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202 results on '"Deutscher Wetterdienst [Offenbach] (DWD)"'

1. The Added Value of Large-eddy and Storm-resolving Models for Simulating Clouds and Precipitation

Author: Sebastian Brune, Andreas Macke, Julia Windmiller, Fabian Senf, Akio Hansen, Ulrike Burkhardt, Hartwig Deneke, Susanne Crewell, Metodija Shapkalijevski, Fabian Jakub, Aiko Voigt, Clemens Simmer, Traute Crüger, Jessica Vial, Martin Köhler, Petra Friederichs, Joachim Biercamp, Rieke Heinze, Matthias Brueck, Niklas Röber, Thirza W. van Laar, Vera Schemann, Puxi Li, Leonhard Scheck, Bernhard Mayer, Ioanna Arka, Sabrina Schnitt, Guido Cioni, Nicolas Rochetin, Dela Spickermann, Montserrat Costa-Surós, Axel Seifert, Vasileios Barlakas, Günter Zängl, Karsten Peters, Cintia Carbajal Henken, Christine Nam, Nils Madenach, Norbert Kalthoff, Shweta Singh, Marek Jacob, Johan Strandgren, Ulrich Löhnert, Octave Tessiot, Panagiotis Adamidis, Stefan A. Buehler, Ann Kristin Naumann, Bjorn Stevens, Johannes Quaas, Cathy Hohenegger, Carolin Klinger, Daniel Klocke, Claudia Acquistapace, Wiebke Schubotz, Odran Sourdeval, Stefan Poll, Nikki Vercauteren, Harald Rybka, Université de Lille, CNRS, Max Planck Institute for Meteorology [MPI-M], Universität zu Köln = University of Cologne, Universität Hamburg [UHH], Max-Planck-Institut für Meteorologie [MPI-M], Ludwig-Maximilians University [Munich] [LMU], Hans Ertel Zentrum für Wetterforschung [Offenbach], Deutscher Wetterdienst [Offenbach] [DWD], Deutsches Klimarechenzentrum [Hamburg] [DKRZ], Deutsches Zentrum für Luft- und Raumfahrt [DLR], Leibniz-Institut für Troposphärenforschung [TROPOS], Universität Bonn = University of Bonn, Leibniz Institute for Tropospheric Research [TROPOS], Freie Universität Berlin, Karlsruher Institut für Technologie [KIT], Chinese Academy of Meteorological Sciences [CAMS], Chinese Academy of Sciences [Beijing] [CAS], Climate Service Center [Hambourg] [GERICS], Universität Leipzig, Institut für Energie- und Klimaforschung - Troposphäre [IEK-8], Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518, Ecole Normale Supérieure Paris-Saclay [ENS Paris Saclay], Lamont-Doherty Earth Observatory [LDEO], Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Universität Hamburg (UHH), Max-Planck-Institut für Meteorologie (MPI-M), Ludwig-Maximilians University [Munich] (LMU), Deutscher Wetterdienst [Offenbach] (DWD), Deutsches Klimarechenzentrum [Hamburg] (DKRZ), Deutsches Zentrum für Luft- und Raumfahrt (DLR), Leibniz-Institut für Troposphärenforschung (TROPOS), Leibniz Institute for Tropospheric Research (TROPOS), Karlsruher Institut für Technologie (KIT), Chinese Academy of Meteorological Sciences (CAMS), Chinese Academy of Sciences [Beijing] (CAS), Climate Service Center [Hambourg] (GERICS), Helmholtz-Zentrum Geesthacht (GKSS), Institut für Energie- und Klimaforschung - Troposphäre (IEK-8), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Lamont-Doherty Earth Observatory (LDEO), and Columbia University [New York]
Subjects: Convection, Atmospheric Science, 010504 meteorology & atmospheric sciences, Meteorology, Cloud cover, representation of clouds and precipitation, 0211 other engineering and technologies, storm-resolving models, large-eddy simulation, clouds, precipitation, climate change, cloud-resolving models, Climate change, 02 engineering and technology, 01 natural sciences, Physics::Geophysics, Diurnal cycle, ddc:550, Precipitation, Physics::Atmospheric and Oceanic Physics, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, high resolution modelling, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Institut für Physik der Atmosphäre, added value of high resolution, Storm, Earth sciences, Convective storm detection, Environmental science, Large eddy simulation
Abstract: More than one hundred days were simulated over very large domains with fine (0.156 km to 2.5 km) grid spacing for realistic conditions to test the hypothesis that storm (kilometer) and large-eddy (hectometer) resolving simulations would provide an improved representation of clouds and precipitation in atmospheric simulations. At scales that resolve convective storms (storm-resolving for short), the vertical velocity variance becomes resolved and a better physical basis is achieved for representing clouds and precipitation. Similarly to past studies we found an improved representation of precipitation at kilometer scales, as compared to models with parameterized convection. The main precipitation features (location, diurnal cycle and spatial propagation) are well captured already at kilometer scales, and refining resolution to hectometer scales does not substantially change the simu-lations in these respects. It does, however, lead to a reduction in the precipitation on the time-scales considered – most notably over the ocean in the tropics. Changes in the distribution of precipitation, with less frequent extremes are also found in simulations incorporating hectometer scales. Hectometer scales appear to be more important for the representation of clouds, and make it possible to capture many important aspects of the cloud field, from the vertical distribution of cloud cover, to the distribution of cloud sizes, and to the diel (daily) cycle. Qualitative improvements, particularly in the ability to differentiate cumulus from stratiform clouds, are seen when one reduces the grid spacing from kilometer to hectometer scales. At the hectometer scale new challenges arise, but the similarity of observed and simulated scales, and the more direct connection between the circula-tion and the unconstrained degrees of freedom make these challenges less daunting. This quality, combined with already improved simulation as compared to more parameterized models, underpins our conviction that the use and further development of storm-resolving models offers exciting opportunities for advancing understanding of climate and climate change.
Published: 2020

2. Remote sensing of droplet number concentration in warm clouds: A review of the current state of knowledge and perspectives

Author: Hartwig Deneke, Graham Feingold, Kenneth Sinclair, Paquita Zuidema, Brian Cairns, J. Christine Chiu, Frank Werner, Manfred Wendisch, Andrew S. Ackerman, Daniel T. McCoy, Bastiaan van Diedenhoven, Ralf Bennartz, R. Boers, John Rausch, Ann M. Fridlind, Mikhail D. Alexandrov, Philip Stier, Herman Russchenberg, Robert Wood, Anja Hünerbein, Daniel Rosenfeld, Daniel P. Grosvenor, Pavlos Kollias, David Painemal, Alexander Marshak, Odran Sourdeval, Michael S. Diamond, Daniel Merk, Zhibo Zhang, Patric Seifert, Christine Knist, Matthew Christensen, Johannes Quaas, Université de Lille, CNRS, University of Leeds, Leipziger Institut für Meteorologie [LIM], Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518, Rosenstiel School of Marine and Atmospheric Science [RSMAS], NASA Goddard Institute for Space Studies [GISS], Department of Applied Physics and Applied Mathematics [New York], Department of Earth and Environmental Sciences [Nashville], Space Science and Engineering Center [Madison] [SSEC], Royal Netherlands Meteorological Institute [KNMI], Colorado State University [Fort Collins] [CSU], Department of Physics [Oxford], CCLRC Rutherford Appleton Laboratory [RAL], Leibniz Institute for Tropospheric Research [TROPOS], University of Washington [Seattle], NOAA Earth System Research Laboratory [ESRL], Deutscher Wetterdienst [Offenbach] [DWD], Stony Brook University [SUNY] [SBU], NASA Goddard Space Flight Center [GSFC], NASA Langley Research Center [Hampton] [LaRC], The Hebrew University of Jerusalem [HUJ], Delft University of Technology [TU Delft], Department of Earth and Environmental Engineering [New York], Center for Climate Systems Research [New York] [CCSR], Joint Center for Earth Systems Technology [Baltimore] [JCET], Department of Physics [Baltimore], Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Leipziger Institut für Meteorologie (LIM), Universität Leipzig, Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami [Coral Gables], NASA Goddard Institute for Space Studies (GISS), NASA Goddard Space Flight Center (GSFC), Columbia University [New York], Space Science and Engineering Center [Madison] (SSEC), University of Wisconsin-Madison, Vanderbilt University [Nashville], Royal Netherlands Meteorological Institute (KNMI), Colorado State University [Fort Collins] (CSU), CCLRC Rutherford Appleton Laboratory (RAL), University of Oxford, Leibniz Institute for Tropospheric Research (TROPOS), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Deutscher Wetterdienst [Offenbach] (DWD), Stony Brook University [SUNY] (SBU), State University of New York (SUNY), NASA Langley Research Center [Hampton] (LaRC), The Hebrew University of Jerusalem (HUJ), Delft University of Technology (TU Delft), Center for Climate Systems Research [New York] (CCSR), Joint Center for Earth Systems Technology [Baltimore] (JCET), NASA Goddard Space Flight Center (GSFC)-University of Maryland [Baltimore County] (UMBC), University of Maryland System-University of Maryland System, University of Maryland [Baltimore County] (UMBC), European Project: 306284,EC:FP7:ERC,ERC-2012-StG_20111012,QUAERERE(2012), European Project: 724602,Recap, and European Project: 641727,H2020,H2020-SC5-2014-two-stage,PRIMAVERA(2015)
Subjects: 010504 meteorology & atmospheric sciences, satellite, Cloud computing, Atmospheric Composition and Structure, Review Article, 010502 geochemistry & geophysics, 01 natural sciences, law.invention, Remote Sensing, Quality (physics), law, Cloud/Radiation Interaction, Instruments and Techniques, Radar, Review Articles, lidar, 0105 earth and related environmental sciences, Remote sensing, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, passive retrievals, Effective radius, business.industry, Remote Sensing and Disasters, Cloud physics, Radiative forcing, cloud droplet concentrations, Geophysics, Lidar, 13. Climate action, Atmospheric Processes, Cloud Physics and Chemistry, Environmental science, Satellite, business, Clouds and Aerosols, Natural Hazards, radar
Abstract: The cloud droplet number concentration (N d) is of central interest to improve the understanding of cloud physics and for quantifying the effective radiative forcing by aerosol‐cloud interactions. Current standard satellite retrievals do not operationally provide N d, but it can be inferred from retrievals of cloud optical depth (τ c) cloud droplet effective radius (r e) and cloud top temperature. This review summarizes issues with this approach and quantifies uncertainties. A total relative uncertainty of 78% is inferred for pixel‐level retrievals for relatively homogeneous, optically thick and unobscured stratiform clouds with favorable viewing geometry. The uncertainty is even greater if these conditions are not met. For averages over 1° ×1° regions the uncertainty is reduced to 54% assuming random errors for instrument uncertainties. In contrast, the few evaluation studies against reference in situ observations suggest much better accuracy with little variability in the bias. More such studies are required for a better error characterization. N d uncertainty is dominated by errors in r e, and therefore, improvements in r e retrievals would greatly improve the quality of the N d retrievals. Recommendations are made for how this might be achieved. Some existing N d data sets are compared and discussed, and best practices for the use of N d data from current passive instruments (e.g., filtering criteria) are recommended. Emerging alternative N d estimates are also considered. First, new ideas to use additional information from existing and upcoming spaceborne instruments are discussed, and second, approaches using high‐quality ground‐based observations are examined., Key Points Satellite cloud droplet concentration uncertainties of 78% for pixel‐level retrievals and 54% for 1 by 1 degree retrievals are estimatedThe effective radius retrieval is the most important aspect for improvement, and more in situ evaluation is neededPotential improvements using passive and active satellite, and ground‐based instruments are discussed
Published: 2018

3. Two-year operation of the lidar 1200: from fine-scale tropospheric structures to lower stratospheric water vapor detection

Author: Françoise Posny, Franck Gabarrot, Guillaume Payen, Valentin Duflot, Jimmy Leclair de Bellevue, Holger Vömel, Nicolas Marquestaut, Philippe Keckhut, Jean-Marc Metzger, Hélène Vérèmes, Susanne Meier, Jean-Luc Baray, Jean-Pierre Cammas, Stephanie Evan, Ruud Dirksen, Observatoire des Sciences de l'Univers de La Réunion (OSU-Réunion), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR), Laboratoire de l'Atmosphère et des Cyclones (LACy), Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Météo France, STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Laboratoire de Météorologie Physique (LaMP), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Lindenberg Meteorological Observatory - Richard Assmann Observatory (MOL-RAO), Deutscher Wetterdienst [Offenbach] (DWD), Earth Observing Laboratory [Boulder] (EOL), National Center for Atmospheric Research [Boulder] (NCAR)-University Corporation for Atmospheric Research (UCAR), Observatoire des Sciences de l'Univers de La Réunion ( OSU-Réunion ), Institut national des sciences de l'Univers ( INSU - CNRS ) -Université de la Réunion ( UR ), Laboratoire de l'Atmosphère et des Cyclones ( LACy ), Météo France-Université de la Réunion ( UR ) -Centre National de la Recherche Scientifique ( CNRS ), SHTI - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales ( LATMOS ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Météorologie Physique - Clermont Auvergne ( LaMP ), Institut national des sciences de l'Univers ( INSU - CNRS ) -Université Clermont Auvergne ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), Lindenberg Meteorological Observatory - Richard Assmann Observatory ( MOL-RAO ), Deutscher Wetterdienst [Offenbach] ( DWD ), Earth Observing Laboratory [Boulder] ( EOL ), National Center for Atmospheric Research [Boulder] ( NCAR ) -University Corporation for Atmospheric Research ( UCAR ), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Météo-France, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)
Subjects: Physics, Time delay and integration, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, 010504 meteorology & atmospheric sciences, Meteorology, Hygrometer, QC1-999, 0211 other engineering and technologies, 02 engineering and technology, [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology, Atmospheric sciences, 01 natural sciences, Troposphere, Lidar, [ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], 13. Climate action, Observatory, Scale (map), Stratosphere, Water vapor, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences
Abstract: International audience; The 2-year lidar water vapor database (November 2013 - October 2015) of the Maïdo Observatory (Reunion Island / 21°S,55.5°E) is now calibrated. The performance of the lidar to provide accurate vertical structures are shown to be good. The ability of measuring quantities of a few ppmv in the lower stratosphere is demonstrated up to 22 km (based on Cryogenic Frostpoint Hygrometer sondes/lidar profiles comparisons) for an integration time period of 48 hours and a vertical resolution of 1.3 km.
Published: 2018

4. Towards improved understanding of the applicability of uncertainty forecasts in the electric power industry

Author: Georges Kariniotakis, Malte Siefert, Corinna Möhrlen, Umit Cali, Jethro Browell, Sebastian Haglund El Gaidi, Bri-Mathias Hodge, Vanessa J. Fundel, Ricardo J. Bessa, Publica, Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa ( INESC-ID ), Instituto Superior Técnico, Universidade Técnica de Lisboa ( IST ) -Instituto de Engenharia de Sistemas e Computadores ( INESC ), WEPROG Aps, Deutscher Wetterdienst [Offenbach] ( DWD ), Fraunhofer Institute for Wind Energy and Energy System Technology, Department of Electronic and Electrical Engineering [University of Strathclyde], University of Strathclyde, Department of Mechanics, Royal Institute of Technology [Stockholm] ( KTH ), NREL, US Department of Energy, The University of North Carolina at Charlotte [Charlotte], Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques ( PERSEE ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa (INESC-ID), Instituto Superior Técnico, Universidade Técnica de Lisboa (IST)-Instituto de Engenharia de Sistemas e Computadores (INESC), Deutscher Wetterdienst [Offenbach] (DWD), Department of Electronic and Electrical Engineering [Strathclyde], University of Strathclyde [Glasgow], Royal Institute of Technology [Stockholm] (KTH ), University of North Carolina [Charlotte] (UNC), University of North Carolina System (UNC), Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques (PERSEE), MINES ParisTech - École nationale supérieure des mines de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Subjects: Engineering, Control and Optimization, 010504 meteorology & atmospheric sciences, Standardization, Operations research, 020209 energy, Best practice, TK, forecast, Energy Engineering and Power Technology, Wind power forecasting, ensembles, 02 engineering and technology, User requirements document, 7. Clean energy, 01 natural sciences, lcsh:Technology, [ SPI.NRJ ] Engineering Sciences [physics]/Electric power, 0202 electrical engineering, electronic engineering, information engineering, wind energy, Electrical and Electronic Engineering, uncertainty, Engineering (miscellaneous), 0105 earth and related environmental sciences, [ INFO.INFO-RO ] Computer Science [cs]/Operations Research [cs.RO], Wind power, Renewable Energy, Sustainability and the Environment, business.industry, lcsh:T, [SPI.NRJ]Engineering Sciences [physics]/Electric power, [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], decision-making, Risk analysis (engineering), statistics, weather, Electricity, Electric power industry, business, Consensus forecast, quantiles, Energy (miscellaneous)
Abstract: International audience; Around the world wind energy is starting to become a major energy provider in electricity markets, as well as participating in ancillary services markets to help maintain grid stability. The reliability of system operations and smooth integration of wind energy into electricity markets has been strongly supported by years of improvement in weather and wind power forecasting systems. Deterministic forecasts are still predominant in utility practice although truly optimal decisions and risk hedging are only possible with the adoption of uncertainty forecasts. One of the main barriers for the industrial adoption of uncertainty forecasts is the lack of understanding of its information content (e.g., its physical and statistical modeling) and standardization of uncertainty forecast products, which frequently leads to mistrust towards uncertainty forecasts and their applicability in practice. This paper aims at improving this understanding by establishing a common terminology and reviewing the methods to determine, estimate, and communicate the uncertainty in weather and wind power forecasts. This conceptual analysis of the state of the art highlights that: (i) end-users should start to look at the forecast’s properties in order to map different uncertainty representations to specific wind energy-related user requirements; (ii) a multidisciplinary team is required to foster the integration of stochastic methods in the industry sector. A set of recommendations for standardization and improved training of operators are provided along with examples of best practices
Published: 2017

5. IEA Wind Task 36 on Wind Power Forecasting

Author: Gregor Giebel, Joël Cline, Helmut Frank, Will Shaw, Bri-Mathias Hodge, Pierre Pinson, Georges Kariniotakis, Draxl Caroline, Risø National Laboratory for Sustainable Energy ( Risø DTU ), Technical University of Denmark [Lyngby] ( DTU ), Deutscher Wetterdienst [Offenbach] ( DWD ), Pacific Northwest National Laboratory ( PNNL ), NREL, US Department of Energy, Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques ( PERSEE ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), Risø National Laboratory for Sustainable Energy (Risø DTU), Technical University of Denmark [Lyngby] (DTU), Deutscher Wetterdienst [Offenbach] (DWD), Pacific Northwest National Laboratory (PNNL), Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques (PERSEE), MINES ParisTech - École nationale supérieure des mines de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Subjects: [ SPI.ENERG ] Engineering Sciences [physics]/domain_spi.energ, [SPI.ENERG]Engineering Sciences [physics]/domain_spi.energ
Abstract: International audience; This poster gives an overview of the IEA Wind Task for Wind Power Forecasting. The Operating Agent is Gregor Giebel of DTU, Co-Operating Agent is Joel Cline of the US Department of Energy. Collaboration in the task is solicited from everyone interested in the forecasting business. We will collaborate with IEA Task 31 Wakebench, which developed the Windbench benchmarking platform, which this task will use for forecasting benchmarks. The task will run for three years, 2016-2018. Main deliverables are an up-to-date list of current projects and main project results, including datasets which can be used by researchers around the world to improve their own models, an IEA Recommended Practice on performance evaluation of probabilistic forecasts, a position paper regarding the use of probabilistic forecasts, and one or more benchmark studies implemented on the Windbench platform hosted at CENER. Additionally, spreading of relevant information in both the forecasters and the users community is paramount. The poster also shows the work done in the first 9 months of the Task, e.g. the collection of available datasets and the learnings from a public workshop on 9 June in Barcelona on Experiences with the Use of Forecasts and Gaps in Research. Participation is open for all institutions in member states of the IEA Annex on Wind Power, see ieawind.org for the up-to-date list.
Published: 2016

6. The First 30 years of GEWEX

Author: Graeme Stephens, Jan Polcher, Xubin Zeng, Peter van Oevelen, Germán Poveda, Michael Bosilovich, Myoung-Hwan Ahn, Gianpaolo Balsamo, Qingyun Duan, Gabriele Hegerl, Christian Jakob, Benjamin Lamptey, Ruby Leung, Maria Piles, Zhongbo Su, Paul Dirmeyer, Kirsten L. Findell, Anne Verhoef, Michael Ek, Tristan L’Ecuyer, Rémy Roca, Ali Nazemi, Francina Dominguez, Daniel Klocke, Sandrine Bony, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Univeristy of Arizona, GEWEX CEOP Network, Partenaires INRAE, Universidad national de Colombia, GSFC Astrophysics Science Division, NASA Goddard Space Flight Center (GSFC), EWHA Womans University (EWHA), European Centre for Medium-Range Weather Forecasts (ECMWF), Hohai University, University of Edinburgh, Monash university, University of Ghana, Pacific Northwest National Laboratory (PNNL), Universitat de València (UV), University of Twente, George Mason University, NOAA Geophysical Fluid Dynamics Laboratory (GFDL), National Oceanic and Atmospheric Administration (NOAA), Department of Meteorology, University of Reading, Reading, UK, National Center for Atmospheric Research [Boulder] (NCAR), University of Wisconsin-Madison, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Concordia University [Montreal], University of Illinois [Springfield], and Deutscher Wetterdienst [Offenbach] (DWD)
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric Science, [SDE]Environmental Sciences, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
Abstract: The Global Energy and Water Cycle Exchanges (GEWEX) project was created more than 30 years ago within the framework of the World Climate Research Programme (WCRP). The aim of this initiative was to address major gaps in our understanding of Earth’s energy and water cycles given a lack of information about the basic fluxes and associated reservoirs of these cycles. GEWEX sought to acquire and set standards for climatological data on variables essential for quantifying water and energy fluxes and for closing budgets at the regional and global scales. In so doing, GEWEX activities led to a greatly improved understanding of processes and our ability to predict them. Such understanding was viewed then, as it remains today, essential for advancing weather and climate prediction from global to regional scales. GEWEX has also demonstrated over time the importance of a wider engagement of different communities and the necessity of international collaboration for making progress on understanding and on the monitoring of the changes in the energy and water cycles under ever increasing human pressures. This paper reflects on the first 30 years of evolution and progress that has occurred within GEWEX. This evolution is presented in terms of three main phases of activity. Progress toward the main goals of GEWEX is highlighted by calling out a few achievements from each phase. A vision of the path forward for the coming decade, including the goals of GEWEX for the future, are also described.
Published: 2022

7. Wind power forecasting: IEA Wind Task 36 & future research issues

Author: Helmut Frank, Bri-Mathias Hodge, Pierre Pinson, Corinna Möhrlen, Georges Kariniotakis, Joel Cline, Jens Madsen, William J. Shaw, Gregor Giebel, Risø National Laboratory for Sustainable Energy ( Risø DTU ), Technical University of Denmark [Lyngby] ( DTU ), Deutscher Wetterdienst [Offenbach] ( DWD ), Pacific Northwest National Laboratory ( PNNL ), NREL, US Department of Energy, Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques ( PERSEE ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), VATTENFALL, Research and Development, WEPROG Aps, Risø National Laboratory for Sustainable Energy (Risø DTU), Technical University of Denmark [Lyngby] (DTU), Deutscher Wetterdienst [Offenbach] (DWD), Pacific Northwest National Laboratory (PNNL), Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques (PERSEE), MINES ParisTech - École nationale supérieure des mines de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Subjects: History, Engineering, Operations research, 020209 energy, Weather forecasting, Wind power forecasting, forecasting, 02 engineering and technology, computer.software_genre, 7. Clean energy, Education, Task (project management), [SPI.ENERG]Engineering Sciences [physics]/domain_spi.energ, 0202 electrical engineering, electronic engineering, information engineering, [ SPI.ENERG ] Engineering Sciences [physics]/domain_spi.energ, Wind power, End user, business.industry, 020208 electrical & electronic engineering, Benchmarking, Numerical weather prediction, Computer Science Applications, 13. Climate action, Consensus forecast, business, computer
Abstract: International audience; This paper presents the new International Energy Agency Wind Task 36 on Forecasting, and invites to collaborate within the group. Wind power forecasts have been used operatively for over 20 years. Despite this fact, there are still several possibilities to improve the forecasts, both from the weather prediction side and from the usage of the forecasts. The new International Energy Agency (IEA) Task on Forecasting for Wind Energy tries to organise international collaboration, among national meteorological centres with an interest and/or large projects on wind forecast improvements (NOAA, DWD, MetOffice, met.no, DMI,...), operational forecaster and forecast users. The Task is divided in three work packages: Firstly, a collaboration on the improvement of the scientific basis for the wind predictions themselves. This includes numerical weather prediction model physics, but also widely distributed information on accessible datasets. Secondly, we will be aiming at an international pre-standard (an IEA Recommended Practice) on benchmarking and comparing wind power forecasts, including probabilistic forecasts. This WP will also organise benchmarks, in cooperation with the IEA Task WakeBench. Thirdly, we will be engaging end users aiming at dissemination of the best practice in the usage of wind power predictions. As first results, an overview of current issues for research in short-term forecasting of wind power is presented.
Published: 2016

8. Observations and Implications of Diurnal Climatology and Trends in Direct and Diffuse Solar Radiation Over China

Author: Yawen Wang, Jiahua Zhang, Jörg Trentmann, Stephanie Fiedler, Su Yang, Arturo Sanchez‐Lorenzo, Katsumasa Tanaka, Wenping Yuan, Martin Wild, Ocean University of China (OUC), Aerospace Information Research Institute, Chinese Academy of Sciences [Beijing] (CAS), CAS Key Laboratory of Earth and Planetary Physics (EPP), Institute of Geology and Geophysics [Beijing] (IGG), Chinese Academy of Sciences [Beijing] (CAS)-Chinese Academy of Sciences [Beijing] (CAS), Deutscher Wetterdienst [Offenbach] (DWD), Institute for Geophysics and Meteorology [Köln] (IGM), University of Cologne, Hans Ertel Zentrum für Wetterforschung [Offenbach], China Meteorological Administration (CMA), Universidad de Extremadura - University of Extremadura (UEX), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), National Institute for Environmental Studies (NIES), School of Atmospheric Sciences [Zhuhai], Sun Yat-Sen University [Guangzhou] (SYSU), Southern Marine Science and Engineering Guangdong Laboratory, Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), and ANR-19-MPGA-0008,PRATO,Achieving the Paris Agreement Temperature Targets after Overshoot(2019)
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric Science, Geophysics, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
Abstract: Solar radiation received at the Earth's surface (Rs) is comprised of two components, the direct radiation (Rd) and the diffuse radiation (Rf). Rd, the direct beam from the sun, is essential for concentrated solar power generation. Rf, scattered by atmospheric molecules, aerosols, or cloud droplets, has a fertilization effect on plant photosynthesis. But how Rd and Rf change diurnally is largely unknown owing to the lack of long-term measurements. Taking advantage of 22 years of homogeneous hourly surface observations over China, this study documents the climatological means and evolutions in the diurnal cycles of Rd and Rf since 1993, with an emphasis on their implications for solar power and agricultural production. Over the solar energy resource region, we observe a loss of Rd which is relatively large near sunrise and sunset at low solar elevation angles when the sunrays pass through the atmosphere on a longer pathway. However, the concentrated Rd energy covering an average 10-hr period around noon during a day is relatively unaffected. Over the agricultural crop resource region, the large amounts of clouds and aerosols scattering more of the incoming light result in Rf taking the main proportion of Rs during the whole day. Rf resources and their fertilization effect in the main crop region of China further enhances since 1993 over almost all hours of the day. Key Points: - The loss of direct radiation over China since 1993 is relatively large at sunrise and sunset with little effect on solar power generation - The diffuse component dominates solar radiation normally near sunrise and sunset, but for the whole day over the main sown area of China - The diffuse fraction is further enhanced in the main sown area of China over almost all hours of the day since 1993
Published: 2022

9. Evaluation of the new DWD ozone and temperature lidar during the Hohenpeißenberg Ozone Profiling Study (HOPS) and comparison of results with previous NDACC campaigns

Author: Grant Sumnicht, Wolfgang Steinbrecht, Thomas J. McGee, Sergey Khaykin, John T. Sullivan, Robin Wing, Laurence Twigg, Sophie Godin-Beekmann, STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Deutscher Wetterdienst [Offenbach] (DWD), and NASA Goddard Space Flight Center (GSFC)
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], Atmospheric Science, 010504 meteorology & atmospheric sciences, Meteorology, TA715-787, Environmental engineering, Context (language use), TA170-171, 010502 geochemistry & geophysics, 01 natural sciences, law.invention, Atmosphere, Microwave Limb Sounder, Depth sounding, Lidar, Earthwork. Foundations, 13. Climate action, law, Radiosonde, Environmental science, Radiometry, Satellite, 0105 earth and related environmental sciences
Abstract: A newly upgraded German Weather Service (DWD) ozone and temperature lidar (HOH) located at the Hohenpeißenberg Meteorological Observatory (47.8∘ N, 11.0∘ E) has been evaluated through comparison with the travelling standard lidar operated by NASA's Goddard Space Flight Center (NASA GSFC Stratospheric Ozone (STROZ) lidar), satellite overpasses from the Microwave Limb Sounder (MLS), the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER), the Ozone Mapping and Profiler Suite (OMPS), meteorological radiosondes launched from Munich (65 km northeast), and locally launched ozonesondes. The “blind” evaluation was conducted under the framework of the Network for the Detection of Atmospheric Composition Change (NDACC) using 10 clear nights of measurements in 2018 and 2019. The campaign, referred to as the Hohenpeißenberg Ozone Profiling Study (HOPS), was conducted within the larger context of NDACC validation activities for European lidar stations. There was good agreement between all ozone lidar measurements in the range of 15 to 41 km with relative differences between co-located ozone profiles of less than ±10 %. Differences in the measured ozone number densities between the lidars and the locally launched ozone sondes were also generally less than 5 % below 30 km. The satellite ozone profiles demonstrated some differences with respect to the ground-based lidars which are due to sampling differences and geophysical variation. Both the original and new DWD lidars continue to meet the NDACC standard for lidar ozone profiles by exceeding 3 % accuracy between 16.5 and 43 km. Temperature differences for all instruments were less than ±5 K below 60 km, with larger differences present in the lidar–satellite comparisons above this region. Temperature differences between the DWD lidars met the NDACC accuracy requirements of ±1 K between 17 and 78 km. A unique cross-comparison between the HOPS campaign and a similar, recent campaign at Observatoire de Haute-Provence (Lidar Validation NDACC Experiment; LAVANDE) allowed for an investigation into potential biases in the NASA-STROZ reference lidar. The reference lidar may slightly underestimate ozone number densities above 43 km with respect to the French and German NDACC lidars. Below 20 km, the reference lidar temperatures profiles are 5 to 10 K cooler than the temperatures which are reported by the other instruments.
Published: 2021

10. Validation of the Atmospheric Chemistry Experiment (ACE) version 2.2 temperature using ground-based and space-borne measurements

Author: Sica, R. J., Izawa, M. R. M., Walker, K. A., Boone, Petelina, S. V., Argall, P. S., Bernath, Burns, G. B., Catoire, Collins, R. L., Daffer, W. H., De Clercq, Fan, Z. Y., Firanski, B. J., French, W. J. R., Gerard, Gerding, Granville, Innis, J. L., Keckhut, Kerzenmacher, Klekociuk, A. R., Kyrö, Lambert, J. C., Llewellyn, E. J., Manney, G. L., McDermid, I. S., Mizutani, Murayama, Piccolo, Raspollini, Ridolfi, Robert, Steinbrecht, Strawbridge, K. B., Strong, Stübi, Thurairajah, B.: Validation of the Atmospheric Chemistry Experiment (ACE) version 2.2 temperature using ground-based, space-borne measurements, Atmos. Chem. Phys. Discuss., 7, 12463-12539, Department of Physics and Astronomy [London, ON], University of Western Ontario ( UWO ), Department of Earth Sciences [London, ON], Department of Chemistry [Waterloo], University of Waterloo [Waterloo], Department of Physics [Toronto], University of Toronto, Institute of Space and Atmospheric Studies [Saskatoon] ( ISAS ), University of Saskatchewan [Saskatoon] ( U of S ), Department of Physics [Victoria], La Trobe University [Melbourne], Department of Chemistry [York, UK], University of York [York, UK], Ice, Ocean, Atmosphere and Climate Program [Kingston] ( IOAC ), Australian Antarctic Division ( AAD ), Australian Government, Department of the Environment and Energy-Australian Government, Department of the Environment and Energy, Laboratoire de physique et chimie de l'environnement ( LPCE ), Institut national des sciences de l'Univers ( INSU - CNRS ) -Université d'Orléans ( UO ) -Centre National de la Recherche Scientifique ( CNRS ), Geophysical Institute [Fairbanks], University of Alaska Fairbanks ( UAF ), Columbus Technologies Inc., Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique ( BIRA-IASB ), Environment and Climate Change Canada, Leibniz-Institute of Atmospheric Physics ( AIP ), Service d'aéronomie ( SA ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ), Arctic Research Centre of Finnish Meteorological Institute, Finnish Meteorological Institute ( FMI ), Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ), New Mexico Institute of Mining and Technology [New Mexico Tech] ( NMT ), National Institute of Information and Communications Technology ( NICT ), Department of Atmospheric, Oceanic and Planetary Physics [Oxford] ( AOPP ), University of Oxford [Oxford], Istituto di Fisica Applicata 'Nello Carrara' ( IFAC ), Consiglio Nazionale delle Ricerche [Roma] ( CNR ), Dipartimento di Chimica Fisica e Inorganica [Bologna], Università di Bologna [Bologna] ( UNIBO ), Meteorologisches Observatorium Hohenpeißenberg ( MOHp ), Deutscher Wetterdienst [Offenbach] ( DWD ), Federal Office of Meteorology and Climatology MeteoSwiss, R. J. Sica, M. R. M. Izawa, K. A. Walker, C. Boone, S. V. Petelina, P. S. Argall, P. Bernath, G. B. Burns, V. Catoire, R. L. Collins, W. H. Daffer, C. De Clercq, Z. Y. Fan, B. J. Firanski, W. J. R. French, P. Gerard, M. Gerding, J. Granville, J. L. Innis, P. Keckhut, T. Kerzenmacher, A. R. Klekociuk, E. Kyrö, J. C. Lambert, E. J. Llewellyn, G. L. Manney, I. S. McDermid, K. Mizutani, Y. Murayama, C. Piccolo, P. Raspollini, M. Ridolfi, C. Robert, W. Steinbrecht, K. B. Strawbridge, K. Strong, R. St&#369, bi, B. Thurairajah, University of Western Ontario (UWO), Institute of Space and Atmospheric Studies [Saskatoon] (ISAS), Department of Physics and Engineering Physics [Saskatoon], University of Saskatchewan [Saskatoon] (U of S)-University of Saskatchewan [Saskatoon] (U of S), Ice, Ocean, Atmosphere and Climate Program [Kingston] (IOAC), Australian Antarctic Division (AAD), Laboratoire de physique et chimie de l'environnement (LPCE), Université d'Orléans (UO)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), University of Alaska [Fairbanks] (UAF), Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB), Leibniz-Institute of Atmospheric Physics (AIP), Service d'aéronomie (SA), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Finnish Meteorological Institute (FMI), Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), New Mexico Institute of Mining and Technology [New Mexico Tech] (NMT), National Institute of Information and Communications Technology [Tokyo, Japan] (NICT), Department of Atmospheric, Oceanic and Planetary Physics [Oxford] (AOPP), Istituto di Fisica Applicata 'Nello Carrara' (IFAC), Consiglio Nazionale delle Ricerche [Roma] (CNR), Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Meteorologisches Observatorium Hohenpeißenberg (MOHp), Deutscher Wetterdienst [Offenbach] (DWD), Science and Technology Branch, Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), University of Oxford, and National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR)
Subjects: [ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric Science, 010504 meteorology & atmospheric sciences, Space (mathematics), Atmospheric sciences, 01 natural sciences, Mesosphere, lcsh:Chemistry, Troposphere, 010309 optics, remote sensing, Atmospheric composition and structure, Quality (physics), Coincident, 0103 physical sciences, Stratosphere, 0105 earth and related environmental sciences, validation, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Chemistry, Temperature, lcsh:QC1-999, Lidar, lcsh:QD1-999, 13. Climate action, Retrieval techniques, Atmospheric chemistry, lcsh:Physics
Abstract: An ensemble of space-borne and ground-based instruments has been used to evaluate the quality of the version 2.2 temperature retrievals from the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS). The agreement of ACE-FTS temperatures with other sensors is typically better than 2 K in the stratosphere and upper troposphere and 5 K in the lower mesosphere. There is evidence of a systematic high bias (roughly 3–6 K) in the ACE-FTS temperatures in the mesosphere, and a possible systematic low bias (roughly 2 K) in ACE-FTS temperatures near 23 km. Some ACE-FTS temperature profiles exhibit unphysical oscillations, a problem fixed in preliminary comparisons with temperatures derived using the next version of the ACE-FTS retrieval software. Though these relatively large oscillations in temperature can be on the order of 10 K in the mesosphere, retrieved volume mixing ratio profiles typically vary by less than a percent or so. Statistical comparisons suggest these oscillations occur in about 10% of the retrieved profiles. Analysis from a set of coincident lidar measurements suggests that the random error in ACE-FTS version 2.2 temperatures has a lower limit of about ±2 K.
Published: 2007

11. Quantifying the impact of gravity waves on infrasound propagation using high-resolution global models for atmospheric specifications

Author: Constantino Listowski, Claudia Stephan, Alexis Le Pichon, Alain Hauchecorne, Young-Ha Kim, Ulrich Achatz, Gergely Bölöni, DAM Île-de-France (DAM/DIF), Direction des Applications Militaires (DAM), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Goethe-Universität Frankfurt am Main, and Deutscher Wetterdienst [Offenbach] (DWD)
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
Abstract: Gravity Waves (GW) alter the propagation path of acoustic energy in the middle atmospheric waveguide and complexify the large scale picture where infrasound (IS) propagation is mainly driven by the seasonal changes in stratospheric winds. Thus, GW affect the detection capability of the IS station network of the International Monitoring System (IMS) established to monitor the compliance with the Comprehensive Nuclear-Test-Ban Treaty (CTBT). Atmospheric models explicitly resolving a part of the GW spectrum are relevant tools to be considered for investigating the effect of GW on infrasound propagation, given increasing computing means made available by HPC facilities. Parabolic equation simulations allow accounting for the partial reflections induced by GW. They can be used to quantify the impact of GW on infrasound transmission loss, for instance. Here, we use atmospheric specification fields obtained in the framework of the Dynamics of the Atmospheric General Circulation Modeled on Nonhydrostatic Domains (DYAMOND). DYAMOND is an international project, initiated by the Max Planck Institute for Meteorology (MPIM) and the University of Tokyo. It describes a framework for the intercomparison of high-resolution global models. It mainly focuses on the troposphere, but some models were run with a high enough top so that GW are resolved up to the stratosphere. Lidar observations are used to validate the model at Observatoire de Haute Provence (France) and we investigate the potential energy of GW activity across the IMS. By filtering out small-scale perturbations (GW) in atmospheric specifications and comparing parabolic equation simulations with and without GW, respectively, we quantify the impact of GW on the main atmospheric waveguide. We focus on the transmission loss derived at the surface, and more particularly in the shadow zones, for different national or IMS infrasound stations during the (northern hemisphere) winter.
Published: 2022

12. Origin of anthropogenic hydrocarbons and halocarbons measured in the summertime european outflow (on Crete in 2001)

Author: J. van Aardenne, Maarten Krol, Elliot Atlas, Jürgen M. Lobert, R. Hofmann, R. von Kuhlmann, G. Salisbury, Mark Lawrence, Jos Lelieveld, Jonathan Williams, Harald Berresheim, Valérie Gros, Chemie der Atmosphäre [MPIC], Max-Planck-Institut für Chemie ( MPIC ), Institute for Marine and Atmospheric Research Utrecht ( IMAU ), Utrecht University [Utrecht], Deutscher Wetterdienst [Offenbach] ( DWD ), Teledyne-API, 6565 Nancy Ridge Drive, National Center for Atmospheric Research [Boulder] ( NCAR ), Max-Planck-Institut für Chemie (MPIC), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Institute for Marine and Atmospheric Research [Utrecht] (IMAU), Deutscher Wetterdienst [Offenbach] (DWD), National Center for Atmospheric Research [Boulder] (NCAR), and EGU, Publication
Subjects: Mediterranean climate, [ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric Science, 010504 meteorology & atmospheric sciences, 010501 environmental sciences, Atmospheric sciences, Global model, 01 natural sciences, lcsh:Chemistry, General pattern, Emission inventory, Air mass, 0105 earth and related environmental sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, business.industry, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, Fossil fuel, Sampling (statistics), lcsh:QC1-999, lcsh:QD1-999, 13. Climate action, Environmental chemistry, Environmental science, Outflow, business, lcsh:Physics
Abstract: During the Mediterranean Intensive Oxidant Study MINOS in August 2001, 87 air samples were collected at the ground-based station Finokalia (35°19'N, 25°40'E) on the north coast of Crete and subsequently analysed by GC-MS. The analysis includes various hydrocarbons, organo-halogens, HCFCs and CFCs. These compounds have a wide variety of sources and sinks and a large range of atmospheric lifetimes. We evaluated the characteristics of the sampling site in terms of proximity to individual sources by plotting the measured variability of these species against lifetime. The resulting linear relationship suggests that the sampling site is representative of intermediate conditions between a remote site and one that is in the vicinity of a wide variety of sources. Our analysis of air mass origin and chemical ratios also shows that several distinct anthropogenic sources influenced the atmospheric composition over Crete. Propane observations are compared to a global model to assess the fossil fuel related emission inventory. Although the model reproduces the general pattern of the propane variations, the model mixing ratios are systematically too low by a factor of 1.5 to 3, probably due to an underestimation of the propane emissions from east European countries in the underlying global database EDGAR. Another important finding was that methyl chloroform, a compound banned under the Montreal protocol, showed significant enhancements from background, which were well correlated with CFC-113. This suggests continued use and emission of methyl chloroform by one or more European countries. We also discuss the observed variations of methyl bromide and suggest that the significant peak observed on 12 August 2001 reflects heavy agricultural use as a soil fumigant in Italy.
Published: 2003

13. Consistency of Satellite Climate Data Records for Earth System Monitoring

Author: Emilio Chuvieco, Michael Buchwitz, Thomas Popp, Victoria Bennett, Ulrika Willén, Benoit Meyssignac, Stefan G. H. Simis, Frank Paul, Wouter Dorigo, Shubha Sathyendranath, Philippe Ciais, Shaun Quegan, Rainer Hollmann, Christopher J. Merchant, Annett Bartsch, Carsten Brockmann, Thomas Lavergne, Tracy Scanlon, Fabrice Ardhuin, Ana Bastos, Richard G. Jones, Michaela I. Hegglin, Darren Ghent, Marc Schröder, Jacqueline Boutin, Deutsches Zentrum für Luft- und Raumfahrt [Oberpfaffenhofen-Wessling] (DLR), University of Reading (UOR), Deutscher Wetterdienst [Offenbach] (DWD), Laboratoire d'Océanographie Physique et Spatiale (LOPS), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Ludwig-Maximilians-Universität München (LMU), NERC National Centre for Earth Observation (NCEO), Natural Environment Research Council (NERC), STFC Rutherford Appleton Laboratory (RAL), Science and Technology Facilities Council (STFC), Processus et interactions de fine échelle océanique (PROTEO), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Institute of Environmental Physics [Bremen] (IUP), University of Bremen, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ICOS-ATC (ICOS-ATC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Department of Geodesy and Geoinformation [Wien], Vienna University of Technology (TU Wien), Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], Norwegian Meteorological Institute [Oslo] (MET), Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Department of Geography [Zürich], Universität Zürich [Zürich] = University of Zurich (UZH), School of Mathematics and Statistics [Sheffield] (SoMaS), University of Sheffield [Sheffield], Plymouth Marine Laboratory (PML), Plymouth Marine Laboratory, Swedish Meteorological and Hydrological Institute (SMHI), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), University of Zurich, and Popp, Thomas
Subjects: Atmospheric Science, 010504 meteorology & atmospheric sciences, Computer science, media_common.quotation_subject, Climate change, 010502 geochemistry & geophysics, computer.software_genre, 01 natural sciences, Task (project management), Consistency (database systems), Climate records, 1902 Atmospheric Science, 910 Geography & travel, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, media_common, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Remote sensing, Satellite observations, Metadata, Interdependence, Earth system science, 10122 Institute of Geography, 13. Climate action, Key (cryptography), Satellite, Data mining, Atmosphäre, computer
Abstract: Climate data records (CDRs) of essential climate variables (ECVs) as defined by the Global Climate Observing System (GCOS) derived from satellite instruments help to characterize the main components of the Earth system, to identify the state and evolution of its processes, and to constrain the budgets of key cycles of water, carbon, and energy. The Climate Change Initiative (CCI) of the European Space Agency (ESA) coordinates the derivation of CDRs for 21 GCOS ECVs. The combined use of multiple ECVs for Earth system science applications requires consistency between and across their respective CDRs. As a comprehensive definition for multi-ECV consistency is missing so far, this study proposes defining consistency on three levels: 1) consistency in format and metadata to facilitate their synergetic use (technical level); 2) consistency in assumptions and auxiliary datasets to minimize incompatibilities among datasets (retrieval level); and 3) consistency between combined or multiple CDRs within their estimated uncertainties or physical constraints (scientific level). Analyzing consistency between CDRs of multiple quantities is a challenging task and requires coordination between different observational communities, which is facilitated by the CCI program. The interdependencies of the satellite-based CDRs derived within the CCI program are analyzed to identify where consistency considerations are most important. The study also summarizes measures taken in CCI to ensure consistency on the technical level, and develops a concept for assessing consistency on the retrieval and scientific levels in the light of underlying physical knowledge. Finally, this study presents the current status of consistency between the CCI CDRs and future efforts needed to further improve it.
Published: 2020

14. The regional European atmospheric transport inversion comparison, EUROCOM

Author: Monteil, Guillaume, Broquet, Grégoire, Scholze, Marko, Lang, Matthew, Karstens, Ute, Gerbig, Christoph, Koch, Frank-Thomas, Smith, Naomi, Thompson, Rona, Luijkx, Ingrid, White, Emily, Meesters, Antoon, Ciais, Philippe, Ganesan, Anita, Manning, Alistair, Mischurow, Michael, Peters, Wouter, Peylin, Philippe, Tarniewicz, Jérome, Rigby, Matt, Rödenbeck, Christian, Vermeulen, Alex, Walton, Evie, Department of Physical Geography and Ecosystem Science [Lund], Lund University [Lund], Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Deutscher Wetterdienst [Offenbach] (DWD), Wageningen University and Research [Wageningen] (WUR), Norsk Institutt for Luftforskning (NILU), Meteorology and Air Quality Group, University of Bristol [Bristol], Vrije Universiteit Amsterdam [Amsterdam] (VU), Centre for Isotope Research [Groningen] (CIO), University of Groningen [Groningen], Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Earth and Climate, Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ICOS-ATC (ICOS-ATC), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), and Isotope Research
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, LAND, GREENHOUSE-GAS EMISSIONS, WIMEK, ASSIMILATION, QUANTIFICATION, Luchtkwaliteit, FRAMEWORK, UNCERTAINTIES, Air Quality, MODEL, DIOXIDE EXCHANGE, CO2 INVERSIONS, [SDE]Environmental Sciences, Life Science, CYCLE, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS
Abstract: Atmospheric inversions have been used for the past two decades to derive large-scale constraints on the sources and sinks of CO2 into the atmosphere. The development of dense in situ surface observation networks, such as ICOS in Europe, enables in theory inversions at a resolution close to the country scale in Europe. This has led to the development of many regional inversion systems capable of assimilating these high-resolution data, in Europe and elsewhere. The EUROCOM (European atmospheric transport inversion comparison) project is a collaboration between seven European research institutes, which aims at producing a collective assessment of the net carbon flux between the terrestrial ecosystems and the atmosphere in Europe for the period 2006–2015. It aims in particular at investigating the capacity of the inversions to deliver consistent flux estimates from the country scale up to the continental scale. The project participants were provided with a common database of in situ-observed CO2 concentrations (including the observation sites that are now part of the ICOS network) and were tasked with providing their best estimate of the net terrestrial carbon flux for that period, and for a large domain covering the entire European Union. The inversion systems differ by the transport model, the inversion approach, and the choice of observation and prior constraints, enabling us to widely explore the space of uncertainties. This paper describes the intercomparison protocol and the participating systems, and it presents the first results from a reference set of inversions, at the continental scale and in four large regions. At the continental scale, the regional inversions support the assumption that European ecosystems are a relatively small sink (-0.21±0.2 Pg C yr−1). We find that the convergence of the regional inversions at this scale is not better than that obtained in state-of-the-art global inversions. However, more robust results are obtained for sub-regions within Europe, and in these areas with dense observational coverage, the objective of delivering robust country-scale flux estimates appears achievable in the near future.
Published: 2020

15. On the determination of coherent solar climates over a tropical island with a complex topography

Author: François Bonnardot, Jörg Trentmann, Jean-Pierre Chabriat, Benjamin Pohl, Guillaume Jumaux, Pauline Mialhe, Béatrice Morel, Miloud Bessafi, Laboratoire d'Energétique, d'Electronique et Procédés (LE2P), Université de La Réunion (UR), Biogéosciences [UMR 6282] [Dijon] (BGS), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Deutscher Wetterdienst [Offenbach] (DWD), Météo France [Sainte-Clotilde], Météo France, and PhD fellowship funded by the European Regional Development Fund and Regional Council of La Réunion.
Subjects: Complex topography, 020209 energy, La Réunion island, 02 engineering and technology, Atmospheric sciences, Surface solar radiation, Cluster analysis, Solar Resource, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, 14. Life underwater, geography, geography.geographical_feature_category, Renewable Energy, Sustainability and the Environment, business.industry, Complex meteorological context, 021001 nanoscience & nanotechnology, Renewable energy, Indian ocean, Tropical islands, Volcano, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, 13. Climate action, Period (geology), Seasonal/diurnal cycles, Environmental science, Spatial variability, 0210 nano-technology, business, SARAH-E
Abstract: Many tropical islands aim at developing a greener self-sufficient energy production systems based on renewable energy, notably solar-generated electricity. This work explores the mean diurnal and annual solar cycles over La Reunion island (southwest Indian Ocean: 21°S, 55.5°E), and their spatial behavior, using the Solar surfAce RAdiation Heliosat – East (SARAH-E) satellite-derived data at high spatial ( 0.05 ° × 0.05 ° ) and time (hourly) resolutions over period 1999–2016. Comparisons of the SARAH-E data with ground-based measurements over the period 2011–2015 show differences of ~ 15 % for diurnal-seasonal variations. The solar resource over the island displays strong spatial variability, with differences larger than 100 W m - 2 between coastal and mountainous zones. The mean solar resource is lower on the island than on the nearby sea by ~ 20 %. The strongest interactions between the diurnal and annual cycles are found at the windward mid-slopes and near the active volcano, in line with the well-known cloud processes encountered there. A clustering of solar zones, based on diurnal-seasonal cycles, structures the island into a dipole that opposes the western to the eastern side of the island.
Published: 2020

16. En el postprint el titulo es: Climate models underpredict North Atlantic atmospheric circulation changes

Author: Wolfgang A. Müller, Leon Hermanson, Reinel Sospedra-Alfonso, Stephen Yeager, Adam A. Scaife, Holger Pohlmann, Gokhan Danabasoglu, Roberto Bilbao, William J. Merryfield, Masahide Kimoto, Jon Robson, Pablo Ortega, Leonard Borchert, Rosie Eade, Paolo Ruggieri, Klaus Pankatz, Victor Estella-Perez, Ingo Bethke, Dario Nicolì, Yiguo Wang, Simon Wild, Kameswarrao Modali, Takashi Mochizuki, Doug Smith, Alessio Bellucci, Xiaosong Yang, Nick Dunstone, Noel Keenlyside, Francois Counillon, Liping Zhang, Paul-Arthur Monerie, Viatcheslav Kharin, Simona Flavoni, Juliette Mignot, Panos Athanasiadis, Didier Swingedouw, Thomas L. Delworth, Louis-Philippe Caron, Francisco J. Doblas-Reyes, Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS), University of Exeter, Centro Euro-Mediterraneo per i Cambiamenti Climatici [Bologna] (CMCC), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS), Océan et variabilité du climat (VARCLIM), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Nansen Environmental and Remote Sensing Center [Bergen] (NERSC), National Center for Atmospheric Research [Boulder] (NCAR), NOAA Geophysical Fluid Dynamics Laboratory (GFDL), National Oceanic and Atmospheric Administration (NOAA), Institució Catalana de Recerca i Estudis Avançats (ICREA), Canadian Centre for Climate Modelling and Analysis (CCCma), Environment and Climate Change Canada, Atmosphere and Ocean Research Institute [Kashiwa-shi] (AORI), The University of Tokyo (UTokyo), Department of Earth and Planetary Sciences [Fukuoka], Kyushu University [Fukuoka], Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Deutscher Wetterdienst [Offenbach] (DWD), Environnements et Paléoenvironnements OCéaniques (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), European Project: 776613,Fighting and adapting to climate change,H2020-EU.3.5.1,EUCP(2017), European Project: 727852,Blue-Action(2016), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Kyushu University, Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Pratique des Hautes Études (EPHE), Barcelona Supercomputing Center, Smith D.M., Scaife A.A., Eade R., Athanasiadis P., Bellucci A., Bethke I., Bilbao R., Borchert L.F., Caron L.-P., Counillon F., Danabasoglu G., Delworth T., Doblas-Reyes F.J., Dunstone N.J., Estella-Perez V., Flavoni S., Hermanson L., Keenlyside N., Kharin V., Kimoto M., Merryfield W.J., Mignot J., Mochizuki T., Modali K., Monerie P.-A., Muller W.A., Nicoli D., Ortega P., Pankatz K., Pohlmann H., Robson J., Ruggieri P., Sospedra-Alfonso R., Swingedouw D., Wang Y., Wild S., Yeager S., Yang X., and Zhang L.
Subjects: 010504 meteorology & atmospheric sciences, Atmospheric circulation, Climatologia -- Models matemàtics, SEASONAL PREDICTIONS, ATMOSPHERIC CIRCULATION, DECADAL PREDICTION, OSCILLATION, VARIABILITY, SKILL, CMIP5, NAO, INITIALIZATION, UNCERTAINTY, Climate change, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], Climatology--Computer programs, 010502 geochemistry & geophysics, 01 natural sciences, Climate models, Predictable signal, Simulació per ordinador, Projection of climate change, Precipitation, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Desenvolupament humà i sostenible [Àrees temàtiques de la UPC], Decadal predictions, Multidisciplinary, Mode (statistics), Variance (land use), Computer simulation, Climatic changes, 13. Climate action, North Atlantic oscillation, Climatology, North Atlantic atmospheric circulation, Environmental science, Errors-in-variables models, Climate model
Abstract: Quantifying signals and uncertainties in climate models is essential for the detection, attribution, prediction and projection of climate change1,2,3. Although inter-model agreement is high for large-scale temperature signals, dynamical changes in atmospheric circulation are very uncertain4. This leads to low confidence in regional projections, especially for precipitation, over the coming decades5,6. The chaotic nature of the climate system7,8,9 may also mean that signal uncertainties are largely irreducible. However, climate projections are difficult to verify until further observations become available. Here we assess retrospective climate model predictions of the past six decades and show that decadal variations in North Atlantic winter climate are highly predictable, despite a lack of agreement between individual model simulations and the poor predictive ability of raw model outputs. Crucially, current models underestimate the predictable signal (the predictable fraction of the total variability) of the North Atlantic Oscillation (the leading mode of variability in North Atlantic atmospheric circulation) by an order of magnitude. Consequently, compared to perfect models, 100 times as many ensemble members are needed in current models to extract this signal, and its effects on the climate are underestimated relative to other factors. To address these limitations, we implement a two-stage post-processing technique. We first adjust the variance of the ensemble-mean North Atlantic Oscillation forecast to match the observed variance of the predictable signal. We then select and use only the ensemble members with a North Atlantic Oscillation sufficiently close to the variance-adjusted ensemble-mean forecast North Atlantic Oscillation. This approach greatly improves decadal predictions of winter climate for Europe and eastern North America. Predictions of Atlantic multidecadal variability are also improved, suggesting that the North Atlantic Oscillation is not driven solely by Atlantic multidecadal variability. Our results highlight the need to understand why the signal-to-noise ratio is too small in current climate models10, and the extent to which correcting this model error would reduce uncertainties in regional climate change projections on timescales beyond a decade. DMS, AAS, NJD, LH and RE were supported by the Met Office Hadley Centre Climate Programme funded by BEIS and Defra and by the European Commission Horizon 2020 EUCP project (GA 776613). FJDR, LPC, SW and RB also acknowledge the support from the EUCP project (GA 776613) and from the Ministerio de Econom´ıa y Competitividad (MINECO) as part of the CLINSA project (Grant No. CGL2017-85791-R). SW received funding from the innovation programme under the Marie Sk´lodowska-Curie grant agreement H2020-MSCA-COFUND-2016-754433 and PO from the Ramon y Cajal senior tenure programme of MINECO. The EC-Earth simulations were performed on Marenostrum 4 (hosted by the Barcelona Supercomputing Center, Spain) using Auto-Submit through computing hours provided by PRACE.WAM, HP, KMand KP were supported by the German FederalMinistry for Education and Research (BMBF) project MiKlip (grant 01LP1519A). NK, IB, FC and YW were supported by the Norwegian Research Council projects SFE (grant 270733) the Nordic Center of excellent ARCPATH (grant 76654) and the Trond Mohn Foundation, under the project number : BFS2018TMT01 and received grants for computer time from the Norwegian Program for supercomputing (NOTUR2, NN9039K) and storage grants (NORSTORE, NS9039K). JM, LFB and DS are supported by Blue-Action (European Union Horizon 2020 research and innovation program, Grant Number: 727852) and EUCP (European Union Horizon 2020 research and innovation programme under grant agreement no 776613) projects. The National Center for Atmospheric Research (NCAR) is a major facility sponsored by the US National Science Foundation (NSF) under Cooperative Agreement No. 1852977. NCAR contribution was partially supported by the National Oceanic and Atmospheric Administration (NOAA) Climate Program Office under Climate Variability and Predictability Program Grant NA13OAR4310138 and by the US NSF Collaborative Research EaSM2 Grant OCE-1243015.
Published: 2020

17. Characterization of Sunshine Duration in Western Equatorial Africa: In Situ Measurements versus SARAH-2 Satellite Estimates

Author: N. Philippon, A. Ouhechou, P. Camberlin, J. Trentmann, A. H. Fink, J. D. Maloba, B. Morel, G. Samba, Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Biogéosciences [UMR 6282] (BGS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Deutscher Wetterdienst [Offenbach] (DWD), Karlsruhe Institute of Technology (KIT), Lanaspet, Université Omar Bongo [Libreville, Gabon], Energy Lab (ENERGY Lab), Université de La Réunion (UR), Université de La Réunion - Faculté des Sciences et Technologies (FST), and ANR-19-CE01-0021,DYVALOCCA,Dynamique, variabilité et effets bioclimatiques des nuages bas sur la façade Atlantique de l'Afrique Centrale(2019)
Subjects: Atmospheric Science, [SDE.MCG]Environmental Sciences/Global Changes, [SDE]Environmental Sciences
Abstract: Western Equatorial Africa is one of the least sunny areas in the world. Yet, this has attracted little research so far. As in many other parts of Africa, light availability is mainly estimated using in situ measurements of sunshine duration (SDU). Therefore, this study conducts the first characterization of SDU evolution during the annual cycle for the region. It also evaluates the skill of satellite-based estimates of SDU from the Surface Solar Radiation Data Set–Heliosat, edition 2.1 (SARAH-2.1). Mean annual SDU levels are low: less than 5 h day−1 at the regional scale, with the sunniest stations in the northeast (Cameroon and Central African Republic) and the least sunny in an ∼150-km-wide coastal strip in Gabon and Republic of the Congo (RoC). For most of the stations except the southeast ones in the Democratic Republic of Congo, the lowest SDU levels are recorded in July–September, during the main dry season, with persistent overcast conditions. They are as low as 2.5 h day−1, especially on the windward slopes of the Massifs du Chaillu and du Mayombé, and of the Batéké Plateaus in Gabon and RoC. Although the mean annual and monthly spatial patterns are well reproduced in SARAH-2.1, SDU levels are systematically overestimated by 1–2 h day−1. The largest positive biases are recorded during the December–February dry season, especially at the northernmost stations. Analyses at the daily time scale show that SARAH-2.1 biases arise from a twofold problem: the number of dark days (SDU < 1 h day−1) is 50% lower than observed whereas that of sunny days (SDU > 9 h day−1) is 50% higher than observed.
Published: 2022

18. Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog

Author: Ian Boutle, Wayne Angevine, Jian-Wen Bao, Thierry Bergot, Ritthik Bhattacharya, Andreas Bott, Leo Ducongé, Richard Forbes, Tobias Goecke, Evelyn Grell, Adrian Hill, Adele L. Igel, Innocent Kudzotsa, Christine Lac, Bjorn Maronga, Sami Romakkaniemi, Juerg Schmidli, Johannes Schwenkel, Gert-Jan Steeneveld, Benoît Vié, Ilmatieteen laitos, Finnish Meteorological Institute, United Kingdom Met Office [Exeter], NOAA-CIRES Climate Diagnostics Center, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA)-University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), NOAA Physical Sciences Laboratory (PSL), National Oceanic and Atmospheric Administration (NOAA), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institute for Atmospheric and Environmental Sciences [Frankfurt/Main] (IAU), Goethe-University Frankfurt am Main, Universität Bonn = University of Bonn, European Centre for Medium-Range Weather Forecasts (ECMWF), Deutscher Wetterdienst [Offenbach] (DWD), Department of Land, Air and Water Resources, University of California [Davis] (UC Davis), University of California (UC)-University of California (UC), Finnish Meteorological Institute (FMI), Institute of Meteorology and Climatology [Hannover] (IMUK), Leibniz Universität Hannover=Leibniz University Hannover, and Wageningen University and Research [Wageningen] (WUR)
Subjects: Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften, Atmospheric Science, aerosol, QC1-999, cloud droplet, forecasting, column, cloud microphysics, [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology, experimental study, Atmospheric Sciences, modelling, Meteorology, ddc:550, computer simulation, Life Science, Meteorology & Atmospheric Sciences, QD1-999, Meteorologie, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], WIMEK, concentration (composition), Physics, large eddy simulation, Large-eddy simulations, simulation, Turbulence, fog, Chemistry, weather prediction, Convective clouds, numerical model, Astronomical and Space Sciences
Abstract: An intercomparison between 10 single-column (SCM) and 5 large-eddy simulation (LES) models is presented for a radiation fog case study inspired by the Local and Non-local Fog Experiment (LANFEX) field campaign. Seven of the SCMs represent single-column equivalents of operational numerical weather prediction (NWP) models, whilst three are research-grade SCMs designed for fog simulation, and the LESs are designed to reproduce in the best manner currently possible the underlying physical processes governing fog formation. The LES model results are of variable quality and do not provide a consistent baseline against which to compare the NWP models, particularly under high aerosol or cloud droplet number concentration (CDNC) conditions. The main SCM bias appears to be toward the overdevelopment of fog, i.e. fog which is too thick, although the inter-model variability is large. In reality there is a subtle balance between water lost to the surface and water condensed into fog, and the ability of a model to accurately simulate this process strongly determines the quality of its forecast. Some NWP SCMs do not represent fundamental components of this process (e.g. cloud droplet sedimentation) and therefore are naturally hampered in their ability to deliver accurate simulations. Finally, we show that modelled fog development is as sensitive to the shape of the cloud droplet size distribution, a rarely studied or modified part of the microphysical parameterisation, as it is to the underlying aerosol or CDNC.
Published: 2022

19. Impact of the COVID-19 economic downturn on tropospheric ozone trends: an uncertainty weighted data synthesis for quantifying regional anomalies above Western North America and Europe

Author: Kai‐Lan Chang, Owen R. Cooper, Audrey Gaudel, Marc Allaart, Gerard Ancellet, Hannah Clark, Sophie Godin‐Beekmann, Thierry Leblanc, Roeland Van Malderen, Philippe Nédélec, Irina Petropavlovskikh, Wolfgang Steinbrecht, René Stübi, David W. Tarasick, Carlos Torres, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), NOAA Chemical Sciences Laboratory (CSL), National Oceanic and Atmospheric Administration (NOAA), Royal Netherlands Meteorological Institute (KNMI), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), In-Service Aircraft for a Global Observing System (IAGOS-AISBL), STRATO - LATMOS, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Institut Royal Météorologique de Belgique [Bruxelles] - Royal Meteorological Institute (IRM), Laboratoire d'aérologie (LAERO), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Deutscher Wetterdienst [Offenbach] (DWD), Federal Office of Meteorology and Climatology MeteoSwiss, Environment and Climate Change Canada, Izaña Atmospheric Research Center (IARC), and Agencia Estatal de Meteorología (AEMet)
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Economic downturn, COVID-19, General Medicine, Anomalies, Tropospheric ozone trends
Abstract: International audience; This study quantifies the association between the COVID-19 economic downturn and 2020 tropospheric ozone anomalies above Europe and western North America, and their impact on long-term trends. Anomaly detection for an atmospheric time series is usually carried out by identifying potentially aberrant data points relative to climatological values. However, detecting ozone anomalies from sparsely sampled ozonesonde profiles (once per week at most sites) is challenging due to ozone's high temporal variability. We first demonstrate the challenges for summarizing regional trends based on independent time series from multiple nearby ozone profiling stations. We then propose a novel regional-scale anomaly detection framework based on generalized additive mixed models, which accounts for the sampling frequency and inherent data uncertainty associated with each vertical profile data set, measured by ozonesondes, lidar or commercial aircraft. This method produces a long-term monthly time series with high vertical resolution that reports ozone anomalies from the surface to the middle-stratosphere under a unified framework, which can be used to quantify the regional-scale ozone anomalies during the COVID-19 economic downturn. By incorporating extensive commercial aircraft data and frequently sampled ozonesonde profiles above Europe, we show that the complex interannual variability of ozone can be adequately captured by our modeling approach. The results show that free tropospheric ozone negative anomalies in 2020 are the most profound since the benchmark year of 1994 for both Europe and western North America, and positive trends over 1994–2019 are diminished in both regions by the 2020 anomalies.
Published: 2022

20. Bayesian parameterisation of a regional photovoltaic model – Application to forecasting

Author: Yves-Marie Saint-Drenan, Rafael Fritz, Roland Potthast, Jamie M. Bright, Sven Killinger, Stephan Vogt, Centre Observation, Impacts, Énergie (O.I.E.), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Fraunhofer Institute for Energy Economics and Energy System Technology (Fraunhofer IEE), Fraunhofer (Fraunhofer-Gesellschaft), Fraunhofer Institute for Solar Energy Systems (Fraunhofer ISE), Fenner School of Environment and Society, Australian National University (ANU), Department of Mathematics, University of Reading, University of Reading (UOR), Deutscher Wetterdienst [Offenbach] (DWD), and Publica
Subjects: Mathematical optimization, Mean squared error, Computer science, 020209 energy, regional PV power, forecast, Bayesian probability, Prognose, PV, 02 engineering and technology, 7. Clean energy, Netzintegration, [SPI]Engineering Sciences [physics], intelligentes Netz, Linear regression, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Leistungselektronik, Grid integration, Renewable Energy, Sustainability and the Environment, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Linear system, Photovoltaic system, Netze und Intelligente Systeme, PV system characteristics, Covariance, 021001 nanoscience & nanotechnology, Electricity generation, inverses Problem, inverse problem, Probability distribution, 0210 nano-technology
Abstract: International audience; Estimating and forecasting photovoltaic (PV) power generation in regions-e.g. the area controlled by the transmission system operator (TSO)-is a requirement for the operation of the electricity supply system. An accurate calculation of this quantity requires detailed information of the installed PV systems within the considered region; however, this information is not publicly available making forecasting difficult. Therefore, approximating the undefined PV systems information for use in a PV power model (parameterization) is of critical interest. In this paper, we propose a methodological approach for parameterization using time series of aggregated PV power generation. A Bayesian approach is used to overcome the significant number of unknown parameters in the problem. It regularizes the linear system by imposing constraints on deviations from an initial-guess and covariance matrices; the initial guess uses available statistical distributions of PV system metadata. The performance of the proposed forecasting approach is evaluated using estimates of the regional PV power generation from three TSOs and meteorological data from the IFS forecast model (ECMWF). The proposed forecasting approach without the Bayesian parameterization has RMSE of 3.90%, 4.25% and 4.64%, respectively; including the Bayesian approach gives RMSE of 3.82%, 4.23% and 4.51%. For comparison, we also deployed a multiple linear regression which gave RMSE of 3.89%, 4.12% and 4.54%; however, there are considerable downsides to such an approach. Our approach is competitive with TSO forecasting systems despite using far fewer input data and simpler implementation of NWP prediction. This is particularly promising as there are many avenues for future development.
Published: 2019

21. Intercomparison and characterization of 23 Aethalometers under laboratory and ambient air conditions: procedures and unit-to-unit variabilities

Author: A. Cuesta-Mosquera, G. Močnik, L. Drinovec, T. Müller, S. Pfeifer, M. C. Minguillón, B. Briel, P. Buckley, V. Dudoitis, J. Fernández-García, M. Fernández-Amado, J. Ferreira De Brito, V. Riffault, H. Flentje, E. Heffernan, N. Kalivitis, A.-C. Kalogridis, H. Keernik, L. Marmureanu, K. Luoma, A. Marinoni, M. Pikridas, G. Schauer, N. Serfozo, H. Servomaa, G. Titos, J. Yus-Díez, N. Zioła, A. Wiedensohler, Minguillón, María Cruz, Minguillón, María Cruz [0000-0002-5464-0391], Department of Experimental Aerosol and Cloud Microphysics, Leibniz Institute for Tropospheric Research (TROPOS), Jozef Stefan Institute [Ljubljana] (IJS), Haze Instruments d.o.o., University of Nova Gorica, Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Deutscher Wetterdienst [Offenbach] (DWD), University College Cork (UCC), Center for Physical Sciences and Technology [Vilnius] (FTMC), Centro de Investigaciones Energéticas Medioambientales y Tecnológicas [Madrid] (CIEMAT), Universidade da Coruña, Centre for Energy and Environment (CERI EE - IMT Nord Europe), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), University of Crete [Heraklion] (UOC), Environmental Radioactivity laboratory (ERL), Institute of Nuclear and Radiological Sciences and Technology, Energy and Safety (INRASTES), National Center for Scientific Research 'Demokritos' (NCSR)-National Center for Scientific Research 'Demokritos' (NCSR), Estonian Environmental Research Centre (EKUK), Tallinn University of Technology (TTÜ), National Institute of Research and Development for Optoelectronics (INOE), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, CNR Institute of Atmospheric Sciences and Climate (ISAC), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), The Cyprus Institute, Nicosia, Cyprus, Central Institute for Meteorology and Geodynamics [Vienna] (ZAMG), Global Change Research Centre (CzechGlobe), Finnish Meteorological Institute (FMI), Universidad de Granada = University of Granada (UGR), University of Barcelona, Department of Air Protection, Institute of Environmental Engineering of the Polish Academy of Sciences, Ministerio de Ciencia e Innovación (PTA2017-13607-I), Spanish Ministry of Science and Innovation (project nos. CGL2016-81092-R, CGL2017-42 90884REDT, and RTI2018.101154.A.I00), Juan de la Cierva-Incorporación postdoctoral program (grant no. IJCI-2016-29838), Regional Council 'Hauts-de-France', European Regional Development Fund (ERDF), COST Action CA16109 COLOSSAL, CPER CLIMIBIO, CRISOL (MINECO/AEI/FEDER, UE, grant no. CGL2017-85344-R), TIGAS-CM (grant no. Y2018/EMT-5177), ANR-11-LABX-0005,Cappa,Physiques et Chimie de l'Environnement Atmosphérique(2011), European Project: 654109,H2020,H2020-INFRAIA-2014-2015,ACTRIS-2(2015), Institute for Atmospheric and Earth System Research (INAR), Centre for Energy and Environment (CERI EE), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), University of Helsinki, Consiglio Nazionale delle Ricerche (CNR), Global Change Research Institute, Czech Academy of Sciences [Prague] (CAS), and University of Granada [Granada]
Subjects: Atmospheric Science, 010504 meteorology & atmospheric sciences, Meteorology, [SDE.MCG]Environmental Sciences/Global Changes, Environmental engineering, 010501 environmental sciences, medicine.disease_cause, Aethalometer, 01 natural sciences, ABSORPTION TECHNIQUE, 114 Physical sciences, law.invention, REAL-TIME MEASUREMENT, ATTENUATION, Earthwork. Foundations, law, 11. Sustainability, Calibration, medicine, Range (statistics), PARTICLES, Air quality index, Aerosolized black carbon, 0105 earth and related environmental sciences, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, 010401 analytical chemistry, TA715-787, Photometer, TA170-171, Soot, 0104 chemical sciences, Aerosol, Trace gas, [CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, Ambient air conditions, 13. Climate action, OPTICAL-ABSORPTION, BLACK CARBON
Abstract: Aerosolized black carbon is monitored worldwide to quantify its impact on air quality and climate. Given its importance, measurements of black carbon mass concentrations must be conducted with instruments operating in quality-checked and ensured conditions to generate data which are reliable and comparable temporally and geographically. In this study, we report the results from the largest characterization and intercomparison of filter-based absorption photometers, the Aethalometer model AE33, belonging to several European monitoring networks. Under controlled laboratory conditions, a total of 23 instruments measured mass concentrations of black carbon from three well-characterized aerosol sources: synthetic soot, nigrosin particles, and ambient air from the urban background of Leipzig, Germany. The objective was to investigate the individual performance of the instruments and their comparability; we analyzed the response of the instruments to the different aerosol sources and the impact caused by the use of obsolete filter materials and the application of maintenance activities. Differences in the instrument-to-instrument variabilities from equivalent black carbon (eBC) concentrations reported at 880 nm were determined before maintenance activities (for soot measurements, average deviation from total least square regression was −2.0 % and the range −16 % to 7 %; for nigrosin measurements, average deviation was 0.4 % and the range −15 % to 17 %), and after they were carried out (for soot measurements, average deviation was −1.0 % and the range −14 % to 8 %; for nigrosin measurements, the average deviation was 0.5 % and the range −12 % to 15 %). The deviations are in most of the cases explained by the type of filter material employed by the instruments, the total particle load on the filter, and the flow calibration. The results of this intercomparison activity show that relatively small unit-to-unit variability of AE33-based particle light absorbing measurements is possible with well-maintained instruments. It is crucial to follow the guidelines for maintenance activities and the use of the proper filter tape in the AE33 to ensure high quality and comparable black carbon (BC) measurements among international observational networks., ACTRIS and COLOSSAL provided financial support for the execution of the experiments. Instrument S04-00387 is operated and maintained thanks to the Spanish Ministry of Science and Innovation (project nos. CGL2016-81092-R, CGL2017-42 90884REDT, and RTI2018.101154.A.I00). Gloria Titos is funded by the Juan de la Cierva-Incorporación postdoctoral program (grant no. IJCI-2016-29838). IMT Lille Douai (Joel Ferreira De Brito, Veronique Riffault) received financial support from the Labex CaPPA project, which is funded by the French National Research Agency (ANR) through the PIA (Programme d'Investissement d'Avenir) (contract no. ANR-11-LABX-0005-01), and the CLIMIBIO project; both projects are financed by the Regional Council “Hauts-de-France” and the European Regional Development Fund (ERDF). The operation of instruments S00-00055 and S02-00156 is funded by the projects CRISOL (MINECO/AEI/FEDER, UE; grant no. CGL2017-85344-R) and TIGAS-CM (grant no. Y2018/EMT-5177).
Published: 2021

22. Using a global network of temperature lidars to identify temperature biases in the upper stratosphere in ECMWF reanalyses

Author: Andrew Charlton-Perez, Alain Hauchecorne, Wolfgang Steinbrecht, Inna Polichtchouk, Philippe Keckhut, Thierry Leblanc, Giles Harrison, Graeme Marlton, Robin Wing, Department of Meteorology [Reading], University of Reading (UOR), European Centre for Medium-Range Weather Forecasts (ECMWF), STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Deutscher Wetterdienst [Offenbach] (DWD), and California Institute of Technology (CALTECH)-NASA
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], COSMIC cancer database, 010504 meteorology & atmospheric sciences, Meteorology, 0211 other engineering and technologies, Northern Hemisphere, 02 engineering and technology, 01 natural sciences, Occultation, Microwave Limb Sounder, Depth sounding, Lidar, 13. Climate action, Environmental science, Ionosphere, Stratosphere, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences
Abstract: To advance our understanding of the stratosphere, high quality observational datasets of the upper atmosphere are needed. It is commonplace that reanalysis is used to conduct stratospheric studies. However the accuracy of the standard reanalysis at these heights is hard to infer due to a lack of in-situ measurements. Satellite measurements provide one source of temperature information. As some satellite information is already assimilated into reanalyses, the direct comparison of satellite temperatures to the reanalysis is not truly independent. Stratospheric lidars use Rayleigh scattering to measure density in the upper atmosphere, allowing temperature profiles to be derived for altitudes from 30 km (where Mie scattering due to stratospheric aerosols becomes negligible) to 80–90 km (where the signal-to-noise begins to drop rapidly). The Network for the Detection of Atmospheric Composition Change (NDACC) contains several lidars at different latitudes that have measured atmospheric temperatures since the 1970s, resulting in a long running upper-stratospheric temperature dataset. These temper1ature datasets are useful for validating reanalysis datasets in the stratosphere, as they are not assimilated into reanalyses. Here we take stratospheric temperature data from lidars in the northern hemisphere for winter months between 1990–2017 and compare them with the European Centre for ECMWF's ERA-interim and ERA-5 reanalyses. To give confidence in any bias found, temperature data from NASA's EOS Microwave Limb Sounder is also compared to ERA-interim and ERA-5 at points over the lidar sites. In ERA-interim a cold bias of −3 to −4 K between 10 hPa and 1 hPa is found when compared to both measurement 15 systems. Comparisons with ERA-5 found a small bias of magnitude 1 K which varies between cold and warm bias with height between 10 hPa and 3 hPa, indicating a good thermal representation of the upper atmosphere to 3 hPa. At heights above this, comparisons with EOS MLS yield a slight warm bias and the temperature lidar yield a cold bias. A further comparison is undertaken to see the effects of the assimilation of the Advanced Microwave Sounding Unit-A satellite data and the Constellation Observing System for Meteorology, Ionosphere, and Climate GPS Radio Occulation (COSMIC GPSRO) data on stratospheric temperatures. By comparing periods before and after the introduction of each data source it is clear that COSMIC GPSRO improves the cold bias in the 3 hPa to 0.5 hPa altitude range.
Published: 2021

23. IEA Wind Task 36 - International Collaboration on Forecast Improvements

Author: Giebel, Gregor, Shaw, Will, Frank, Helmut, Draxl, Caroline, Zack, John, Pinson, Pierre, Möhrlen, Corinna, Kariniotakis, Georges, Kariniotakis, George, Bessa, Ricardo, DTU Wind Energy, Pacific Northwest National Laboratory (PNNL), Deutscher Wetterdienst [Offenbach] (DWD), National Renewable Energy Laboratory (NREL), UL Renewables, DTU Management, WEPROG Aps, Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques (PERSEE), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institute for Systems and Computer Engineering, Technology and Science [Braga] (INESC TEC), European Geophysical Union (EGU), and IEA Wind TCP Task 36: Wind Energy Forecasting
Subjects: numerical weather predictions, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [STAT.AP]Statistics [stat]/Applications [stat.AP], wind power forecasting, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [SPI.NRJ]Engineering Sciences [physics]/Electric power, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], energy meteorology
Abstract: International audience; The International Energy Agency (IEA) Wind Task 36 on Wind Power Forecasting organises international collaboration, among national weather centres with an interest and/or large projects on wind forecast improvements (NOAA, DWD, ...), forecast vendors and forecast users to facilitate scientific exchange to be prepared for future challenges.The talk discusses the general setup of the Task, and the latest developments. Among those are decision making under uncertainty. To this aim, a series of forecasting experiments are being developed and one initial experiment was tested by a wide audience. The forecasting experiments took the form of a game, during which the participants could experience the benefit of probabilistic information on their decisions to trade.Other results include an information portal for meteorological data, and the IEA Recommended Practice for Forecast Solution Selection which is divided into 3 parts: (1) "Forecast Solution Selection Process", (2) "Designing and Executing Forecasting Benchmarks and Trials", and (3) "Evaluation of Forecasts and Forecast Solutions". The Recommended Practice guideline encourages forecast users to establish a framework of metrics that help identify, whether the user's forecast performance criteria effectively incentivize the forecast provider to optimize towards the forecast target variable that has the most value for the user's application(s). For this year, we intend to update the guideline in the light of the experiences throughout the industry in its initial application, and after collecting this experience at 3 Open Space workshops.Collaboration is open to IEA Wind member states; 12 countries are already actively collaborating.The Task is divided in three work packages: Work Package (WP) 1 is a collaboration on the improvement of the scientific basis for the wind predictions themselves. This includes numerical weather prediction (NWP) model physics, but also widely distributed information on accessible datasets. This WP also currently organises a benchmark for NWP models, based on the Wind Forecast Improvement Project 2 (WFIP2) datasets. WP2 deals with the power conversion from the wind speed forecasts and the associated vendor issues. Amongst other things, WP2 published the IEA Recommended Practice on how to select an optimal wind power forecast solution for a specific application. The focus of WP3 is on the engagement of end users to disseminate the best practice in the use of wind power predictions, especially probabilistic forecasts and also what kind of measurements are required in real-time environmentsA major activity of the Task is the organisation of workshops and special sessions at conferences, like this one. Previous workshops on e.g. forecasting on the minute scale including lidars, a workshop on the value of forecasts, or special sessions on the Wind Energy Science Conference, the Wind Integration Workshop, the ESIG Meteorology and Market Design for Grid Services workshops are still visible online from the IEAWindForecasting YouTube channel.
Published: 2021

24. Evaluation of the tropical water vapor of CMIP6 GCMs with ESA CCI+ 'Water Vapor' climate data records: Insights from large-scale atmospheric circulation

Author: Brogniez, Hélène, He, Jia, Picon, Laurence, Schroder, Marc, Preusker, René, Danne, Olaf, SPACE - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Deutscher Wetterdienst [Offenbach] (DWD), Freie Universität Berlin, and Brockmann Consult
Subjects: [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
Abstract: International audience; Water vapor is one of the fundamental elements in the atmosphere. Its distribution is strongly associated with large-scale atmospheric circulation. Here the new global water vapor climate data records (CDR) generated within the ESA Water Vapor CCI+ project (WV_cci) is used to perform a comprehensive evaluation of total column water vapor provided by 21 global climate models (CMIP6 framework). The ESA WV_cci CDRs cover the period 2002-2017 with a daily frequency and a regular 0.5° spatial resolution. The focus is on the tropical region (30°S - 30°N). The observational diagnostic relies on the decomposition of the tropical atmosphere into large-scale dynamical regimes using the 500 hPa atmospheric vertical velocity w500 (in hPa/day) as a proxy. The ESA WV_cci and the CMIP6 data are then sorted according to dynamical regimes (intervals of 10 hPa/day) allowing to study the evolution of the regimes in terms of frequency of occurrence and is linked to water vapor variation. While the basic picture of the tropical atmosphere is properly represented by the models (moister in ascending branches, drier in subsiding branches) there are noticeable differences in the patterns that will be discussed. The inter-annual variation of water vapor for both observation and the models will be analyzed, and the trend significance are assessed using Mann-Kendall test. This highlights the interest of water vapor climate data records for model evaluation.
Published: 2021

25. An algorithm to detect non-background signals in greenhouse gas time series from European tall tower and mountain stations

Author: Michal Heliasz, Michel Ramonet, Richard Engelen, Philippe Ciais, Martin Steinbacher, Jérôme Tarniewicz, L. Rivier, Dagmar Kubistin, Ivan Mammarella, Sébastien Conil, Meelis Mölder, Alex Resovsky, Jennifer Müller-Williams, Matthias Lindauer, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ICOS-RAMCES (ICOS-RAMCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ICOS-ATC (ICOS-ATC), Swiss Federal Laboratories for Materials Science and Technology [Dübendorf] (EMPA), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Lund University [Lund], Meteorologisches Observatorium Hohenpeißenberg (MOHp), Deutscher Wetterdienst [Offenbach] (DWD), European Centre for Medium-Range Weather Forecasts (ECMWF), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), University of Helsinki, Institute for Atmospheric and Earth System Research (INAR), Department of Physics, Micrometeorology and biogeochemical cycles, and Doctoral Programme in Atmospheric Sciences
Subjects: Atmospheric Science, 010504 meteorology & atmospheric sciences, Environmental engineering, Residual, Atmospheric sciences, 114 Physical sciences, 01 natural sciences, Carbon cycle, 03 medical and health sciences, Earthwork. Foundations, Seasonal adjustment, Physics::Atmospheric and Oceanic Physics, 030304 developmental biology, 0105 earth and related environmental sciences, Polynomial regression, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], TA715-787, 68–95–99.7 rule, Filter (signal processing), TA170-171, Annual cycle, NITROGEN, JUNGFRAUJOCH, 13. Climate action, Greenhouse gas, Environmental science
Abstract: We present a statistical framework to identify regional signals in station-based CO2 time series with minimal local influence. A curve-fitting function is first applied to the detrended time series to derive a harmonic describing the annual CO2 cycle. We then combine a polynomial fit to the data with a short-term residual filter to estimate the smoothed cycle and define a seasonally adjusted noise component, equal to 2 standard deviations of the smoothed cycle about the annual cycle. Spikes in the smoothed daily data which surpass this ±2σ threshold are classified as anomalies. Examining patterns of anomalous behavior across multiple sites allows us to quantify the impacts of synoptic-scale atmospheric transport events and better understand the regional carbon cycling implications of extreme seasonal occurrences such as droughts.
Published: 2021

26. Unprecedented Observations of a Nascent In Situ Cirrus in the Tropical Tropopause Layer

Author: Eric J. Jensen, Françoise Posny, Jerome Brioude, Jean-Marc Metzger, I. Reinares Martinez, Holger Vömel, Stephanie Evan, Susanne Körner, Frank G. Wienhold, Damien Héron, Bert Verreyken, Troy Thornberry, Laboratoire de l'Atmosphère et des Cyclones (LACy), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS), Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), National Center for Atmospheric Research [Boulder] (NCAR), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Lindenberg Meteorological Observatory - Richard Assmann Observatory (MOL-RAO), Deutscher Wetterdienst [Offenbach] (DWD), Observatoire des Sciences de l'Univers de La Réunion (OSU-Réunion), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR), ANR-17-CE01-0005,CONCIRTO,Influence de la convection et des cirrus sur la Haute-Troposphère/Basse-Stratosphère au dessus de l'Océan Indien(2017), Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Météo France, NASA Ames Research Center (ARC), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), Royal Belgian Institute for Space Aeronomy, Universiteit Gent = Ghent University [Belgium] (UGENT), and Université de La Réunion (UR)-Institut national des sciences de l'Univers (INSU - CNRS)
Subjects: 010504 meteorology & atmospheric sciences, Backscatter, cirrus, Atmospheric sciences, 01 natural sciences, 010309 optics, 0103 physical sciences, Gravity wave, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, [PHYS]Physics [physics], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Hygrometer, Ice crystals, modeling, Radius, Aerosol, gravity wave, Geophysics, COBALD observation, 13. Climate action, [SDU]Sciences of the Universe [physics], Earth and Environmental Sciences, [SDE]Environmental Sciences, General Earth and Planetary Sciences, Cirrus, Tropopause, Geology, tropical tropopause layer
Abstract: International audience; A nascent in situ cirrus was observed on January 11, 2019 in the tropical tropopause layer (TTL) over the southwestern Indian Ocean, with the use of balloon-borne instruments. Data from cryogenic frost point hygrometer (CFH) and Compact Optical Backscatter and AerosoL Detector (COBALD) instruments were used to characterize the cirrus and its environment. Optical modeling was employed to estimate the cirrus microphysical properties from the COBALD backscatter measurements. Newly fomed ice crystals with radius
Published: 2021

27. COVID‐19 Crisis Reduces Free Tropospheric Ozone Across the Northern Hemisphere

Author: Marc Allaart, Susan E. Strahan, Ryan M. Stauffer, Richard Querel, Anne M. Thompson, Nicholas B. Jones, Clare Paton-Walsh, Patrick Cullis, Tatsumi Nakano, Bryan J. Johnson, Gérard Ancellet, Thomas Blumenstock, Ankie Piters, Holger Deckelmann, Omaira García, Matthias Palm, Roeland Van Malderen, Kai-Lan Chang, Nis Jepsen, Antje Inness, M.B. Tully, Ralf Sussmann, Amelie N. Röhling, Gonzague Romanens, Dagmar Kubistin, Ana Diaz Rodriguez, Fernando Chouza, René Stübi, Owen R. Cooper, Emmanuel Mahieu, Kimberly Strong, Christian Plass-Dülmer, Jonathan Davies, Richard Engelen, Peter Oelsner, David W. Tarasick, Peter von der Gathen, Jose-Luis Hernandez, Michael Gill, Justus Notholt, Thierry Leblanc, Christian Servais, Irina Petropavlovskikh, Matthias Schneider, Norrie Lyall, Rigel Kivi, Carlos Torres, Shoma Yamanouchi, Sophie Godin-Beekmann, Bogumil Kois, James W. Hannigan, Wolfgang Steinbrecht, Andy Delcloo, Deutscher Wetterdienst [Offenbach] (DWD), Environment and Climate Change Canada, Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Danish Meteorological Institute (DMI), Finnish Meteorological Institute (FMI), Met Office Lerwick, Universität Bremen, Institute of Meteorology and Water Management - National Research Institute (IMGW - PIB), Royal Netherlands Meteorological Institute (KNMI), Irish Meteorological Service (MET ÉIREANN), Institut Royal Météorologique de Belgique [Bruxelles] (IRM), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Institut d'Astrophysique et de Géophysique [Liège], Université de Liège, Federal Office of Meteorology and Climatology MeteoSwiss, TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), STRATO - LATMOS, University of Toronto, ESRL Global Monitoring Laboratory [Boulder] (GML), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), National Center for Atmospheric Research [Boulder] (NCAR), Agencia Estatal de Meteorología (AEMet), Meteorological Research Institute [Tsukuba] (MRI), Japan Meteorological Agency (JMA), Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Institut für Meteorologie und Klimaforschung - Atmosphärische Spurengase und Fernerkundung (IMK-ASF), Australian Bureau of Meteorology [Melbourne] (BoM), Australian Government, University of Wollongong [Australia], National Institute of Water and Atmospheric Research [Lauder] (NIWA), GSFC Earth Sciences Division, NASA Goddard Space Flight Center (GSFC), Earth Science System Interdisciplinary Center [College Park] (ESSIC), College of Computer, Mathematical, and Natural Sciences [College Park], University of Maryland [College Park], University of Maryland System-University of Maryland System-University of Maryland [College Park], University of Maryland System-University of Maryland System, European Centre for Medium-Range Weather Forecasts (ECMWF), NOAA Chemical Sciences Laboratory (CSL), National Oceanic and Atmospheric Administration (NOAA), University of Wollongong, GFSC Earth Sciences Division, Kubistin, Dagmar, 1 Deutscher Wetterdienst Hohenpeißenberg Germany, Plass‐Dülmer, Christian, Davies, Jonathan, 2 Environment and Climate Change Canada Toronto ONT Canada, Tarasick, David W., Gathen, Peter von der, 3 Alfred Wegener Institut Helmholtz‐Zentrum für Polar‐ und Meeresforschung Potsdam Germany, Deckelmann, Holger, Jepsen, Nis, 4 Danish Meteorological Institute Copenhagen Denmark, Kivi, Rigel, 5 Finnish Meteorological Institute Sodankylä Finland, Lyall, Norrie, 6 British Meteorological Service Lerwick UK, Palm, Matthias, 7 University of Bremen Bremen Germany, Notholt, Justus, Kois, Bogumil, 8 Institute of Meteorology and Water Management Legionowo Poland, Oelsner, Peter, 9 Deutscher Wetterdienst Lindenberg Germany, Allaart, Marc, 10 Royal Netherlands Meteorological Institute DeBilt The Netherlands, Piters, Ankie, Gill, Michael, 11 Met Éireann (Irish Met. Service) Valentia Ireland, Van Malderen, Roeland, 12 Royal Meteorological Institute of Belgium Uccle Belgium, Delcloo, Andy W., Sussmann, Ralf, 13 Karlsruhe Institute of Technology IMK‐IFU Garmisch‐Partenkirchen Germany, Mahieu, Emmanuel, 14 Institute of Astrophysics and Geophysics University of Liège Liège Belgium, Servais, Christian, Romanens, Gonzague, 15 Federal Office of Meteorology and Climatology MeteoSwiss Payerne Switzerland, Stübi, Rene, Ancellet, Gerard, 16 LATMOS Sorbonne Université‐UVSQ‐CNRS/INSU Paris France, Godin‐Beekmann, Sophie, Yamanouchi, Shoma, 17 University of Toronto Toronto ONT Canada, Strong, Kimberly, Johnson, Bryan, 18 NOAA ESRL Global Monitoring Laboratory Boulder CO USA, Cullis, Patrick, Petropavlovskikh, Irina, Hannigan, James W., 20 National Center for Atmospheric Research Boulder CO USA, Hernandez, Jose‐Luis, 21 State Meteorological Agency (AEMET) Madrid Spain, Diaz Rodriguez, Ana, Nakano, Tatsumi, 22 Meteorological Research Institute Tsukuba Japan, Chouza, Fernando, 23 Jet Propulsion Laboratory California Institute of Technology Table Mountain Facility Wrightwood CA USA, Leblanc, Thierry, Torres, Carlos, 24 Izaña Atmospheric Research Center AEMET Tenerife Spain, Garcia, Omaira, Röhling, Amelie N., 25 Karlsruhe Institute of Technology IMK‐ASF Karlsruhe Germany, Schneider, Matthias, Blumenstock, Thomas, Tully, Matt, 26 Bureau of Meteorology Melbourne Australia, Paton‐Walsh, Clare, 27 Centre for Atmospheric Chemistry University of Wollongong Wollongong Australia, Jones, Nicholas, Querel, Richard, 28 National Institute of Water and Atmospheric Research Lauder New Zealand, Strahan, Susan, 29 NASA Goddard Space Flight Center Earth Sciences Division Greenbelt MD USA, Stauffer, Ryan M., Thompson, Anne M., Inness, Antje, 32 European Centre for Medium‐Range Weather Forecasts Reading UK, Engelen, Richard, Chang, Kai‐Lan, 19 Cooperative Institute for Research in Environmental Sciences (CIRES) University of Colorado Boulder CO USA, and Cooper, Owen R.
Subjects: Atmospheric Science, 010504 meteorology & atmospheric sciences, Pollution: Urban, Regional and Global, Atmospheric Composition and Structure, Biogeosciences, 010502 geochemistry & geophysics, Atmospheric sciences, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, 01 natural sciences, Biogeochemical Kinetics and Reaction Modeling, LIDAR, Troposphere, Oceanography: Biological and Chemical, chemistry.chemical_compound, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Emission reductions, ddc:550, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, VERTICAL-DISTRIBUTION, Marine Pollution, RECORD, NOX, 551.51, Biogeochemistry, Ozone depletion, Oceanography: General, Pollution: Urban and Regional, Geophysics, Free troposphere, Emissions, Troposphere: Composition and Chemistry, The COVID‐19 pandemic: linking health, society and environment, Cryosphere, Biogeochemical Cycles, Processes, and Modeling, Ozone, Megacities and Urban Environment, URBAN, Atmosphere, Paleoceanography, Altitude, COVID‐19, Research Letter, Global Change, Tropospheric ozone, Stratosphere, Urban Systems, 0105 earth and related environmental sciences, Aerosols, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], emissions, Northern Hemisphere, COVID-19, PROFILES, Aerosols and Particles, TRENDS, Earth sciences, ozone, Physics and Astronomy, troposphere, chemistry, 13. Climate action, General Earth and Planetary Sciences, Environmental science, Natural Hazards
Abstract: Throughout spring and summer 2020, ozone stations in the northern extratropics recorded unusually low ozone in the free troposphere. From April to August, and from 1 to 8 kilometers altitude, ozone was on average 7% (≈4 nmol/mol) below the 2000–2020 climatological mean. Such low ozone, over several months, and at so many stations, has not been observed in any previous year since at least 2000. Atmospheric composition analyses from the Copernicus Atmosphere Monitoring Service and simulations from the NASA GMI model indicate that the large 2020 springtime ozone depletion in the Arctic stratosphere contributed less than one‐quarter of the observed tropospheric anomaly. The observed anomaly is consistent with recent chemistry‐climate model simulations, which assume emissions reductions similar to those caused by the COVID‐19 crisis. COVID‐19 related emissions reductions appear to be the major cause for the observed reduced free tropospheric ozone in 2020., Plain Language Summary: Worldwide actions to contain the COVID‐19 virus have closed factories, grounded airplanes, and have generally reduced travel and transportation. Less fuel was burnt, and less exhaust was emitted into the atmosphere. Due to these measures, the concentration of nitrogen oxides and volatile organic compounds (VOCs) decreased in the atmosphere. These substances are important for photochemical production and destruction of ozone in the atmosphere. In clean or mildly polluted air, reducing nitrogen oxides and/or VOCs will reduce the photochemical production of ozone and result in less ozone. In heavily polluted air, in contrast, reducing nitrogen oxides can increase ozone concentrations, because less nitrogen oxide is available to destroy ozone. In this study, we use data from three types of ozone instruments, but mostly from ozonesondes on weather balloons. The sondes fly from the ground up to 30 kilometers altitude. In the first 8 km, we find significantly reduced ozone concentrations in the northern extratropics during spring and summer of 2020, less than in any other year since at least 2000. We suggest that reduced emissions due to the COVID‐19 crisis have lowered photochemical ozone production and have caused the observed ozone reductions in the troposphere., Key Points: In spring and summer 2020, stations in the northern extratropics report on average 7% (4 nmol/mol) less tropospheric ozone than normal Such low tropospheric ozone, over several months, and at so many sites, has not been observed in any previous year since at least 2000 Most of the reduction in tropospheric ozone in 2020 is likely due to emissions reductions related to the COVID‐19 pandemic, NASA | Earth Sciences Division (NASA Earth Science Division) http://dx.doi.org/10.13039/100014573, Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (NSERC) http://dx.doi.org/10.13039/501100000038, Australian Research Council, Fonds De La Recherche Scientifique ‐ FNRS (FNRS) http://dx.doi.org/10.13039/501100002661, Deutsche Forschungsgemeinschaft (DFG) http://dx.doi.org/10.13039/501100001659, Bundesministerium für Wirtschaft und Energie (BMWi) http://dx.doi.org/10.13039/501100006360
Published: 2021

28. Ship- and island-based atmospheric soundings from the 2020 EUREC4A field campaign

Author: Stephan, Claudia Christine, Schnitt, Sabrina, Schulz, Hauke, Bellenger, Hugo, de Szoeke, Simon P., Acquistapace, Claudia, Baier, Katharina, Dauhut, Thibaut, Laxenaire, Rémi, Morfa-Avalos, Yanmichel, Person, Renaud, Quiñones Meléndez, Estefanía, Bagheri, Gholamhossein, Böck, Tobias, Daley, Alton, Güttler, Johannes, Helfer, Kevin C., Los, Sebastian A., Neuberger, Almuth, Röttenbacher, Johannes, Raeke, Andreas, Ringel, Maximilian, Ritschel, Markus, Sadoulet, Pauline, Schirmacher, Imke, Stolla, M. Katharina, Wright, Ethan, Charpentier, Benjamin, Doerenbecher, Alexis, Wilson, Richard, Jansen, Friedhelm, Kinne, Stefan, Reverdin, Gilles, Speich, Sabrina, Bony, Sandrine, Stevens, Bjorn, Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Institut für Geophysik und Meteorologie [Köln], Universität zu Köln, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), College of Earth, Ocean and Atmospheric Sciences [Corvallis] (CEOAS), Oregon State University (OSU), Center for Ocean-Atmospheric Prediction Studies (COAPS), Florida State University [Tallahassee] (FSU), Nucleus for European Modeling of the Ocean (NEMO R&D ), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPN), Max Planck Institute for Dynamics and Self-Organization (MPIDS), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Caribbean Institute for Meteorology and Hydrology (CIMH), Max-Planck-Institut für Dynamik und Selbstorganisation (MPIDS), Department of Geoscience and Remote Sensing [Delft], Delft University of Technology (TU Delft), Department of Earth and Planetary Sciences [Albuquerque] (EPS), The University of New Mexico [Albuquerque], Leipziger Institut für Meteorologie (LIM), Universität Leipzig [Leipzig], Deutscher Wetterdienst [Offenbach] (DWD), Météo France, University of Hamburg, MeteoModem, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Processus et interactions de fine échelle océanique (PROTEO), INSU-CNRS program LEFE, Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU), Centre National de la Recherche Scientifique (CNRS)-Météo France, Universität zu Köln = University of Cologne, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Universität Leipzig, Météo-France Direction Interrégionale Sud-Est (DIRSE), Météo-France, Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Météo France-Centre National de la Recherche Scientifique (CNRS)
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
Abstract: To advance the understanding of the interplay among clouds, convection, and circulation, and its role in climate change, the Elucidating the role of clouds–circulation coupling in climate campaign (EUREC4A) and Atlantic Tradewind Ocean–Atmosphere Mesoscale Interaction Campaign (ATOMIC) collected measurements in the western tropical Atlantic during January and February 2020. Upper-air radiosondes were launched regularly (usually 4-hourly) from a network consisting of the Barbados Cloud Observatory (BCO) and four ships within 6–16∘ N, 51–60∘ W. From 8 January to 19 February, a total of 811 radiosondes measured wind, temperature, and relative humidity. In addition to the ascent, the descent was recorded for 82 % of the soundings. The soundings sampled changes in atmospheric pressure, winds, lifting condensation level, boundary layer depth, and vertical distribution of moisture associated with different ocean surface conditions, synoptic variability, and mesoscale convective organization. Raw (Level 0), quality-controlled 1 s (Level 1), and vertically gridded (Level 2) data in NetCDF format (Stephan et al., 2020) are available to the public at AERIS (https://doi.org/10.25326/137). The methods of data collection and post-processing for the radiosonde data set are described here.
Published: 2021

29. Subtle influence of the Atlantic Meridional Overturning Circulation (AMOC) on seasonal sea surface temperature (SST) hindcast skill in the North Atlantic

Author: J. Carvalho-Oliveira, L. F. Borchert, A. Duchez, M. Dobrynin, J. Baehr, University of Southampton, Helmholtz-Zentrum Geesthacht (GKSS), Océan et variabilité du climat (VARCLIM), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Center for Earth System Research and Sustainability (CEN), Universität Hamburg (UHH), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), ESAIP, National Oceanography Centre [Southampton] (NOC), Deutscher Wetterdienst [Offenbach] (DWD), ANR-20-ERC9-0001,HARMONY,HARMONY : Exploiter la puissance des nouveaux modèles climatiques pour la société(2020), and European Project: 776613,Fighting and adapting to climate change,H2020-EU.3.5.1,EUCP(2017)
Subjects: Atmospheric Science, Sea surface temperature, [SDU]Sciences of the Universe [physics], [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Meteorology. Climatology, Climatology, Meridional overturning, Environmental science, Forecast skill, Hindcast, QC851-999, Prediction system, Mixed resolution
Abstract: We investigate the impact of the strength of the Atlantic Meridional Overturning Circulation (AMOC) at 26∘ N on the prediction of North Atlantic sea surface temperature anomalies (SSTAs) a season ahead. We test the dependence of sea surface temperate (SST) predictive skill in initialised hindcasts on the phase of the AMOC at 26∘N, invoking a seesaw mechanism driven by AMOC fluctuations, with positive SSTAs north of 26∘ N and negative SSTAs south of 26∘ N after a strong AMOC and vice versa. We use initialised simulations with the MPI-ESM-MR (where MR is mixed resolution) seasonal prediction system. First, we use an assimilation experiment between 1979–2014 to confirm that the AMOC leads a SSTA dipole pattern in the tropical and subtropical North Atlantic, with the strongest AMOC fingerprints after 2–4 months. Going beyond previous studies, we find that the AMOC fingerprint has a seasonal dependence and is sensitive to the length of the observational window used, i.e. stronger over the last decade than for the entire time series back to 1979. We then use a set of ensemble hindcast simulations with 30 members, starting each February, May, August and November between 1982 and 2014. We compare the changes in skill between composites based on the AMOC phase a month prior to each start date to simulations without considering the AMOC phase and find subtle influence of the AMOC mechanism on seasonal SST prediction skill. We find higher subtropical SST hindcast skill at a 2–4-month lead time for June–July–August (JJA) SSTA composites based on the AMOC phase at May start dates than for the full time period. In other regions and seasons, we find a negligible impact of the AMOC seesaw mechanism on seasonal SST predictions due to atmospheric influence, calling for caution when considering such a mechanism. Our method shows that, for May start dates following strong AMOC phases, summer SST hindcast skill over the subtropics increases significantly compared to that of weak AMOC phases. This suggests that in the assessment of SST skill for a season ahead an eye should be kept on the initial AMOC state.
Published: 2021

30. Modeling gas exchange and biomass production in West African Sahelian and Sudanian ecological zones

Author: Rahimi, Jaber, Ago, Expedit Evariste, Ayantunde, Augustine, Berger, Sina, Bogaert, Jan, Butterbach-Bahl, Klaus, Cappelaere, Bernard, Cohard, Jean-Martial, Demarty, Jérôme, Diouf, Abdoul Aziz, Falk, Ulrike, Haas, Edwin, Hiernaux, Pierre, Kraus, David, Roupsard, Olivier, Scheer, Clemens, Srivastava, Amit Kumar, Tagesson, Torbern, Grote, Rüdiger, Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Université d’Abomey-Calavi = University of Abomey Calavi (UAC), Gembloux Agro-Bio Tech [Gembloux], Université de Liège, International Livestock Research Institute [CGIAR, Nairobi] (ILRI), International Livestock Research Institute [CGIAR, Ethiopie] (ILRI), Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), University of Augsburg (UNIA), Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Centre de Suivi Ecologique [Dakar] (CSE), Deutscher Wetterdienst [Offenbach] (DWD), Géosciences Environnement Toulouse (GET), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Pastoralisme Conseil (PastoC), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Universität Bonn = University of Bonn, University of Copenhagen = Københavns Universitet (UCPH), Lund University [Lund], UP-SCALERS project (grant no. AURG II-1-074-2016), which is part of the African Union Research Grant program financed through the agreement between the European Commission and the African Union Commission (grant no. DCI-PANAF/2015/307-078)., Université d’Abomey-Calavi (UAC), University of Augsburg [Augsburg], Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Recherche pour le Développement (IRD)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Bonn, and University of Copenhagen = Københavns Universitet (KU)
Subjects: [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Earth sciences, Sahel, West Africa, ddc:550, modeling, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, agroforestry, ddc:910
Abstract: West African Sahelian and Sudanian ecosystems provide essential services to people and also play a significant role within the global carbon cycle. However, climate and land use are dynamically changing, and uncertainty remains with respect to how these changes will affect the potential of these regions to provide food and fodder resources or how they will affect the biosphere–atmosphere exchange of CO2. In this study, we investigate the capacity of a process-based biogeochemical model, LandscapeDNDC, to simulate net ecosystem exchange (NEE) and aboveground biomass of typical managed and natural Sahelian and Sudanian savanna ecosystems. In order to improve the simulation of phenology, we introduced soil-water availability as a common driver of foliage development and productivity for all of these systems. The new approach was tested by using a sample of sites (calibration sites) that provided NEE from flux tower observations as well as leaf area index data from satellite images (MODIS, MODerate resolution Imaging Spectroradiometer). For assessing the simulation accuracy, we applied the calibrated model to 42 additional sites (validation sites) across West Africa for which measured aboveground biomass data were available. The model showed good performance regarding biomass of crops, grass, or trees, yielding correlation coefficients of 0.82, 0.94, and 0.77 and root-mean-square errors of 0.15, 0.22, and 0.12 kg m−2, respectively. The simulations indicate aboveground carbon stocks of up to 0.17, 0.33, and 0.54 kg C ha−1 m−2 for agricultural, savanna grasslands, and savanna mixed tree–grassland sites, respectively. Carbon stocks and exchange rates were particularly correlated with the abundance of trees, and grass biomass and crop yields were higher under more humid climatic conditions. Our study shows the capability of LandscapeDNDC to accurately simulate carbon balances in natural and agricultural ecosystems in semiarid West Africa under a wide range of conditions; thus, the model could be used to assess the impact of land-use and climate change on the regional biomass productivity.
Published: 2021

31. Evaluation and optimization of ICOS atmosphere station data as part of the labeling process

Author: Yver-Kwok, Camille, Philippon, Carole, Bergamaschi, Peter, Biermann, Tobias, Calzolari, Francescopiero, Chen, Huilin, Conil, Sebastien, Cristofanelli, Paolo, Delmotte, Marc, Hatakka, Juha, Heliasz, Michal, Hermansen, Ove, Kominkova, Katerina, Kubistin, Dagmar, Kumps, Nicolas, Laurent, Olivier, Laurila, Tuomas, Lehner, Irene, Levula, Janne, Lindauer, Matthias, Lopez, Morgan, Mammarella, Ivan, Manca, Giovanni, Marklund, Per, Metzger, Jean Marc, Mölder, Meelis, Platt, Stephen M., Ramonet, Michel, Rivier, Leonard, Scheeren, Bert, Kumar Sha, Mahesh, Smith, Paul, Steinbacher, Martin, Vítková, Gabriela, Wyss, Simon, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ICOS-ATC (ICOS-ATC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), European Commission - Joint Research Centre [Ispra] (JRC), Centre for Environmental and Climate Research [Lund] (CEC), Lund University [Lund], CNR Institute of Atmospheric Sciences and Climate (ISAC), Consiglio Nazionale delle Ricerche (CNR), Centre for Isotope Research [Groningen] (CIO), University of Groningen [Groningen], ICOS-RAMCES (ICOS-RAMCES), Finnish Meteorological Institute (FMI), Norwegian Institute for Air Research (NILU), Global Change Research Institute of the Czech Academy of Sciences (GCRI), Meteorologisches Observatorium Hohenpeißenberg (MOHp), Deutscher Wetterdienst [Offenbach] (DWD), Royal Belgian Institute for Space Aeronomy, Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Swedish University of Agricultural Sciences (SLU), Observatoire des Sciences de l'Univers de La Réunion (OSU-Réunion), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR), Department of Physical Geography and Ecosystem Science [Lund], Swiss Federal Insitute of Aquatic Science and Technology [Dübendorf] (EAWAG), This research has been supported by fundingfrom ICOS Finland (grant no. 281255). This work was supportedby the Ministry of Education, Youth and Sports of CR withinthe CzeCOS program (grant no. LM201812). ICOS Switzerland isfunded by the Swiss National Science Foundation (Phase I (2013–2017): 20FI21_148992, Phase II (2017–2021): 20FI20_173691) and in-house contributions. ICOS Netherlands is substantially supported by the Dutch Research Council (NWO) through the Ruisdael large-scale infrastructure project. ICOS labeling activities atCMN were started under the Project of National Interest NEXDATAwhich is funded by the Italian Ministry for Education, Universityand Research (MIUR). In Belgium, it has been financially supportedsince 2014 by the EU project ICOS-Inwire and the ministerial decree for ICOS (FR/35/IC1 to FR/35/C5)., Ecosystem processes (INAR Forest Sciences), INAR Physics, Micrometeorology and biogeochemical cycles, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Global Change Research Centre (CzechGlobe), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, and Isotope Research
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, lcsh:TA715-787, Meteorology and Atmospheric Sciences, lcsh:Earthwork. Foundations, lcsh:TA170-171, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, 114 Physical sciences, ComputingMilieux_MISCELLANEOUS, lcsh:Environmental engineering
Abstract: The Integrated Carbon Observation System (ICOS) is a pan-European research infrastructure which provides harmonized and high-precision scientific data on the carbon cycle and the greenhouse gas budget. All stations have to undergo a rigorous assessment before being labeled, i.e., receiving approval to join the network. In this paper, we present the labeling process for the ICOS atmosphere network through the 23 stations that were labeled between November 2017 and November 2019. We describe the labeling steps, as well as the quality controls, used to verify that the ICOS data (CO2, CH4, CO and meteorological measurements) attain the expected quality level defined within ICOS. To ensure the quality of the greenhouse gas data, three to four calibration gases and two target gases are measured: one target two to three times a day, the other gases twice a month. The data are verified on a weekly basis, and tests on the station sampling lines are performed twice a year. From these high-quality data, we conclude that regular calibrations of the CO2, CH4 and CO analyzers used here (twice a month) are important in particular for carbon monoxide (CO) due to the analyzer's variability and that reducing the number of calibration injections (from four to three) in a calibration sequence is possible, saving gas and extending the calibration gas lifespan. We also show that currently, the on-site water vapor correction test does not deliver quantitative results possibly due to environmental factors. Thus the use of a drying system is strongly recommended. Finally, the mandatory regular intake line tests are shown to be useful in detecting artifacts and leaks, as shown here via three different examples at the stations. .
Published: 2021

32. EUREC4A

Author: B. Stevens, S. Bony, D. Farrell, F. Ament, A. Blyth, C. Fairall, J. Karstensen, P. K. Quinn, S. Speich, C. Acquistapace, F. Aemisegger, A. L. Albright, H. Bellenger, E. Bodenschatz, K.-A. Caesar, R. Chewitt-Lucas, G. de Boer, J. Delanoë, L. Denby, F. Ewald, B. Fildier, M. Forde, G. George, S. Gross, M. Hagen, A. Hausold, K. J. Heywood, L. Hirsch, M. Jacob, F. Jansen, S. Kinne, D. Klocke, T. Kölling, H. Konow, M. Lothon, W. Mohr, A. K. Naumann, L. Nuijens, L. Olivier, R. Pincus, M. Pöhlker, G. Reverdin, G. Roberts, S. Schnitt, H. Schulz, A. P. Siebesma, C. C. Stephan, P. Sullivan, L. Touzé-Peiffer, J. Vial, R. Vogel, P. Zuidema, N. Alexander, L. Alves, S. Arixi, H. Asmath, G. Bagheri, K. Baier, A. Bailey, D. Baranowski, A. Baron, S. Barrau, P. A. Barrett, F. Batier, A. Behrendt, A. Bendinger, F. Beucher, S. Bigorre, E. Blades, P. Blossey, O. Bock, S. Böing, P. Bosser, D. Bourras, P. Bouruet-Aubertot, K. Bower, P. Branellec, H. Branger, M. Brennek, A. Brewer, P.-E. Brilouet, B. Brügmann, S. A. Buehler, E. Burke, R. Burton, R. Calmer, J.-C. Canonici, X. Carton, G. Cato Jr., J. A. Charles, P. Chazette, Y. Chen, M. T. Chilinski, T. Choularton, P. Chuang, S. Clarke, H. Coe, C. Cornet, P. Coutris, F. Couvreux, S. Crewell, T. Cronin, Z. Cui, Y. Cuypers, A. Daley, G. M. Damerell, T. Dauhut, H. Deneke, J.-P. Desbios, S. Dörner, S. Donner, V. Douet, K. Drushka, M. Dütsch, A. Ehrlich, K. Emanuel, A. Emmanouilidis, J.-C. Etienne, S. Etienne-Leblanc, G. Faure, G. Feingold, L. Ferrero, A. Fix, C. Flamant, P. J. Flatau, G. R. Foltz, L. Forster, I. Furtuna, A. Gadian, J. Galewsky, M. Gallagher, P. Gallimore, C. Gaston, C. Gentemann, N. Geyskens, A. Giez, J. Gollop, I. Gouirand, C. Gourbeyre, D. de Graaf, G. E. de Groot, R. Grosz, J. Güttler, M. Gutleben, K. Hall, G. Harris, K. C. Helfer, D. Henze, C. Herbert, B. Holanda, A. Ibanez-Landeta, J. Intrieri, S. Iyer, F. Julien, H. Kalesse, J. Kazil, A. Kellman, A. T. Kidane, U. Kirchner, M. Klingebiel, M. Körner, L. A. Kremper, J. Kretzschmar, O. Krüger, W. Kumala, A. Kurz, P. L'Hégaret, M. Labaste, T. Lachlan-Cope, A. Laing, P. Landschützer, T. Lang, D. Lange, I. Lange, C. Laplace, G. Lavik, R. Laxenaire, C. Le Bihan, M. Leandro, N. Lefevre, M. Lena, D. Lenschow, Q. Li, G. Lloyd, S. Los, N. Losi, O. Lovell, C. Luneau, P. Makuch, S. Malinowski, G. Manta, E. Marinou, N. Marsden, S. Masson, N. Maury, B. Mayer, M. Mayers-Als, C. Mazel, W. McGeary, J. C. McWilliams, M. Mech, M. Mehlmann, A. N. Meroni, T. Mieslinger, A. Minikin, P. Minnett, G. Möller, Y. Morfa Avalos, C. Muller, I. Musat, A. Napoli, A. Neuberger, C. Noisel, D. Noone, F. Nordsiek, J. L. Nowak, L. Oswald, D. J. Parker, C. Peck, R. Person, M. Philippi, A. Plueddemann, C. Pöhlker, V. Pörtge, U. Pöschl, L. Pologne, M. Posyniak, M. Prange, E. Quiñones Meléndez, J. Radtke, K. Ramage, J. Reimann, L. Renault, K. Reus, A. Reyes, J. Ribbe, M. Ringel, M. Ritschel, C. B. Rocha, N. Rochetin, J. Röttenbacher, C. Rollo, H. Royer, P. Sadoulet, L. Saffin, S. Sandiford, I. Sandu, M. Schäfer, V. Schemann, I. Schirmacher, O. Schlenczek, J. Schmidt, M. Schröder, A. Schwarzenboeck, A. Sealy, C. J. Senff, I. Serikov, S. Shohan, E. Siddle, A. Smirnov, F. Späth, B. Spooner, M. K. Stolla, W. Szkółka, S. P. de Szoeke, S. Tarot, E. Tetoni, E. Thompson, J. Thomson, L. Tomassini, J. Totems, A. A. Ubele, L. Villiger, J. von Arx, T. Wagner, A. Walther, B. Webber, M. Wendisch, S. Whitehall, A. Wiltshire, A. A. Wing, M. Wirth, J. Wiskandt, K. Wolf, L. Worbes, E. Wright, V. Wulfmeyer, S. Young, C. Zhang, D. Zhang, F. Ziemen, T. Zinner, M. Zöger, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Caribbean Institute for Meteorology and Hydrology (CIMH), Meteorological Institute [Hamburg], University of Hamburg, National Centre for Atmospheric Science [Leeds] (NCAS), Natural Environment Research Council (NERC), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), Institute for Geophysics and Meteorology [Köln] (IGM), University of Cologne, Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Max Planck Institute for Dynamics and Self-Organization (MPIDS), NOAA Physical Sciences Laboratory (PSL), SPACE - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Leeds, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Deutscher Wetterdienst [Offenbach] (DWD), Ludwig-Maximilians-Universität München (LMU), Laboratoire d'aérologie (LAERO), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Universität Hamburg (UHH), Max Planck Institute for Marine Microbiology, Delft University of Technology (TU Delft), Processus et interactions de fine échelle océanique (PROTEO), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), Max-Planck-Institut für Chemie (MPIC), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Scripps Institution of Oceanography (SIO - UC San Diego), University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC), Universität zu Köln = University of Cologne, National Center for Atmospheric Research [Boulder] (NCAR), Hydrometeorological Service [Georgetown], Ministry of Agriculture [Guyana], Institute of Marine Affairs (IMA), Institute of Geophysics [Warsaw], Polska Akademia Nauk = Polish Academy of Sciences (PAN), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), United Kingdom Met Office [Exeter], Institute of Physics and Meteorology [Stuttgart] (IPM), University of Hohenheim, Woods Hole Oceanographic Institution (WHOI), Queen Elizabeth Hospital [Bridgetown, St. Michael, Barbados] (QEH), Department of Atmospheric Sciences [Seattle], University of Washington [Seattle], École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel, Institut de Physique du Globe de Paris (IPGP (UMR_7154)), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Equipe Marine Mapping & Metrology (Lab-STICC_M3), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), University of Manchester [Manchester], Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), University of Warsaw (UW), NOAA Chemical Sciences Laboratory (CSL), Max-Planck-Institut für Meteorologie (MPI-M), St. Christopher Air and Sea Port (SCASPA), Service des Avions Français Instrumentés pour la Recherche en Environnement (SAFIRE), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France, Laboratoire d'Océanographie Physique et Spatiale (LOPS), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Saint Vincent and the Grenadines Meteorological Services, Grenada Meteorological Services, Chimie Atmosphérique Expérimentale (CAE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), University of California [Santa Cruz] (UC Santa Cruz), University of California (UC), Cayman Islands National Weather Service, Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Météorologie Physique (LaMP), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Massachusetts Institute of Technology (MIT), Centre for Ocean and Atmospheric Sciences [Norwich] (COAS), School of Environmental Sciences [Norwich], University of East Anglia [Norwich] (UEA)-University of East Anglia [Norwich] (UEA), College of Earth, Ocean and Atmospheric Sciences [Corvallis] (CEOAS), Oregon State University (OSU), Leibniz Institute for Tropospheric Research (TROPOS), Department of Meteorology and Geophysics [Vienna], Universität Wien, Leipziger Institut für Meteorologie (LIM), Universität Leipzig, Meteorological Department (St. Maarten), Università degli Studi di Milano-Bicocca = University of Milano-Bicocca (UNIMIB), TROPO - LATMOS, NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Department of Earth and Planetary Sciences [Albuquerque] (EPS), The University of New Mexico [Albuquerque], University of Miami [Coral Gables], Farallon Institute, Division technique INSU/SDU (DTI), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Deutsches Zentrum für Luft- und Raumfahrt [Oberpfaffenhofen-Wessling] (DLR), Regional Security System [Barbados], Max Planck Institute for Chemistry (MPIC), Applied Physics Laboratory [Seattle] (APL-UW), Barbados Coast Guard, Développement Instrumental et Techniques Marines (DITM), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Austral, Boréal et Carbone (ABC), Institut Pythéas (OSU PYTHEAS), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Nucleus for European Modeling of the Ocean (NEMO R&D ), Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), European Project: 694768,EUREC4A, European Project: 820829,CONSTRAIN H2020, European Project: 741120,COMPASS, European Project: 817578,TRIATLAS(2019), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Laboratoire d'aérologie (LA), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Scripps Institution of Oceanography (SIO), University of California-University of California, Universität zu Köln, Queen Elizabeth Hospital [Bridgetown, St. Michael, Barbados], Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM), Centre National de la Recherche Scientifique (CNRS)-Météo France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), University of California [Santa Cruz] (UCSC), University of California, Universität Leipzig [Leipzig], Università degli Studi di Milano-Bicocca [Milano] (UNIMIB), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Stevens, B, Bony, S, Farrell, D, Ament, F, Blyth, A, Fairall, C, Karstensen, J, Quinn, P, Speich, S, Acquistapace, C, Aemisegger, F, Albright, A, Bellenger, H, Bodenschatz, E, Caesar, K, Chewitt-Lucas, R, De Boer, G, Delanoe, J, Denby, L, Ewald, F, Fildier, B, Forde, M, George, G, Gross, S, Hagen, M, Hausold, A, Heywood, K, Hirsch, L, Jacob, M, Jansen, F, Kinne, S, Klocke, D, Kolling, T, Konow, H, Lothon, M, Mohr, W, Naumann, A, Nuijens, L, Olivier, L, Pincus, R, Pohlker, M, Reverdin, G, Roberts, G, Schnitt, S, Schulz, H, Pier Siebesma, A, Stephan, C, Sullivan, P, Touze-Peiffer, L, Vial, J, Vogel, R, Zuidema, P, Alexander, N, Alves, L, Arixi, S, Asmath, H, Bagheri, G, Baier, K, Bailey, A, Baranowski, D, Baron, A, Barrau, S, Barrett, P, Batier, F, Behrendt, A, Bendinger, A, Beucher, F, Bigorre, S, Blades, E, Blossey, P, Bock, O, Boing, S, Bosser, P, Bourras, D, Bouruet-Aubertot, P, Bower, K, Branellec, P, Branger, H, Brennek, M, Brewer, A, Brilouet, P, Brugmann, B, Buehler, S, Burke, E, Burton, R, Calmer, R, Canonici, J, Carton, X, Cato, G, Charles, J, Chazette, P, Chen, Y, Chilinski, M, Choularton, T, Chuang, P, Clarke, S, Coe, H, Cornet, C, Coutris, P, Couvreux, F, Crewell, S, Cronin, T, Cui, Z, Cuypers, Y, Daley, A, Damerell, G, Dauhut, T, Deneke, H, Desbios, J, Dorner, S, Donner, S, Douet, V, Drushka, K, Dutsch, M, Ehrlich, A, Emanuel, K, Emmanouilidis, A, Etienne, J, Etienne-Leblanc, S, Faure, G, Feingold, G, Ferrero, L, Fix, A, Flamant, C, Flatau, P, Foltz, G, Forster, L, Furtuna, I, Gadian, A, Galewsky, J, Gallagher, M, Gallimore, P, Gaston, C, Gentemann, C, Geyskens, N, Giez, A, Gollop, J, Gouirand, I, Gourbeyre, C, De Graaf, D, De Groot, G, Grosz, R, Guttler, J, Gutleben, M, Hall, K, Harris, G, Helfer, K, Henze, D, Herbert, C, Holanda, B, Ibanez-Landeta, A, Intrieri, J, Iyer, S, Julien, F, Kalesse, H, Kazil, J, Kellman, A, Kidane, A, Kirchner, U, Klingebiel, M, Korner, M, Kremper, L, Kretzschmar, J, Kruger, O, Kumala, W, Kurz, A, L'Hegaret, P, Labaste, M, Lachlan-Cope, T, Laing, A, Landschutzer, P, Lang, T, Lange, D, Lange, I, Laplace, C, Lavik, G, Laxenaire, R, Lebihan, C, Leandro, M, Lefevre, N, Lena, M, Lenschow, D, Li, Q, Lloyd, G, Los, S, Losi, N, Lovell, O, Luneau, C, Makuch, P, Malinowski, S, Manta, G, Marinou, E, Marsden, N, Masson, S, Maury, N, Mayer, B, Mayers-Als, M, Mazel, C, Mcgeary, W, Mcwilliams, J, Mech, M, Mehlmann, M, Meroni, A, Mieslinger, T, Minikin, A, Minnett, P, Moller, G, Avalos, Y, Muller, C, Musat, I, Napoli, A, Neuberger, A, Noisel, C, Noone, D, Nordsiek, F, Nowak, J, Oswald, L, Parker, D, Peck, C, Person, R, Philippi, M, Plueddemann, A, Pohlker, C, Portge, V, Poschl, U, Pologne, L, Posyniak, M, Prange, M, Melendez, E, Radtke, J, Ramage, K, Reimann, J, Renault, L, Reus, K, Reyes, A, Ribbe, J, Ringel, M, Ritschel, M, Rocha, C, Rochetin, N, Rottenbacher, J, Rollo, C, Royer, H, Sadoulet, P, Saffin, L, Sandiford, S, Sandu, I, Schafer, M, Schemann, V, Schirmacher, I, Schlenczek, O, Schmidt, J, Schroder, M, Schwarzenboeck, A, Sealy, A, Senff, C, Serikov, I, Shohan, S, Siddle, E, Smirnov, A, Spath, F, Spooner, B, Katharina Stolla, M, Szkolka, W, De Szoeke, S, Tarot, S, Tetoni, E, Thompson, E, Thomson, J, Tomassini, L, Totems, J, Ubele, A, Villiger, L, Von Arx, J, Wagner, T, Walther, A, Webber, B, Wendisch, M, Whitehall, S, Wiltshire, A, Wing, A, Wirth, M, Wiskandt, J, Wolf, K, Worbes, L, Wright, E, Wulfmeyer, V, Young, S, Zhang, C, Zhang, D, Ziemen, F, Zinner, T, Zoger, M, and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, QE1-996.5, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Cloud Feedback, Geology, [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology, Environmental sciences, Atmospheric circulation, Trade-wind cumulus, Field campaign, Aerosol, clouds, sea, sub-tropic, CHIM/12 - CHIMICA DELL'AMBIENTE E DEI BENI CULTURALI, [SDE]Environmental Sciences, GE1-350, Shallow convection, [SDU.OTHER]Sciences of the Universe [physics]/Other, ComputingMilieux_MISCELLANEOUS
Abstract: The science guiding the EUREC4A campaign and its measurements is presented. EUREC4A comprised roughly 5 weeks of measurements in the downstream winter trades of the North Atlantic – eastward and southeastward of Barbados. Through its ability to characterize processes operating across a wide range of scales, EUREC4A marked a turning point in our ability to observationally study factors influencing clouds in the trades, how they will respond to warming, and their link to other components of the earth system, such as upper-ocean processes or the life cycle of particulate matter. This characterization was made possible by thousands (2500) of sondes distributed to measure circulations on meso- (200 km) and larger (500 km) scales, roughly 400 h of flight time by four heavily instrumented research aircraft; four global-class research vessels; an advanced ground-based cloud observatory; scores of autonomous observing platforms operating in the upper ocean (nearly 10 000 profiles), lower atmosphere (continuous profiling), and along the air–sea interface; a network of water stable isotopologue measurements; targeted tasking of satellite remote sensing; and modeling with a new generation of weather and climate models. In addition to providing an outline of the novel measurements and their composition into a unified and coordinated campaign, the six distinct scientific facets that EUREC4A explored – from North Brazil Current rings to turbulence-induced clustering of cloud droplets and its influence on warm-rain formation – are presented along with an overview of EUREC4A's outreach activities, environmental impact, and guidelines for scientific practice. Track data for all platforms are standardized and accessible at https://doi.org/10.25326/165 (Stevens, 2021), and a film documenting the campaign is provided as a video supplement.
Published: 2021

33. Using a network of temperature lidars to identify temperature biases in the upper stratosphere in ECMWF reanalyses

Author: Graeme Marlton, Andrew Charlton-Perez, Giles Harrison, Inna Polichtchouk, Alain Hauchecorne, Philippe Keckhut, Robin Wing, Thierry Leblanc, Wolfgang Steinbrecht, Department of Meteorology [Reading], University of Reading (UOR), European Centre for Medium-Range Weather Forecasts (ECMWF), STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Deutscher Wetterdienst [Offenbach] (DWD), European Project: 653980,H2020,H2020-INFRADEV-1-2014-1,ARISE2(2015), California Institute of Technology (CALTECH)-NASA, and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], Chemistry, Atmospheric Science, 010504 meteorology & atmospheric sciences, 13. Climate action, Physics, QC1-999, 0211 other engineering and technologies, 02 engineering and technology, QD1-999, 01 natural sciences, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences
Abstract: To advance our understanding of the stratosphere, high-quality observational datasets of the stratosphere are needed. It is commonplace that reanalysis datasets are used to conduct stratospheric studies. However, the accuracy of these reanalyses at these heights is hard to infer due to a lack of in situ measurements. Satellite measurements provide one source of temperature information. As some satellite information is already assimilated into reanalyses, the direct comparison of satellite temperatures to the reanalysis is not truly independent. Stratospheric lidars use Rayleigh scattering to measure density in the middle and upper atmosphere, allowing temperature profiles to be derived for altitudes from 30 km (where Mie scattering due to stratospheric aerosols becomes negligible) to 80–90 km (where the signal-to-noise ratio begins to drop rapidly). The Network for the Detection of Atmospheric Composition Change (NDACC) contains several lidars at different latitudes that have measured atmospheric temperatures since the 1970s, resulting in a long-running upper-stratospheric temperature dataset. These temperature datasets are useful for validating reanalysis datasets in the stratosphere, as they are not assimilated into reanalyses. Here, stratospheric temperature data from lidars in the Northern Hemisphere between 1990–2017 were compared with the European Centre for Medium-Range Weather Forecasts ERA-Interim and ERA5 reanalyses. To give confidence to any bias found, temperature data from NASA's EOS Microwave Limb Sounder were also compared to ERA-Interim and ERA5 at points over the lidar sites. In ERA-Interim a cold bias of −3 to −4 K between 10 and 1 hPa was found when compared to both measurement systems. Comparisons with ERA5 found a small bias of magnitude 1 K which varies between cold and warm bias with height between 10 and 1 hPa, indicating a good thermal representation of the middle atmosphere up to 1 hPa. A further comparison was undertaken looking at the temperature bias by year to see the effects of the assimilation of the Advanced Microwave Sounding Unit-A (AMSU-A) satellite data and the Constellation Observing System for Meteorology, Ionosphere, and Climate GPS Radio Occultation (COSMIC GPSRO) data on stratospheric temperatures within the aforementioned ERA analyses. It was found that ERA5 was sensitive to the introduction of COSMIC GPSRO in 2007 with the reduction of the cold bias above 1 hPa. In addition to this, the introduction of AMSU-A data caused variations in the temperature bias between 1–10 hPa between 1997–2008.
Published: 2021

34. Effect of gravitational settling on the collisions of small inertial particles with a sphere

Author: Bec, J, Vallée, Robin, Siewert, Christoph, Centre de Mise en Forme des Matériaux (CEMEF), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Stochastic Approaches for Complex Flows and Environment (CALISTO), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Deutscher Wetterdienst [Offenbach] (DWD), Mines Paris - PSL (École nationale supérieure des mines de Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Mines Paris - PSL (École nationale supérieure des mines de Paris)
Subjects: Physics::Fluid Dynamics, [PHYS.PHYS.PHYS-FLU-DYN]Physics [physics]/Physics [physics]/Fluid Dynamics [physics.flu-dyn], Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Physics - Fluid Dynamics
Abstract: The rate at which small inertial particles collide with a moderate-Reynolds-number spherical body is found to be strongly affected when the formers are also settling under the effect of gravity. The sedimentation of small particles indeed changes the critical Stokes number above which collisions occur. This is explained by the presence of a shielding effect caused by the unstable manifolds of a stagnation-saddle point of an effective velocity field perceived by the small particles. It is also found that there exists a secondary critical Stokes number above which no collisions occur. This is due to the fact that large-Stokes number particles settle faster, making it more difficult for the larger one to catch them up. Still, in this regime, the flow disturbances create a complicated particle distribution in the wake of the collector, sometimes allowing for collisions from the back. This can lead to collision efficiencies higher than unity at large values of the Froude number., Comment: 10 pages, 12 figures
Published: 2020

35. IEA Wind Task 36 -An Overview

Author: Gregor Giebel, Will Shaw, Helmut Frank, Caroline Draxl, John Zack, Pierre Pinson, Corinna Möhrlen, Georges Kariniotakis, Ricardo Bessa, DTU Wind Energy, Pacific Northwest National Laboratory (PNNL), Deutscher Wetterdienst [Offenbach] (DWD), National Renewable Energy Laboratory (NREL), UL Services Group LLC, DTU Electrical Engineering [Lyngby], Technical University of Denmark [Lyngby] (DTU), WEPROG Aps, Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques (PERSEE), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institute for Systems and Computer Engineering, Technology and Science [Porto] (INESC TEC), and IEA Wind Task 36
Subjects: [STAT.AP]Statistics [stat]/Applications [stat.AP], Probabilistic forecast, [SPI.NRJ]Engineering Sciences [physics]/Electric power, probabilistic forecast, energy meteorology, wind power forecast, Wind power prediction, wind power prediction, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], power systems, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], forecast selection, IEA, Wind power forecast, Forecast selection, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
Abstract: Wind power forecasts have been operationally used for over 25 years. Despite this fact, there are still many possibilities to improve and enhance forecasts, both from the weather prediction side and in the use of the forecasts. Until now, most applications have focused on deterministic forecast methods. This is likely to change in the future as penetration levels increase and weather conditions become more unstable due to climate change. Probabilistic methods are therefore receiving more attention from users. The International Energy Agency (IEA) Wind Task 36 on Wind Power Forecasting organises international collaboration, among national weather centres with an interest and/or large projects on wind forecast improvements (NOAA, DWD, UK MetOffice, ...), forecast vendors and forecast users to facilitate scientific exchange to be prepared for future challenges.Collaboration is open to IEA Wind member states; 12 countries are already actively collaborating. The Task is divided in three work packages: Work Package (WP) 1 is a collaboration on the improvement of the scientific basis for the wind predictions themselves. This includes numerical weather prediction (NWP) model physics, but also widely distributed information on accessible datasets. This WP will also organise benchmarks for NWP models. The efforts of WP2 resulted in the publication of an international pre-standard (an IEA Recommended Practice) on how to select an optimal wind power forecast solution for a specific application. The focus of WP3 is on the engagement of end users to disseminate the best practice in the use of wind power predictions, especially probabilistic forecasts.The paper presents an overview of the recently completed first phase and the ongoing second phase of IEA Task 36 on Wind Power Forecasting, which provides a forum forinternational collaboration in this important field for meteorologists, wind power forecasters and end users. For collaboration, please contact the author (grgi@dtu.dk) and seethe website at www.ieawindforecasting.dk.
Published: 2020

36. Evaluation of the New NDACC Ozone and Temperature Lidar at Hohenpeißenberg and Comparison of Results with Previous NDACC Campaigns

Author: Robin Wing, Sophie Godin-Beekmann, John T. Sullivan, Wolfgang Steinbrecht, Sergey Khaykin, Grant Sumnicht, Thomas J. McGee, Larry Twigg, STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Deutscher Wetterdienst [Offenbach] (DWD), and NASA Goddard Space Flight Center (GSFC)
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], 010504 meteorology & atmospheric sciences, Meteorology, Context (language use), 01 natural sciences, law.invention, Atmosphere, Microwave Limb Sounder, Depth sounding, Lidar, 13. Climate action, law, Radiosonde, Radiometry, Environmental science, Satellite, 0105 earth and related environmental sciences
Abstract: A newly upgraded German Weather Service (DWD) ozone and temperature lidar (HOH) located at the Hohenpeißenberg Meteorological Observatory (47.8° N, 11.0° E) has been evaluated through comparison with the travelling standard lidar operated by NASA's Goddard Space Flight Center (NASA STROZ), satellite overpasses from the Microwave Limb Sounder (MLS), the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER), the Ozone Mapping and Profiler Suite (OMPS), meteorological radiosondes launched from München (65 km north-east), and locally launched ozonesondes. The blind evaluation was conducted under the framework of the Network for the Detection of Atmospheric Composition Change (NDACC) using 10 clear nights of measurements in 2018 and 2019. This campaign was conducted within the larger context of NDACC validation activities for European lidar stations. The previous 2017–2018 validation campaign took place at the French Observatoire de Haute Provence and and showed a high degree of fidelity between participating instruments. The results are reported in the companion article (Wing et al., 2020). There was good agreement between all ozone lidar measurements in the range of 15 to 41 km with relative differences between co-located ozone profiles of less than &pm;10 %. Differences in the measured ozone numbers densities between the lidars and the locally launched ozone sondes were also generally less than 5 % below 30 km. The satellite ozone profiles demonstrated some differences with respect to the ground based lidars which are due to sampling differences and geophysical variation. Temperatures differences for all instruments were less than &pm;5 K below 60 km, with larger differences present in the lidar-satellite comparisons above this region. Temperature differences between the lidars met the NDACC accuracy requirements of &pm;1 K between 17 and 78 km. The NASA lidar exhibited slightly colder temperatures, between 5 and 10 K, than the other instruments below 20 km and slightly warmer temperatures, 5 to 10 K, above 70 km. These differences are likely due to algorithm initialisation choices and photon count saturation corrections.
Published: 2020

37. A global analysis of climate-relevant aerosol properties retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories

Author: P. Laj, A. Bigi, C. Rose, E. Andrews, C. Lund Myhre, M. Collaud Coen, Y. Lin, A. Wiedensohler, M. Schulz, J. A. Ogren, M. Fiebig, J. Gliß, A. Mortier, M. Pandolfi, T. Petäja, S.-W. Kim, W. Aas, J.-P. Putaud, O. Mayol-Bracero, M. Keywood, L. Labrador, P. Aalto, E. Ahlberg, L. Alados Arboledas, A. Alastuey, M. Andrade, B. Artíñano, S. Ausmeel, T. Arsov, E. Asmi, J. Backman, U. Baltensperger, S. Bastian, O. Bath, J. P. Beukes, B. T. Brem, N. Bukowiecki, S. Conil, C. Couret, D. Day, W. Dayantolis, A. Degorska, K. Eleftheriadis, P. Fetfatzis, O. Favez, H. Flentje, M. I. Gini, A. Gregorič, M. Gysel-Beer, A. G. Hallar, J. Hand, A. Hoffer, C. Hueglin, R. K. Hooda, A. Hyvärinen, I. Kalapov, N. Kalivitis, A. Kasper-Giebl, J. E. Kim, G. Kouvarakis, I. Kranjc, R. Krejci, M. Kulmala, C. Labuschagne, H.-J. Lee, H. Lihavainen, N.-H. Lin, G. Löschau, K. Luoma, A. Marinoni, S. Martins Dos Santos, F. Meinhardt, M. Merkel, J.-M. Metzger, N. Mihalopoulos, N. A. Nguyen, J. Ondracek, N. Pérez, M. R. Perrone, J.-E. Petit, D. Picard, J.-M. Pichon, V. Pont, N. Prats, A. Prenni, F. Reisen, S. Romano, K. Sellegri, S. Sharma, G. Schauer, P. Sheridan, J. P. Sherman, M. Schütze, A. Schwerin, R. Sohmer, M. Sorribas, M. Steinbacher, J. Sun, G. Titos, B. Toczko, T. Tuch, P. Tulet, P. Tunved, V. Vakkari, F. Velarde, P. Velasquez, P. Villani, S. Vratolis, S.-H. Wang, K. Weinhold, R. Weller, M. Yela, J. Yus-Diez, V. Zdimal, P. Zieger, N. Zikova, INAR Physics, Institute for Atmospheric and Earth System Research (INAR), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia (UNIMORE), Laboratoire de Météorologie Physique (LaMP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Norwegian Institute for Air Research (NILU), Federal Office of Meteorology and Climatology MeteoSwiss, Leibniz Institute for Tropospheric Research (TROPOS), Norwegian Meteorological Institute [Oslo] (MET), Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), School of Earth and Environmental Sciences [Seoul] (SEES), Seoul National University [Seoul] (SNU), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Universidad Mayor de San Andrés (UMSA), Centro de Investigaciones Energéticas Medioambientales y Tecnológicas [Madrid] (CIEMAT), Finnish Meteorological Institute (FMI), Paul Scherrer Institute (PSI), Laboratory of Atmospheric Chemistry [Paul Scherrer Institute] (LAC), Agence Nationale pour la Gestion des Déchets Radioactifs (ANDRA), Iinstitute of Environmental Protection - National Research Institute (IOS-PIB), Environmental Radioactivity laboratory (ERL), Institute of Nuclear and Radiological Sciences and Technology, Energy and Safety (INRASTES), National Center for Scientific Research 'Demokritos' (NCSR)-National Center for Scientific Research 'Demokritos' (NCSR), National Centre for Scientific Research Demokritos, Institut National de l'Environnement Industriel et des Risques (INERIS), Deutscher Wetterdienst [Offenbach] (DWD), Department of Computer Science and Engineering [Minneapolis], University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, Swiss Federal Laboratories for Materials Science and Technology [Dübendorf] (EMPA), Arctic Space Centre [Helsinki], Bulgarian Academy of Sciences (BAS), University of Crete [Heraklion] (UOC), Institute for Chemical Technologies and Analytics, Vienna University of Technology (TU Wien), Environmental Chemical Processes Laboratory [Heraklion] (ECPL), Department of Chemistry [Heraklion], University of Crete [Heraklion] (UOC)-University of Crete [Heraklion] (UOC), Department of Environmental Science and Analytical Chemistry [Stockholm] (ACES), Stockholm University, South African Weather Service (SAWS), Department of Medicine [New York], Icahn School of Medicine at Mount Sinai [New York] (MSSM), Observatoire des Sciences de l'Univers de La Réunion (OSU-Réunion), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR), Institute for Environmental Research and Sustainable Development (IERSD), National Observatory of Athens (NOA), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Chimie Atmosphérique Expérimentale (CAE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'aérologie (LAERO), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), NERC National Centre for Earth Observation (NCEO), Natural Environment Research Council (NERC), Laboratoire de l'Atmosphère et des Cyclones (LACy), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Météo-France, Institute for Applied Environmental Research [Stockholm], Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Instituto Nacional de Técnica Aeroespacial (INTA), European Project: 654109,H2020,H2020-INFRAIA-2014-2015,ACTRIS-2(2015), 10092390 - Beukes, Johan Paul, European Commission, Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), CNR - National Research Council of Italy, University of Helsinki, Università degli Studi di Modena e Reggio Emilia, Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Météo France, Laj, P., Bigi, A., Rose, C., Andrews, E., Lund Myhre, C., Collaud Coen, M., Lin, Y., Wiedensohler, A., Schulz, M., A. Ogren, J., Fiebig, M., Gliss, J., Mortier, A., Pandolfi, M., Petaja, T., Kim, S. -W., Aas, W., Putaud, J. -P., Mayol-Bracero, O., Keywood, M., Labrador, L., Aalto, P., Ahlberg, E., Alados Arboledas, L., Alastuey, A., Andrade, M., Artinano, B., Ausmeel, S., Arsov, T., Asmi, E., Backman, J., Baltensperger, U., Bastian, S., Bath, O., Paul Beukes, J., T. Brem, B., Bukowiecki, N., Conil, S., Couret, C., Day, D., Dayantolis, W., Degorska, A., Eleftheriadis, K., Fetfatzis, P., Favez, O., Flentje, H., I. Gini, M., Gregoric, A., Gysel-Beer, M., Gannet Hallar, A., Hand, J., Hoffer, A., Hueglin, C., K. Hooda, R., Hyvarinen, A., Kalapov, I., Kalivitis, N., Kasper-Giebl, A., Eun Kim, J., Kouvarakis, G., Kranjc, I., Krejci, R., Kulmala, M., Labuschagne, C., Lee, H. -J., Lihavainen, H., Lin, N. -H., Loschau, G., Luoma, K., Marinoni, A., Martins Dos Santos, S., Meinhardt, F., Merkel, M., Metzger, J. -M., Mihalopoulos, N., Anh Nguyen, N., Ondracek, J., Perez, N., Rita Perrone, M., Pichon, J. -M., Picard, D., Pont, V., Prats, N., Prenni, A., Reisen, F., Romano, S., Sellegri, K., Sharma, S., Schauer, G., Sheridan, P., Patrick Sherman, J., Schutze, M., Schwerin, A., Sohmer, R., Sorribas, M., Steinbacher, M., Sun, J., Titos, G., Toczko, B., Tuch, T., Tulet, P., Tunved, P., Vakkari, V., Velarde, F., Velasquez, P., Villani, P., Vratolis, S., Wang, S. -H., Weinhold, K., Weller, R., Yela, M., Yus-Diez, J., Zdimal, V., Zieger, P., and Zikova, N.
Subjects: Earth's energy budget, 1171 Geosciences, Atmospheric Science, Eearth radiation balance, PARTICLE NUMBER, 010504 meteorology & atmospheric sciences, Particle number, Meteorology, VISIBLE-LIGHT ABSORPTION, 010501 environmental sciences, 01 natural sciences, Atmosphere, PARTICULATE MATTER, Solar radiation, Cloud condensation nuclei, lcsh:TA170-171, ORGANIC AEROSOL, Physics::Atmospheric and Oceanic Physics, 0105 earth and related environmental sciences, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], SIZE DISTRIBUTIONS, lcsh:TA715-787, Global Atmosphere Watch, REGIONAL BACKGROUND SITES, lcsh:Earthwork. Foundations, Aerosol particles, OPTICAL-PROPERTIES, Albedo, Particulates, RADIATIVE PROPERTIES, Aerosol, lcsh:Environmental engineering, 13. Climate action, Greenhouse gas, FILTER-BASED MEASUREMENTS, BLACK CARBON, Environmental science, Trollobservatoriet, Global Climate Monitoring System
Abstract: Aerosol particles are essential constituents of the Earth’s atmosphere, impacting the earth radiation balance directly by scattering and absorbing solar radiation, and indirectly by acting as cloud condensation nuclei. In contrast to most greenhouse gases, aerosol particles have short atmospheric residence times, resulting in a highly heterogeneous distribution in space and time. There is a clear need to document this variability at regional scale through observations involving, in particular, the in situ near-surface segment of the atmospheric observation system. This paper will provide the widest effort so far to document variability of climate-relevant in situ aerosol properties (namely wavelength dependent particle light scattering and absorption coefficients, particle number concentration and particle number size distribution) from all sites connected to the Global Atmosphere Watch network. High-quality data from almost 90 stations worldwide have been collected and controlled for quality and are reported for a reference year in 2017, providing a very extended and robust view of the variability of these variables worldwide. The range of variability observed worldwide for light scattering and absorption coefficients, single-scattering albedo, and particle number concentration are presented together with preliminary information on their long-term trends and comparison with model simulation for the different stations. The scope of the present paper is also to provide the necessary suite of information, including data provision procedures, quality control and analysis, data policy, and usage of the ground-based aerosol measurement network. It delivers to users of the World Data Centre on Aerosol, the required confidence in data products in the form of a fully characterized value chain, including uncertainty estimation and requirements for contributing to the global climate monitoring system., European Commission Joint Research Centre 654109, European ERDF funds through different Spanish R&D projects of the Spanish Ministerio de Economia, Industria y Competitividad, NorthWest University, University of Helsinki, Academy of Finland 272041, Academy of Finland project Greenhouse gas 269095 296302, Korea Meteorological Administration Research and Development Program "Development of Monitoring and Analysis Techniques for Atmospheric Composition in Korea KMA2018-00522, National Research Foundation of Korea 2017R1D1A1B06032548, Korea Meteorological Administration Research and Development Program KMI2018-01111, Taiwan Environmental Protection Administration, Ministry of Research, France, French Ministry of the Environment, United States Environmental Protection Agency, MeteoSwiss (GAW-CH aerosol monitoring programme), Swiss State Secretariat for Education, Research and Innovation (SERI), Ministry of Education, Youth and Sports of CR within National Sustainability Program I (NPU I) LO1415, ERDF "ACTRISCZ RI" CZ.02.1.01/0.0/0.0/16_013/0001315 CGL2017-85344-R MINECO/AEI/FEDER, TIGAS-CM (Madrid Regional Government) Y2018/EMT-5177, AIRTECCM (Madrid Regional Government) P2018/EMT4329 REDMAAS2020 RED2018-102594-T CIENCIA, Spanish Ministry of Economy, Industry and Competitiveness, European Union (EU) CGL2016-78594-R, Generalitat de Catalunya AGAUR 2017 SGR41, National Institute for Aerospace Technology, Ministerio Espanol de Economia, Industria y Competitividad (MINECO) MIS 5021516, Competitiveness, Entrepreneurship and Innovation, NSRF, Ministry of Education, Universities and Research (MIUR), Norwegian Environment Agency, Swedish FORMAS; Swedish Research Council (VR), Magnus Bergvall foundation, Marta och Erik Holmberg foundation, Swedish EPA
Published: 2020

38. Assimilation of SEVIRI Water Vapor Channels With an Ensemble Kalman Filter on the Convective Scale

Author: Klaus Stephan, Josef Schröttle, Elisabeth Bauernschubert, Hendrik Reich, Christoph Schraff, Martin Weissmann, M. Baldauf, Roland Potthast, Liselotte Bach, H. Anlauf, A. Cress, Annika Schomburg, Axel Hutt, F. Fundel, O. Stiller, R. Faulwetter, C. Köpken-Watts, and Deutscher Wetterdienst [Offenbach] (DWD)
Subjects: 010504 meteorology & atmospheric sciences, Meteorology, Context (language use), 010502 geochemistry & geophysics, 01 natural sciences, Wind speed, Data assimilation, Astrophysics::Solar and Stellar Astrophysics, Relative humidity, lcsh:Science, data assimilation, Physics::Atmospheric and Oceanic Physics, satellite data, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, vertical localization, Local Ensemble Transform Kalman Filter, water vapor channel, SEVIRI, Numerical weather prediction, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, 13. Climate action, Radiance, General Earth and Planetary Sciences, Environmental science, Ensemble Kalman filter, lcsh:Q, Water vapor
Abstract: Numerical weather prediction (NWP) systems at the convective scale are operated to gain reliable forecasts for diverse atmospheric variables at high spatial resolution. Especially for the prediction of small-scale weather phenomena such as deep convection including the associated precipitation patterns and wind gusts the high-resolution models provide additional benefit over coarser scale models. In this context the distribution of atmospheric humidity plays an important role, however conventional observations of atmospheric humidity are sparse in space and time. The present work aims at the assimilation of water vapour channel radiances of the satellite instrument SEVIRI in an operational framework based on a Local Ensemble Transform Kalman Filter (LETKF) and a convection permitting NWP model. This article describes all the essential elements for a successful incorporation of this kind of data into the system, from the application of a cloud filtering technique over bias correction and vertical localisation of the radiance observation. Data assimilation experiments over two four-week periods show a neutral to slightly positive impact of SEVIRI radiances on upper-air relative humidity and wind speed forecasts.
Published: 2020

39. Possible Effects of Greenhouse Gases to Ozone Profiles and DNA Active UV-B Irradiance at Ground Level

Author: Wolfgang Steinbrecht, Irina Petropavlovskikh, Richard Querel, Colette Brogniez, J. Kapsomenakis, Sophie Godin-Beekmann, Martin Dameris, Ilias Fountoulakis, Christos Zerefos, Daan Swart, Kostas Eleftheratos, Patrick Jöckel, J. Ben Liley, Alkiviadis F. Bais, Thierry Leblanc, Amund Søvde Haslerud, Center for Environmental Effects on Health [Athens], Biomedical Research Foundation of the Academy of Athens (BRFAA), Faculty of Geology and Geoenvironment [Athens], National and Kapodistrian University of Athens (NKUA), Research Centre for Atmospheric Physics and Climatology [Athens], Academy of Athens, Navarino Environmental Observatory (NEO), Department of Physics [Thessaloniki], Aristotle University of Thessaloniki, Aosta Valley Regional Environmental Protection Agency (ARPA), DLR Institut für Physik der Atmosphäre (IPA), Deutsches Zentrum für Luft- und Raumfahrt [Oberpfaffenhofen-Wessling] (DLR), Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Deutscher Wetterdienst [Offenbach] (DWD), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), National Institute of Water and Atmospheric Research [Lauder] (NIWA), National Institute for Public Health and the Environment [Bilthoven] (RIVM), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), and California Institute of Technology (CALTECH)-NASA
Subjects: Atmospheric Science, Ozone, 010504 meteorology & atmospheric sciences, Cloud cover, Irradiance, Climate change, 010501 environmental sciences, Environmental Science (miscellaneous), lcsh:QC851-999, Atmospheric sciences, 7. Clean energy, 01 natural sciences, UV radiation, chemistry.chemical_compound, MESSy, UV‐B irradiance, Ozone layer, Erdsystem-Modellierung, greenhouse gases, halogens, atmospheric modelling, effects, 0105 earth and related environmental sciences, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, EMAC, UV-B irradiance, Global warming, DNA, ozone, chemistry, 13. Climate action, CCMI, Greenhouse gas, Climate model, lcsh:Meteorology. Climatology
Abstract: In this paper, we compare model calculations of ozone profiles and their variability for the period 1998 to 2016 with satellite and lidar profiles at five ground-based stations. Under the investigation is the temporal impact of the stratospheric halogen reduction (chemical processes) and increase in greenhouse gases (i.e., global warming) on stratospheric ozone changes. Attention is given to the effect of greenhouse gases on ultraviolet-B radiation at ground level. Our chemistry transport and chemistry climate models (Oslo CTM3 and EMAC CCM) indicate that (a) the effect of halogen reduction is maximized in ozone recovery at 1&ndash, 7 hPa and observed at all lidar stations, and (b) significant impact of greenhouse gases on stratospheric ozone recovery is predicted after the year 2050. Our study indicates that solar ultraviolet-B irradiance that produces DNA damage would increase after the year 2050 by +1.3% per decade. Such change in the model is driven by a significant decrease in cloud cover due to the evolution of greenhouse gases in the future and an insignificant trend in total ozone. If our estimates prove to be true, then it is likely that the process of climate change will overwhelm the effect of ozone recovery on UV-B irradiance in midlatitudes.
Published: 2020
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40. Phase Coherence Induced by Additive Gaussian and Non-gaussian Noise in Excitable Networks With Application to Burst Suppression-Like Brain Signals

Author: Jérémie Lefebvre, Heiko Kaiser, Axel Hutt, Darren Hight, Deutscher Wetterdienst [Offenbach] (DWD), University of Ottawa [Ottawa], Department of Mathematics [University of Toronto], University of Toronto, Bern University Hospital [Berne] (Inselspital), and Hutt, Axel
Subjects: Statistics and Probability, Phase transition, Gaussian, 610 Medicine & health, stochastic process, 01 natural sciences, Stability (probability), Noise (electronics), 010305 fluids & plasmas, symbols.namesake, [NLIN.NLIN-AO] Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO], 0103 physical sciences, Statistical physics, [NLIN.NLIN-AO]Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO], 010306 general physics, Physics, Stochastic process, lcsh:T57-57.97, Applied Mathematics, coherence resonance, Nonlinear system, phase transition, Gaussian noise, lcsh:Applied mathematics. Quantitative methods, symbols, lcsh:Probabilities. Mathematical statistics, burst suppression, lcsh:QA273-280, excitable system, Coherence (physics)
Abstract: International audience; It is well-known that additive noise affects the stability of nonlinear systems. Using a network composed of two interacting populations , detailed stochastic and non-linear analysis demonstrates that increasing the intensity of iid additive noise induces a phase transition from a spectrally broad-band state to a phase-coherent oscillatory state. Corresponding coherence resonance-like system behaviour is described analytically for iid noise as well. Stochastic transitions and coherence resonance-like behaviour were also found to occur for non-iid additive noise induced by increased heterogeneity, corresponding analytical results complement the analysis. Finally, the results are applied to burst suppression-like patterns observed in electroencephalographic data under anaesthesia, providing strong evidence that these patterns reflect jumps between random and phase-coherent neural states induced by varying external additive noise levels.
Published: 2020

41. EUREC 4 A

Author: Stevens, Bjorn, Bony, Sandrine, Farrell, David, Ament, Felix, Blyth, Alan M., Fairall, Chiristopher W., Karstensen, Johannes, Quinn, Patricia K., Speich, Sabrina, Acquistapace, Claudia, Aemisegger, Franziska, Albright, Anna, Bellenger, Hugo, Bodenschatz, Eberhard, Caesar, Kathy-Ann, Chewitt-Lucas, Rebecca, De Boer, Gijs, Delanoë, Julien, Denby, Leif Christopher, Ewald, Florian, Fildier, Benjamin, Forde, Marvin, George, Geet, Gross, Silke, Hagen, Martin, Hausold, Andrea, Heywood, Karen J., Hirsch, Lutz, Jacob, Marek, Jansen, Friedhelm, Kinne, Stefan, Klocke, Daniel, Kölling, Tobias, Konow, Heike, Lothon, Marie, Mohr, Wiebke, Naumann, Ann Kristin, Nuijens, Louise, Olivier, Léa, Pincus, Robert, Pöhlker, Mira L., Reverdin, Gilles, Roberts, Gregory, Schnitt, Sabrina, Sullivan, Peter P., Touzé-Peiffer, Ludovic, Vial, Jessica, Vogel, Raphaela, Alexander, Nicola, Alves, Lyndon, Arixi, Sophian, Asmath, Hamish, Bagheri, Gholamhossein, Bailey, Adriana, Baranowski, Dariusz, Baron, Alexandre, Barrau, Sébastien, Barrett, Paul Alan, Behrendt, Andreas, Bendinger, Arne, Beucher, Florent, Bigorre, Sebastien, Bosser, Pierre, Blossey, P., Bock, Olivier, Bourras, Denis, Bouruet-Aubertot, Pascale, Bower, K, Branger, H, Brennek, M, Brewer, A, Brilouet, P.-E, Brügmann, B, Buehler, S, Burke, E, Burton, R, Böing, S, Calmer, R, Canonici, J.-C, Carton, X, Cato, G, Charles, J, Chazette, Patrick, Chen, Y, Choularton, T, Chuang, P, Clarke, S, Coe, H, Cornet, C, Coutris, P, Couvreux, F, Crewell, S, Cronin, T, Cui, Z, Cuypers, Y, Daley, A, Damerell, G, Dauhut, T, De Graaf, D, De Groot, G, De Szoeke, S, Deneke, H, Desbios, J.-P, Douet, V, Drushka, K, Dütsch, M, Ehrlich, A, Emanuel, K, Emmanouilidis, A, Etienne, J.-C, Etienne-Leblanc, S, Faure, G, Feingold, G, Ferrero, L, Fix, A, Flamant, Cyrille, Flatau, P, Foltz, G, Gadian, A, Galewsky, J, Gallagher, M, Gallimore, P, Gaston, C, Gentemann, C, Geyskens, N, Giez, A, Gourbeyre, C, Grosz, R, Gutleben, M, Güttler, J, Hall, K, Harris, G, Helfer, K, Henze, D, Herbert, C, Holanda, B, Ibanez-Landeta, A, Intrieri, J, Iyer, S, Julien, F, Kalesse, H, Kazil, J, Kellman, A, Kirchner, U, Klingebiel, M, Kremper, L, Kretzschmar, J, Krüger, O, Kurz, A, Körner, M, L'hégaret, P, Lachlan-Cope, T, Laing, A, Landschützer, P, Lang, T, Lange, D, Lange, I, Laplace, C, Laxenaire, R, Le Bihan, C, Leandro, M, Lefevre, N, Lenschow, D, Li, Q, Lloyd, G, Los, S, Losi, N, Lovell, O, Luneau, C, Makuch, P, Malinowski, S, Manta, G, Marinou, E, Marsden, N, Matthieu, L, Maury, N, Mayer, B, Mayers-Als, M, Mazel, Christophe, Mcgeary, W, Mcwilliams, J, Mech, M, Mehlmann, M, Meroni, A, Mieslinger, T, Minikin, A, Avalos, Y, Muller, Caroline, Musat, I, Möller, G, Napoli, A, Neuberger, A, Noone, D, Nordsiek, F, Nowak, J, Oswald, L, Parker, D, Peck, C, Person, R, Plueddemann, A, Pologne, L, Posyniak, M, Prange, M, Pöhlker, C, Pörtge, V, Pöschl, U, Quiñones Meléndez, E, Radtke, J, Ramage, K, Reimann, J, Renault, L, Reus, K, Reyes, A, Ribbe, J, Ringel, M, Ritschel, M, Rocha, C, Rochetin, N, Rollo, C, Röttenbacher, J, Saffin, L, Sandiford, S, Sandu, I, Schemann, V, Schirmacher, I, Schlenczek, O, Schmidt, J, Schröder, M, Schulz, H, Schwarzenboeck, A, Schäfer, M, Sealy, A, Serikov, I, Shohan, S, Siddle, E, Siebesma, A, Späth, F, Stephan, C, Stolla, M, Szkółka, W, Tarot, S, Tetoni, E, Thompson, E, Thomson, J, Tomassini, L, Totems, J, Villiger, L, Walther, A, Webber, B, Wendisch, M, Whitehall, S, Wiltshire, A, Wing, A, Wirth, M, Wiskandt, J, Wolf, K, Worbes, L, Wright, E, Wulfmeyer, V, Young, S, Zhang, D, Zhang, C, Ziemen, F, Zinner, T, Zuidema, P, Zöger, M, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Caribbean Institute for Meteorology and Hydrology (CIMH), Meteorological Institute [Hamburg], University of Hamburg, National Centre for Atmospheric Science [Leeds] (NCAS), Natural Environment Research Council (NERC), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), Institute for Geophysics and Meteorology [Köln] (IGM), University of Cologne, Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Max Planck Institute for Dynamics and Self-Organization (MPIDS), NOAA Physical Sciences Laboratory (PSL), SPACE - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), University of Leeds, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Deutscher Wetterdienst [Offenbach] (DWD), Ludwig-Maximilians-Universität München (LMU), Laboratoire d'aérologie (LA), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Universität Hamburg (UHH), Max Planck Institute for Marine Microbiology, Delft University of Technology (TU Delft), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Universität zu Köln, École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel, Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), National Center for Atmospheric Research [Boulder] (NCAR), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), TROPO - LATMOS, Institut Pythéas (OSU PYTHEAS), and Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: [SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2020

42. Intercomparison and evaluation of ground- and satellite-based stratospheric ozone and temperature profiles above Observatoire de Haute-Provence during the Lidar Validation NDACC Experiment (LAVANDE)

Author: Thomas J. McGee, Robin Wing, Wolfgang Steinbrecht, Philippe Keckhut, John T. Sullivan, Grant Sumnicht, Sophie Godin-Beekmann, Gérard Ancellet, Alain Hauchecorne, Sergey Khaykin, STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Deutscher Wetterdienst [Offenbach] (DWD), NASA Goddard Space Flight Center (GSFC), TROPO - LATMOS, Institut National des Sciences de l’Univers/Centre National de la Recherche Scientifique (INSU/CNRS), Université de Versailles Saint-Quentin- en-Yvelines (UVSQ), Centre National d’Études Spatiales (CNES), and NASA Upper Atmospheric Research Program, and ARISE2.
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], Atmospheric Science, 010504 meteorology & atmospheric sciences, Meteorology, lcsh:TA715-787, lcsh:Earthwork. Foundations, 01 natural sciences, lcsh:Environmental engineering, law.invention, 010309 optics, Atmosphere, Microwave Limb Sounder, Depth sounding, Lidar, 13. Climate action, law, 0103 physical sciences, Ozone layer, Radiosonde, Radiometry, Environmental science, Satellite, lcsh:TA170-171, 0105 earth and related environmental sciences
Abstract: A two-part intercomparison campaign was conducted at Observatoire de Haute-Provence (OHP) for the validation of lidar ozone and temperature profiles using the mobile NASA Stratospheric Ozone Lidar (NASA STROZ), satellite overpasses from the Microwave Limb Sounder (MLS), the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER), meteorological radiosondes launched from Nîmes, and locally launched ozonesondes. All the data were submitted and compared “blind”, before the group could see results from the other instruments. There was good agreement between all ozone measurements between 20 and 40 km, with differences of generally less than 5 % throughout this region. Below 20 km, SABER and MLS measured significantly more ozone than the lidars or ozonesondes. Temperatures for all lidars were in good agreement between 30 and 60 km, with differences on the order of ±1 to 3 K. Below 30 km, the OHP lidar operating at 532 nm has a significant cool bias due to contamination by aerosols. Systematic, altitude-varying bias up to ±5 K compared to the lidars was found for MLS at many altitudes. SABER temperature profiles are generally closer to the lidar profiles, with up 3 K negative bias near 50 km. Total uncertainty estimates for ozone and temperature appear to be realistic for nearly all systems. However, it does seem that the very low estimated uncertainties of lidars between 30 and 50 km, between 0.1 and 1 K, are not achieved during Lidar Validation Network for the Detection of Atmospheric Composition Change (NDACC) Experiment (LAVANDE). These estimates might have to be increased to 1 to 2 K.
Published: 2020

43. Global Climate [in 'State of the Climate in 2019']

Author: Dunn, Robert J. H., Stanitski, Diane M., Gobron, Nadine, Willett, Kate M., Ades, M., Adler, R., Allan, R. P., Anderson, J., Argüez, Anthony, Arosio, C., Augustine, J. A., Azorin-Molina, C., Barichivich, J., Barnes, J., Beck, H. E., Becker, Andreas, Bellouin, Nicolas, Benedetti, Angela, Berry, David I., Blenkinsop, Stephen, Bock, Olivier, Bosilovich, Michael G., Boucher, Olivier, Buehler, S. A., Carrea, Laura, Christiansen, Hanne H., Chouza, F., Christy, John R., Chung, E.-S., Coldewey-Egbers, Melanie, Compo, Gil P., Cooper, Owen R., Covey, Curt, Crotwell, A., Davis, Sean M., Eyto, Elvira De, de Jeu, Richard A. M., Degasperi, Curtis L., Degenstein, Doug, Di Girolamo, Larry, Dokulil, Martin T., Donat, Markus G., Dorigo, Wouter A., Durre, Imke, Dutton, Geoff S., Duveiller, G., Elkins, James W., Fioletov, Vitali E., Flemming, Johannes, Foster, Michael J., Frey, Richard A., Frith, Stacey M., Froidevaux, Lucien, Garforth, J., Gupta, S. K., Haimberger, Leopold, Hall, Brad D., Harris, Ian, Heidinger, Andrew K., Hemming, D. L., Ho, Shu-Peng (ben), Hubert, Daan, Hurst, Dale F., Hüser, I., Inness, Antje, Isaksen, K., John, Viju, Jones, Philip D., Kaiser, J. W., Kelly, S., Khaykin, Sergey, Kidd, R., Kim, Hyungiun, Kipling, Z., Kraemer, B. M., Kratz, D. P., Fuente, R. S. La, Lan, Xin, Lantz, Kathleen O., Leblanc, Thierry, Li, Bailing, Loeb, Norman G., Long, Craig S., Loyola, Diego, Marszelewski, Wlodzimierz, Martens, B., May, Linda, Mayer, Michael, Mccabe, M. F., Mcvicar, Tim R., Mears, Carl A., Menzel, W. Paul, Merchant, Christopher J., Miller, Ben R., Miralles, Diego G., Montzka, Stephen A., Morice, Colin, Mühle, Jens, Myneni, R., Nicolas, Julien P., Noetzli, Jeannette, Osborn, Tim J., Park, T., Pasik, A., Paterson, Andrew M., Pelto, Mauri S., Perkins-Kirkpatrick, S., Petron, G., Phillips, C., Pinty, Bernard, Po-Chedley, S., Polvani, L., Preimesberger, W., Pulkkanen, M., Randel, W. J., Remy, Samuel, Ricciardulli, L., Richardson, A. D., Rieger, L., Robinson, David A., Rodell, Matthew, Rosenlof, Karen H., Roth, Chris, Rozanov, A., Rusak, James A., Rusanovskaya, O., Rutishäuser, T., Sánchez-Lugo, Ahira, Sawaengphokhai, P., Scanlon, T., Schenzinger, Verena, Schladow, S. Geoffey, Schlegel, R. W, Schmid, Martin, Selkirk, H. B., Sharma, S., Shi, Lei, Shimaraeva, S. V., Silow, E. A., Simmons, Adrian J., Smith, C. A., Smith, Sharon L, Soden, B. J., Sofieva, Viktoria, Sparks, T. H., Jr., Paul W. Stackhouse, Steinbrecht, Wolfgang, Streletskiy, Dimitri A., Taha, G., Telg, Hagen, Thackeray, S. J., Timofeyev, M. A., Tourpali, Kleareti, Tye, Mari R., A, Ronald J. van Der, van Der Schalie, Robin, van Der Schrier, Gerard, van Der Werf, Guido R., Verburg, Piet, Vernier, Jean-Paul, Vömel, Holger, Vose, Russell S., Wang, Ray, Watanabe, Shohei G., Weber, Mark, Weyhenmeyer, Gesa A., Wiese, David, Wilber, Anne C., Wild, Jeanette D., Wong, Takmeng, Woolway, R. Iestyn, Yin, Xungang, Zhao, Lin, Zhao, Guanguo, Zhou, Xinjia, Ziemke, Jerry R., Ziese, Markus, Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), European Commission - Joint Research Centre [Ispra] (JRC), European Centre for Medium-Range Weather Forecasts (ECMWF), University of Maryland [College Park], University of Maryland System, University of Reading (UOR), Department of Atmospheric and Planetary Sciences [Hampton] (APS), Hampton University, NOAA National Environmental Satellite, Data, and Information Service (NESDIS), Universität Bremen, Centro de Investigaciones sobre Desertificacion (CIDE), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Pontificia Universidad Católica de Valparaíso (PUCV), Department of Civil and Environmental Engineering [Princeton], Princeton University, Deutscher Wetterdienst [Offenbach] (DWD), Department of Meteorology [Reading], National Oceanography Centre [Southampton] (NOC), University of Southampton, Newcastle University [Newcastle], Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel, Global Modeling and Assimilation Office (GMAO), NASA Goddard Space Flight Center (GSFC), Sorbonne Université (SU), Universität Hamburg (UHH), The University Centre in Svalbard (UNIS), Jet Propulsion Laboratory (JPL), California Institute of Technology (CALTECH)-NASA, University of Alabama in Huntsville (UAH), IBS Center for Climate Physics, Pusan National University, Deutsches Zentrum für Luft- und Raumfahrt [Oberpfaffenhofen-Wessling] (DLR), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), Lawrence Livermore National Laboratory (LLNL), Marine Institute [Ireland], VanderSat B.V., King County Water and Land Resources Division, Institute of Space and Atmospheric Studies [Saskatoon] (ISAS), Department of Physics and Engineering Physics [Saskatoon], University of Saskatchewan [Saskatoon] (U of S)-University of Saskatchewan [Saskatoon] (U of S), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, University of Innsbruck, Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS), Department of Geodesy and Geoinformation [Wien], Vienna University of Technology (TU Wien), Environment and Climate Change Canada, Cooperative Institute for Meteorological Satellite Studies (CIMSS), National Oceanic and Atmospheric Administration (NOAA)-University of Wisconsin-Madison-NASA, Science Systems and Applications, Inc. [Lanham] (SSAI), Woodland Trust, Science Systems and Applications, Inc. [Hampton] (SSAI), Department of Meteorology and Geophysics [Vienna], Universität Wien, School of Environmental Sciences [Norwich], University of East Anglia [Norwich] (UEA), Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB), ESRL Global Monitoring Laboratory [Boulder] (GML), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), Norwegian Meteorological Institute [Oslo] (MET), European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Dundalk Institute of Technology (DkIT), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Earth Observation Data Centre GmbH (EODC), Institute of Industrial Science (IIS), The University of Tokyo (UTokyo), Leibniz-Institut für Gewässerökologie und Binnenfischerei (IGB), Leibniz Association, NASA Langley Research Center [Hampton] (LaRC), GSFC Hydrological Sciences Laboratory, Earth Science System Interdisciplinary Center [College Park] (ESSIC), College of Computer, Mathematical, and Natural Sciences [College Park], University of Maryland System-University of Maryland System-University of Maryland [College Park], University of Maryland System-University of Maryland System, NOAA National Weather Service (NWS), DLR Institut für Methodik der Fernerkundung / DLR Remote Sensing Technology Institute (IMF), Department of Hydrology and Water Resources Management, Nicolaus Copernicus University [Toruń], Hydro-Climate Extremes Laboratory (H-CEL), Universiteit Gent = Ghent University [Belgium] (UGENT), Centre for Ecology and Hydrology [Edinburgh] (CEH), Natural Environment Research Council (NERC), King Abdullah University of Science and Technology (KAUST), CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Remote Sensing Systems [Santa Rosa] (RSS), Space Science and Engineering Center [Madison] (SSEC), University of Wisconsin-Madison, NERC National Centre for Earth Observation (NCEO), Scripps Institution of Oceanography (SIO), University of California [San Diego] (UC San Diego), University of California-University of California, Department of Environmental, Earth and Ocean Sciences [Boston] (EEOS), University of Massachusetts [Boston] (UMass Boston), University of Massachusetts System (UMASS)-University of Massachusetts System (UMASS), Swiss Federal Institute for Forest, Snow and Landscape Research WSL, NASA Ames Research Center (ARC), Dorset Environmental Science Centre, Ontario Ministry of the Environment and Climate Change, Nichols College Dudley, University of New South Wales [Sydney] (UNSW), Department of Atmospheric and Oceanic Sciences [Madison], Columbia University [New York], Finnish Meteorological Institute (FMI), National Center for Atmospheric Research [Boulder] (NCAR), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), School of Informatics, Computing, and Cyber Systems (SICCS), Northern Arizona University [Flagstaff], Center for Ecosystem Science and Society (ECOSS), University of Saskatchewan [Saskatoon] (U of S), Department of Geography [Piscataway], Rutgers, The State University of New Jersey [New Brunswick] (RU), Rutgers University System (Rutgers)-Rutgers University System (Rutgers), Irkutsk State University (ISU), Institute of Geography [Bern], University of Bern, UC Davis Tahoe Environmental Research Center, University of California [Davis] (UC Davis), Department of Physical Oceanography [Woods Hole], Woods Hole Oceanographic Institution (WHOI), Swiss Federal Insitute of Aquatic Science and Technology [Dübendorf] (EAWAG), York University [Toronto], Geological Survey of Canada [Ottawa] (GSC Central & Northern Canada), Geological Survey of Canada - Office (GSC), Natural Resources Canada (NRCan)-Natural Resources Canada (NRCan), Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami [Coral Gables], Poznan University of Life Sciences (Uniwersytet Przyrodniczy w Poznaniu) (PULS), Meteorologisches Observatorium Hohenpeißenberg (MOHp), Department of Geography [Washington], The George Washington University (GW), Goddard Earth Sciences and Technology and Research (GESTAR), Universities Space Research Association (USRA)-NASA, Centre for Ecology and Hydrology [Lancaster] (CEH), Laboratory of Atmospheric Physics [Thessaloniki], Aristotle University of Thessaloniki, Capacity Center for Climate and Weather Extremes (C3WE), Royal Netherlands Meteorological Institute (KNMI), Vrije Universiteit Amsterdam [Amsterdam] (VU), National Institute of Water and Atmosphere [Hamilton] (NIWA), Earth Observing Laboratory [Boulder] (EOL), National Center for Atmospheric Research [Boulder] (NCAR)-University Corporation for Atmospheric Research (UCAR), School of Earth and Atmospheric Sciences [Atlanta], Georgia Institute of Technology [Atlanta], Nanjing University of Information Science and Technology (NUIST), Institut de Physique du Globe de Paris (IPGP (UMR_7154)), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), NASA-California Institute of Technology (CALTECH), Leopold Franzens Universität Innsbruck - University of Innsbruck, University of Wisconsin-Madison-NASA-National Oceanic and Atmospheric Administration (NOAA), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University (UGENT), Scripps Institution of Oceanography (SIO - UC San Diego), University of California (UC)-University of California (UC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), and NASA-Universities Space Research Association (USRA)
Subjects: [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
Abstract: International audience; Global Climate is one chapter from the State of the Climate in 2019 annual report and is avail- able from https://doi.org/10.1175/BAMS-D-20-0104.1 Compiled by NOAA’s National Centers for Environmental Information, State of the Climate in 2019 is based on contributions from scien- tists from around the world. It provides a detailed update on global climate indicators, notable weather events, and other data collected by environmental monitoring stations and instru- ments located on land, water, ice, and in space.The full report is available from https://doi.org/10.1175/2020BAMSStateoftheClimate.1.
Published: 2020

44. Advancing Research for Seamless Earth System Prediction

Author: RUTI, Paolo M., TARASOVA, Oksana, KELLER, Julia H., CARMICHAEL, Greg, HOV, Oystein, JONES, Sarah C., TERBLANCHE, Deon, ANDERSON-LEFALE, Cheryl, BARROS, Ana P., BAUER, Peter, BOUCHET, Veronique, BRASSEUR, Guy, BRUNET, Gilbert, DECOLA, Phil, DIKE, Victor, DIOP, KANE Mariane, GAN, Christopher, GURNEY, Kevin R., HAMBURG, Steven, HAZELEGER, Wilco, JEAN, Michel, JOHNSTON, David, LEWIS, Alastair, LI, Peter, LIANG, Xudong, LUCARINI, Valerio, LYNCH, Amanda, MANAENKOVA, Elena, NAM, Jae-Cheol, PINARDI, Nadia, POLCHER, Jan, RITCHIE, Elizabeth, SAKYA, Andi Eka, SAULO, Celeste, SINGHEE, Amith, SOPAHELUWAKAN, Ardhasena, STEINER, Andrea, THORPE, Alan, OHTAKE, Satoru, YAMAJI, Moeka, World Meteorological Organization (WMO), The University of Iowa, Iowa City, Iowa, Norwegian Meteorological Institute [Oslo] (MET), The Norwegian Academy of Science and Letters, Deutscher Wetterdienst [Offenbach] (DWD), LeA International Consultants Ltd., Wellington, New Zealand, Department of Pediatrics, Duke University Medical Center, Durham, North Carolina, European Centre for Medium-Range Weather Forecasts (ECMWF), Environment and Climate Change Canada, Dorval, Quebec, Canada, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Australian Bureau of Meteorology Training Centre (BMTC), Australian Government, Sigma Space Corporation, Lanham, Maryland, International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, Agence Nationale de l’Aviation Civile et de la Météorologie (ANACIM), Meteorological Service Singapore, Singapore, Arizona State University, Flagstaff, Arizona, Environmental Defense Fund, New York, New York, Faculty of Geosciences, Utrecht University, Utrecht, Netherlands, Massey University, Wellington, New Zealand, National Center for Atmospheric Sciences, University of York, Heslington, United Kingdom, Hong Kong Observatory, Hong Kong, China, State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, Centrum für Erdsystemforschung und Nachhaltigkeit, University of Hamburg, Hamburg, Germany, Brown University, Providence, Rhode Island, Korea Meteorological Administration, Seoul, South Korea, Japan Science and Technology Agency, Saitama, Japan, Department of Physics and Astronomy, Alma Mater Studiorum University of Bologna, Bologna, Italy, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), School of Engineering and Information Technology, University of New South Wales, Canberra, Australia, Agency for the Assessment and Application of Technology (BPPT), Jakarta, Indonesia, Servicio Meteorológico Nacional, Buenos Aires, Argentina, IBM Research, Bangalore, India, Indonesian Agency for Meteorology, Climatology and Geophysics (BMKG), Department of Meteorology [Reading], University of Reading (UOR), Japan Aerospace Exploration Agency [Tokyo] (JAXA), Ruti, Paolo M., Tarasova, Oksana, Keller, Julia H., Carmichael, Greg, Hov, Øystein, Jones, Sarah C., Terblanche, Deon, Anderson-Lefale, Cheryl, Barros, Ana P., Bauer, Peter, Bouchet, Véronique, Brasseur, Guy, Brunet, Gilbert, DeCola, Phil, Dike, Victor, Kane, Mariane Diop, Gan, Christopher, Gurney, Kevin R., Hamburg, Steven, Hazeleger, Wilco, Jean, Michel, Johnston, David, Lewis, Alastair, Li, Peter, Liang, Xudong, Lucarini, Valerio, Lynch, Amanda, Manaenkova, Elena, Jae-Cheol, Nam, Ohtake, Satoru, Pinardi, Nadia, Polcher, Jan, Ritchie, Elizabeth, Sakya, Andi Eka, Saulo, Celeste, Singhee, Amith, Sopaheluwakan, Ardhasena, Steiner, Andrea, Thorpe, Alan, and Yamaji, Moeka
Subjects: Earth system science, Atmospheric Science, 010504 meteorology & atmospheric sciences, Meteorology, Scale (ratio), [SDE]Environmental Sciences, Environmental science, 010502 geochemistry & geophysics, 01 natural sciences, Forecasting the earth, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences
Abstract: 著者人数: 40名, 形態: カラー図版あり, Number of authors: 40, Physical characteristics: Original contains color illustrations, Accepted: 2019-08-09, 資料番号: PA2010005000
Published: 2020
Full Text: View/download PDF

45. EUREC 4 A

Author: Stevens, Bjorn, Bony, Sandrine, Farrell, David, Ament, Felix, Blyth, Alan M., Fairall, Chiristopher W., Karstensen, Johannes, Quinn, Patricia K., Speich, Sabrina, Acquistapace, Claudia, Aemisegger, Franziska, Albright, Anna, Bellenger, Hugo, Bodenschatz, Eberhard, Caesar, Kathy-Ann, Chewitt-Lucas, Rebecca, De Boer, Gijs, Delanoë, Julien, Denby, Leif Christopher, Ewald, Florian, Fildier, Benjamin, Forde, Marvin, George, Geet, Gross, Silke, Hagen, Martin, Hausold, Andrea, Heywood, Karen J., Hirsch, Lutz, Jacob, Marek, Jansen, Friedhelm, Kinne, Stefan, Klocke, Daniel, Kölling, Tobias, Konow, Heike, Lothon, Marie, Mohr, Wiebke, Naumann, Ann Kristin, Nuijens, Louise, Olivier, Léa, Pincus, Robert, Pöhlker, Mira L., Reverdin, Gilles, Roberts, Gregory, Schnitt, Sabrina, Sullivan, Peter P., Touzé-Peiffer, Ludovic, Vial, Jessica, Vogel, Raphaela, Alexander, Nicola, Alves, Lyndon, Arixi, Sophian, Asmath, Hamish, Bagheri, Gholamhossein, Bailey, Adriana, Baranowski, Dariusz, Baron, Alexandre, Barrau, Sébastien, Barrett, Paul Alan, Behrendt, Andreas, Bendinger, Arne, Beucher, Florent, Bigorre, Sebastien, Bosser, Pierre, Blossey, P., Bock, Olivier, Bourras, Denis, Bouruet-Aubertot, Pascale, Bower, K, Branger, H, Brennek, M, Brewer, A, Brilouet, P.-E, Brügmann, B, Buehler, S, Burke, E, Burton, R, Böing, S, Calmer, R, Canonici, J.-C, Carton, X, Cato, G, Charles, J, Chazette, Patrick, Chen, Y, Choularton, T, Chuang, P, Clarke, S, Coe, H, Cornet, C, Coutris, P, Couvreux, F, Crewell, S, Cronin, T, Cui, Z, Cuypers, Y, Daley, A, Damerell, G, Dauhut, T, De Graaf, D, De Groot, G, De Szoeke, S, Deneke, H, Desbios, J.-P, Douet, V, Drushka, K, Dütsch, M, Ehrlich, A, Emanuel, K, Emmanouilidis, A, Etienne, J.-C, Etienne-Leblanc, S, Faure, G, Feingold, G, Ferrero, L, Fix, A, Flamant, Cyrille, Flatau, P, Foltz, G, Gadian, A, Galewsky, J, Gallagher, M, Gallimore, P, Gaston, C, Gentemann, C, Geyskens, N, Giez, A, Gourbeyre, C, Grosz, R, Gutleben, M, Güttler, J, Hall, K, Harris, G, Helfer, K, Henze, D, Herbert, C, Holanda, B, Ibanez-Landeta, A, Intrieri, J, Iyer, S, Julien, F, Kalesse, H, Kazil, J, Kellman, A, Kirchner, U, Klingebiel, M, Kremper, L, Kretzschmar, J, Krüger, O, Kurz, A, Körner, M, L'hégaret, P, Lachlan-Cope, T, Laing, A, Landschützer, P, Lang, T, Lange, D, Lange, I, Laplace, C, Laxenaire, R, Le Bihan, C, Leandro, M, Lefevre, N, Lenschow, D, Li, Q, Lloyd, G, Los, S, Losi, N, Lovell, O, Luneau, C, Makuch, P, Malinowski, S, Manta, G, Marinou, E, Marsden, N, Matthieu, L, Maury, N, Mayer, B, Mayers-Als, M, Mazel, Christophe, Mcgeary, W, Mcwilliams, J, Mech, M, Mehlmann, M, Meroni, A, Mieslinger, T, Minikin, A, Avalos, Y, Muller, Caroline, Musat, I, Möller, G, Napoli, A, Neuberger, A, Noone, D, Nordsiek, F, Nowak, J, Oswald, L, Parker, D, Peck, C, Person, R, Plueddemann, A, Pologne, L, Posyniak, M, Prange, M, Pöhlker, C, Pörtge, V, Pöschl, U, Quiñones Meléndez, E, Radtke, J, Ramage, K, Reimann, J, Renault, L, Reus, K, Reyes, A, Ribbe, J, Ringel, M, Ritschel, M, Rocha, C, Rochetin, N, Rollo, C, Röttenbacher, J, Saffin, L, Sandiford, S, Sandu, I, Schemann, V, Schirmacher, I, Schlenczek, O, Schmidt, J, Schröder, M, Schulz, H, Schwarzenboeck, A, Schäfer, M, Sealy, A, Serikov, I, Shohan, S, Siddle, E, Siebesma, A, Späth, F, Stephan, C, Stolla, M, Szkółka, W, Tarot, S, Tetoni, E, Thompson, E, Thomson, J, Tomassini, L, Totems, J, Villiger, L, Walther, A, Webber, B, Wendisch, M, Whitehall, S, Wiltshire, A, Wing, A, Wirth, M, Wiskandt, J, Wolf, K, Worbes, L, Wright, E, Wulfmeyer, V, Young, S, Zhang, D, Zhang, C, Ziemen, F, Zinner, T, Zuidema, P, Zöger, M, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Caribbean Institute for Meteorology and Hydrology (CIMH), Meteorological Institute [Hamburg], University of Hamburg, National Centre for Atmospheric Science [Leeds] (NCAS), Natural Environment Research Council (NERC), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), Institute for Geophysics and Meteorology [Köln] (IGM), University of Cologne, Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Max Planck Institute for Dynamics and Self-Organization (MPIDS), NOAA Physical Sciences Laboratory (PSL), SPACE - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), University of Leeds, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Deutscher Wetterdienst [Offenbach] (DWD), Ludwig-Maximilians-Universität München (LMU), Laboratoire d'aérologie (LA), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Universität Hamburg (UHH), Max Planck Institute for Marine Microbiology, Delft University of Technology (TU Delft), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Universität zu Köln, École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel, Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), National Center for Atmospheric Research [Boulder] (NCAR), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), TROPO - LATMOS, Institut Pythéas (OSU PYTHEAS), and Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: [SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2020

46. EUREC 4 A

Author: Stevens, Bjorn, Bony, Sandrine, Farrell, David, Ament, Felix, Blyth, Alan M., Fairall, Chiristopher W., Karstensen, Johannes, Quinn, Patricia K., Speich, Sabrina, Acquistapace, Claudia, Aemisegger, Franziska, Albright, Anna, Bellenger, Hugo, Bodenschatz, Eberhard, Caesar, Kathy-Ann, Chewitt-Lucas, Rebecca, De Boer, Gijs, Delanoë, Julien, Denby, Leif Christopher, Ewald, Florian, Fildier, Benjamin, Forde, Marvin, George, Geet, Gross, Silke, Hagen, Martin, Hausold, Andrea, Heywood, Karen J., Hirsch, Lutz, Jacob, Marek, Jansen, Friedhelm, Kinne, Stefan, Klocke, Daniel, Kölling, Tobias, Konow, Heike, Lothon, Marie, Mohr, Wiebke, Naumann, Ann Kristin, Nuijens, Louise, Olivier, Léa, Pincus, Robert, Pöhlker, Mira L., Reverdin, Gilles, Roberts, Gregory, Schnitt, Sabrina, Sullivan, Peter P., Touzé-Peiffer, Ludovic, Vial, Jessica, Vogel, Raphaela, Alexander, Nicola, Alves, Lyndon, Arixi, Sophian, Asmath, Hamish, Bagheri, Gholamhossein, Bailey, Adriana, Baranowski, Dariusz, Baron, Alexandre, Barrau, Sébastien, Barrett, Paul Alan, Behrendt, Andreas, Bendinger, Arne, Beucher, Florent, Bigorre, Sebastien, Bosser, Pierre, Blossey, P., Bock, Olivier, Bourras, Denis, Bouruet-Aubertot, Pascale, Bower, K, Branger, H, Brennek, M, Brewer, A, Brilouet, P.-E, Brügmann, B, Buehler, S, Burke, E, Burton, R, Böing, S, Calmer, R, Canonici, J.-C, Carton, X, Cato, G, Charles, J, Chazette, Patrick, Chen, Y, Choularton, T, Chuang, P, Clarke, S, Coe, H, Cornet, C, Coutris, P, Couvreux, F, Crewell, S, Cronin, T, Cui, Z, Cuypers, Y, Daley, A, Damerell, G, Dauhut, T, De Graaf, D, De Groot, G, De Szoeke, S, Deneke, H, Desbios, J.-P, Douet, V, Drushka, K, Dütsch, M, Ehrlich, A, Emanuel, K, Emmanouilidis, A, Etienne, J.-C, Etienne-Leblanc, S, Faure, G, Feingold, G, Ferrero, L, Fix, A, Flamant, Cyrille, Flatau, P, Foltz, G, Gadian, A, Galewsky, J, Gallagher, M, Gallimore, P, Gaston, C, Gentemann, C, Geyskens, N, Giez, A, Gourbeyre, C, Grosz, R, Gutleben, M, Güttler, J, Hall, K, Harris, G, Helfer, K, Henze, D, Herbert, C, Holanda, B, Ibanez-Landeta, A, Intrieri, J, Iyer, S, Julien, F, Kalesse, H, Kazil, J, Kellman, A, Kirchner, U, Klingebiel, M, Kremper, L, Kretzschmar, J, Krüger, O, Kurz, A, Körner, M, L'hégaret, P, Lachlan-Cope, T, Laing, A, Landschützer, P, Lang, T, Lange, D, Lange, I, Laplace, C, Laxenaire, R, Le Bihan, C, Leandro, M, Lefevre, N, Lenschow, D, Li, Q, Lloyd, G, Los, S, Losi, N, Lovell, O, Luneau, C, Makuch, P, Malinowski, S, Manta, G, Marinou, E, Marsden, N, Matthieu, L, Maury, N, Mayer, B, Mayers-Als, M, Mazel, Christophe, Mcgeary, W, Mcwilliams, J, Mech, M, Mehlmann, M, Meroni, A, Mieslinger, T, Minikin, A, Avalos, Y, Muller, Caroline, Musat, I, Möller, G, Napoli, A, Neuberger, A, Noone, D, Nordsiek, F, Nowak, J, Oswald, L, Parker, D, Peck, C, Person, R, Plueddemann, A, Pologne, L, Posyniak, M, Prange, M, Pöhlker, C, Pörtge, V, Pöschl, U, Quiñones Meléndez, E, Radtke, J, Ramage, K, Reimann, J, Renault, L, Reus, K, Reyes, A, Ribbe, J, Ringel, M, Ritschel, M, Rocha, C, Rochetin, N, Rollo, C, Röttenbacher, J, Saffin, L, Sandiford, S, Sandu, I, Schemann, V, Schirmacher, I, Schlenczek, O, Schmidt, J, Schröder, M, Schulz, H, Schwarzenboeck, A, Schäfer, M, Sealy, A, Serikov, I, Shohan, S, Siddle, E, Siebesma, A, Späth, F, Stephan, C, Stolla, M, Szkółka, W, Tarot, S, Tetoni, E, Thompson, E, Thomson, J, Tomassini, L, Totems, J, Villiger, L, Walther, A, Webber, B, Wendisch, M, Whitehall, S, Wiltshire, A, Wing, A, Wirth, M, Wiskandt, J, Wolf, K, Worbes, L, Wright, E, Wulfmeyer, V, Young, S, Zhang, D, Zhang, C, Ziemen, F, Zinner, T, Zuidema, P, Zöger, M, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Caribbean Institute for Meteorology and Hydrology (CIMH), Meteorological Institute [Hamburg], University of Hamburg, National Centre for Atmospheric Science [Leeds] (NCAS), Natural Environment Research Council (NERC), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), Institute for Geophysics and Meteorology [Köln] (IGM), University of Cologne, Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Max Planck Institute for Dynamics and Self-Organization (MPIDS), NOAA Physical Sciences Laboratory (PSL), SPACE - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), University of Leeds, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Deutscher Wetterdienst [Offenbach] (DWD), Ludwig-Maximilians-Universität München (LMU), Laboratoire d'aérologie (LA), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Universität Hamburg (UHH), Max Planck Institute for Marine Microbiology, Delft University of Technology (TU Delft), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Universität zu Köln, École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Université Gustave Eiffel, Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), National Center for Atmospheric Research [Boulder] (NCAR), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), TROPO - LATMOS, Institut Pythéas (OSU PYTHEAS), and Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: [SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2020

47. Validation of SAGE III/ISS Solar Occultation Ozone Products with Correlative Satellite and Ground Based Measurements

Author: Sophie Godin-Beekmann, Kaley A. Walker, Dale F. Hurst, Sean M. Davis, Doug Degenstein, Robert Damadeo, David Flittner, Ghassan Taha, Susan E. Strahan, Thierry Leblanc, Adam Bourassa, Lucien Froidevaux, Natalya Kramarova, Emrys G. Hall, H. J. Ray Wang, Anne M. Thompson, Wolfgang Steinbrecht, Richard Querel, Yuhang Wang, School of Earth and Atmospheric Sciences [Atlanta], Georgia Institute of Technology [Atlanta], NASA Langley Research Center [Hampton] (LaRC), NASA Goddard Space Flight Center (GSFC), Universities Space Research Association (USRA), ESRL Chemical Sciences Division [Boulder] (CSD), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), Jet Propulsion Laboratory (JPL), California Institute of Technology (CALTECH)-NASA, Institute of Space and Atmospheric Studies [Saskatoon] (ISAS), Department of Physics and Engineering Physics [Saskatoon], University of Saskatchewan [Saskatoon] (U of S)-University of Saskatchewan [Saskatoon] (U of S), Meteorologisches Observatorium Hohenpeißenberg (MOHp), Deutscher Wetterdienst [Offenbach] (DWD), Department of Physics [Toronto], University of Toronto, National Institute of Water and Atmospheric Research [Lauder] (NIWA), STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), and ESRL Global Monitoring Laboratory [Boulder] (GML)
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric Science, Stratospheric Aerosol and Gas Experiment, 010504 meteorology & atmospheric sciences, Sunset, Atmospheric sciences, 01 natural sciences, Mesosphere, Troposphere, Geophysics, Altitude, 13. Climate action, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Environmental science, Sunrise, Tropopause, Stratosphere, 0105 earth and related environmental sciences
Abstract: International audience; The Stratospheric Aerosol and Gas Experiment III on the International Space Station (SAGE III/ISS) was launched on February 19, 2017 and began routine operation in June 2017. The first two years of SAGE III/ISS (v5.1) solar occultation ozone data were evaluated by using correlative satellite and ground‐based measurements. Among the three (MES, AO3, and MLR) SAGE III/ISS retrieved solar ozone products, AO3 ozone shows the smallest bias and best precision, with mean biases less than 5% for altitudes ~15–55 km in the mid‐latitudes and ~20–55 km in the tropics. In the lower stratosphere and upper troposphere, AO3 ozone shows high biases that increase with decreasing altitudes and reach ~10% near the tropopause. Preliminary studies indicate that those high biases primarily result from the contributions of the oxygen dimer (O4) not being appropriately removed within the ozone channel. The precision of AO3 ozone is estimated to be ~3% for altitudes between 20 and 40 km. It degrades to ~10–15% in the lower mesosphere (~55 km), and ~20–30% near the tropopause. There could be an altitude registration error of ~100 meters in the SAGE III/ISS auxiliary temperature and pressure profiles. This, however, does not affect retrieved ozone profiles in native number density on geometric altitude coordinates. In the upper stratosphere and lower mesosphere (~40–55 km) the SAGE III/ISS (and SAGE II) retrieved ozone values show sunrise/sunset differences of ~5–8%, which are almost twice as large as what was observed by other satellites or model predictions. This feature needs further study.
Published: 2020

48. Identification of topographic features influencing aerosol observations at high altitude stations

Author: Elisabeth Andrews, Radovan Krejci, Gerhard Schauer, Martine Collaud Coen, Peter Tunved, Marcos Andrade, Angela Marinoni, Véronique Pont, Jing Ming, Marco Pandolfi, Harald Flentje, A. Gannet Hallar, Marina Ealo, Sergio Rodríguez, Ivo Kalapov, Nicolas Bukowiecki, Dominique Ruffieux, Junying Sun, Sangeeta Sharma, Ludwig Ries, Nhat Anh Nguyen, Diego Aliaga, Patricio Velasquez, Hristo Angelov, Neng Huei Lin, Rakesh K. Hooda, Paulo Fialho, Karine Sellegri, Federal Office of Meteorology and Climatology MeteoSwiss, Universidad Mayor de San Andrés (UMSA), Laboratory of Atmospheric Chemistry [Paul Scherrer Institute] (LAC), Paul Scherrer Institute (PSI), Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Department of Agrarian Sciences, University of Azores, Deutscher Wetterdienst [Offenbach] (DWD), Bulgarian Academy of Sciences (BAS), Department of Environmental Science and Analytical Chemistry [Stockholm] (ACES), Stockholm University, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Laboratoire d'aérologie (LAERO), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Meteorologisches Observatorium Hohenpeißenberg (MOHp), Laboratoire de météorologie physique (LaMP), Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut national des sciences de l'Univers (INSU - CNRS), Department of Paediatrics, National Institute of Tuberculosis and Respiratory Diseases, Institute for Applied Environmental Research [Stockholm], European Commission, University of the Azores, Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), and Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Climate monitoring, Atmospheric Science, 010504 meteorology & atmospheric sciences, Planetary boundary layer, 010501 environmental sciences, Atmospheric sciences, Atmospheric boundary layer, 01 natural sciences, Convective Boundary Layer, Latitude, Troposphere, lcsh:Chemistry, Altitude, Aerosoles, Aerosol, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, geography, Plateau, geography.geographical_feature_category, High altitude stations, Formation events, Effects of high altitude on humans, lcsh:QC1-999, lcsh:QD1-999, 13. Climate action, [SDU]Sciences of the Universe [physics], Nucleation, Environmental science, lcsh:Physics
Abstract: High altitude stations are often emphasized as free tropospheric measuring sites but they remain influenced by atmospheric boundary layer (ABL) air masses due to convective transport processes. The local and meso-scale topographical features around the station are involved in the convective boundary layer development and in the formation of thermally induced winds leading to ABL air lifting. The station altitude alone is not a sufficient parameter to characterize the ABL influence. In this study, a topography analysis is performed allowing calculation of a newly defined index called ABL-TopoIndex. The ABL-TopoIndex is constructed in order to correlate with the ABL influence at the high altitude stations and long-term aerosol time series are used to assess its validity. Topography data from the global digital elevation model GTopo30 were used to calculate five parameters for 43 high and 3 middle altitude stations situated on five continents. The geometric mean of these five parameters determines a topography based index called ABL-TopoIndex, which can be used to rank the high altitude stations as a function of the ABL influence. To construct the ABL-TopoIndex, we rely on the criteria that the ABL influence will be low if the station is one of the highest points in the mountainous massif, if there is a large altitude difference between the station and the valleys or high plains, if the slopes around the station are steep, and finally if the inverse drainage basin potentially reflecting the source area for thermally lifted pollutants to reach the site is small. All stations on volcanic islands exhibit a low ABL-TopoIndex, whereas stations in the Himalayas and the Tibetan Plateau have high ABL-TopoIndex values. Spearman's rank correlation between aerosol optical properties and number concentration from 28 stations and the ABL-TopoIndex, the altitude and the latitude are used to validate this topographical approach. Statistically significant (SS) correlations are found between the 5th and 50th percentiles of all aerosol parameters and the ABL-TopoIndex, whereas no SS correlation is found with the station altitude. The diurnal cycles of aerosol parameters seem to be best explained by the station latitude although a SS correlation is found between the amplitude of the diurnal cycles of the absorption coefficient and the ABL-TopoIndex. © 2018 Author(s)., The authors gratefully acknowledge the following persons and organizations. – Wolfgang Schwanghart, the programmer of the TopoToolBox for putting his codes as a freeware and for all the kind and always rapid support he offers. – CHC: the Chacaltaya consortium and Laboratory for Atmospheric Physics at UMSA for taking care of the station and collecting the data. Swedish participation was supported by the Swedish Foundation for International Cooperation in Research and Higher Education (STINT) and the Swedish research council FORMAS. – CMN: the European Commission funded ACTRIS, ACTRIS2 EU project and NEXTDATA National project funded by MIUR. – IZO: Global Atmospheric Watch program funded by AEMET and by the project AEROATLAN (CGL2015-66299-P), funded by the Ministry of Economy and Competitiveness of Spain and the European Regional Development Fund (ERDF). – JFJ: International Foundation High Altitude Research Stations Jungfraujoch and Gornergrat (HFSJG) and the Federal Office of Meteorology and Climatology, MeteoSwiss, within the Swiss program of the Global Atmosphere Watch (GAW) of the World Meteorological Organization, funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 654109 (ACTRIS2), and the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract no. 15.0159-1. The opinions expressed and arguments employed herein do not necessarily reflect the official views of the Swiss Government. – LLN: the Taiwan Environmental Protection Administration. – MSA and MSY: MINECO (Spanish Ministry of Economy and Competitiveness), the MAGRAMA (Spanish Ministry of Agriculture, Food and Environment), the Generalitat de Catalunya (AGAUR 2014 SGR33 and the DGQA) and FEDER funds under the PRISMA project (CGL2012-39623-C02/00). This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654109. Marco Pandolfi is funded by a Ramón y Cajal Fellowship (RYC-2013-14036) awarded by the Spanish Ministry of Economy and Competitiveness.
Published: 2018

49. A European-wide 222radon and 222radon progeny comparison study

Author: Schmithuesen, Dominik, Chambers, Scott, Fischer, Bernd, Gilge, Stefan, Hatakka, Juha, Kazan, Victor, Neubert, Rolf, Paatero, Jussi, Ramonet, Michel, Schlosser, Clemens, Schmid, Sabine, Vermeulen, Alex, Levin, Ingeborg, Universiteit Gent = Ghent University [Belgium] (UGENT), DESY, Notkestr 85, D-22607 Hamburg, Germany, Hamburg Ctr Ultrafast Imaging, Luruper Chaussee 149, D-22761 Hamburg, Germany, Univ Hamburg, Inst Phys Chem, Grindelallee 117, D-20146 Hamburg, Germany, Deutscher Wetterdienst [Offenbach] (DWD), Finnish Meteorological Institute (FMI), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ICOS-RAMCES (ICOS-RAMCES), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Technische Universität Berlin (TU), Aalborg University [Denmark] (AAU), Institut für Umweltphysik [Heidelberg], Universität Heidelberg [Heidelberg], Universiteit Gent = Ghent University (UGENT), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Technical University of Berlin / Technische Universität Berlin (TU), Universität Heidelberg [Heidelberg] = Heidelberg University, and Isotope Research
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, VERTICAL-DISTRIBUTION, RADON 222, lcsh:TA715-787, lcsh:Earthwork. Foundations, TRANSPORT, DEPLOYMENT, lcsh:Environmental engineering, VERIFICATION, DECAY PRODUCTS, DETECTORS, CO2, lcsh:TA170-171, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, RN-222 MEASUREMENTS, EMISSIONS, ComputingMilieux_MISCELLANEOUS
Abstract: Although atmospheric 222radon (222Rn) activity concentration measurements are currently performed worldwide, they are being made by many different laboratories and with fundamentally different measurement principles, so compatibility issues can limit their utility for regional-to-global applications. Consequently, we conducted a European-wide 222Rn ∕ 222Rn progeny comparison study in order to evaluate the different measurement systems in use, determine potential systematic biases between them, and estimate correction factors that could be applied to harmonize data for their use as a tracer in atmospheric applications. Two compact portable Heidelberg radon monitors (HRM) were moved around to run for at least 1 month at each of the nine European measurement stations included in this comparison. Linear regressions between parallel data sets were calculated, yielding correction factors relative to the HRM ranging from 0.68 to 1.45. A calibration bias between ANSTO (Australian Nuclear Science and Technology Organisation) two-filter radon monitors and the HRM of ANSTO ∕ HRM = 1.11 ± 0.05 was found. Moreover, for the continental stations using one-filter systems that derive atmospheric 222Rn activity concentrations from measured atmospheric progeny activity concentrations, preliminary 214Po ∕ 222Rn disequilibrium values were also estimated. Mean station-specific disequilibrium values between 0.8 at mountain sites (e.g. Schauinsland) and 0.9 at non-mountain sites for sampling heights around 20 to 30 m above ground level were determined. The respective corrections for calibration biases and disequilibrium derived in this study need to be applied to obtain a compatible European atmospheric 222Rn data set for use in quantitative applications, such as regional model intercomparison and validation or trace gas flux estimates with the radon tracer method.
Published: 2017

50. The Quadrennial Ozone Symposium 2016

Author: Irina Petropavloskikh, Markus Rex, Johanna Tamminen, Gina Mills, Paul A. Newman, Xiangdong Zheng, Richard S. Eckman, Stefan Reis, Sophie Godin-Beekmann, John A. Pyle, Alkis Bais, M.B. Tully, Christos Zerefos, Paul Young, Wolfgang Steinbrecht, Clare Heaviside, Mark Weber, Michelle L. Santee, David Stevenson, STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), Centre for Ecology and Hydrology [Edinburgh] (CEH), Natural Environment Research Council (NERC), University of Exeter Medical School, University of Exeter, NASA Goddard Space Flight Center (GSFC), Meteorologisches Observatorium Hohenpeißenberg (MOHp), Deutscher Wetterdienst [Offenbach] (DWD), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Jet Propulsion Laboratory (JPL), California Institute of Technology (CALTECH)-NASA, NASA Headquarters, Chinese Academy of Meteorological Sciences (CAMS), Australian Bureau of Meteorology [Melbourne] (BoM), Australian Government, School of Geosciences [Edinburgh], University of Edinburgh, Lancaster Environment Centre, Lancaster University, Department of Chemistry [Cambridge, UK], University of Cambridge [UK] (CAM), Institute of Environmental Physics [Bremen] (IUP), University of Bremen, Finnish Meteorological Institute (FMI), Centre for Ecology and Hydrology [Bangor] (CEH), Aristotle University of Thessaloniki, Centre for Radiation, Chemical and Environmental Hazards, Public Health England [London], Research Centre for Atmospheric Physics and Climatology [Athens], Academy of Athens, and NASA-California Institute of Technology (CALTECH)
Subjects: [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], Atmospheric Science, Ozone, 010504 meteorology & atmospheric sciences, Meteorology, business.industry, Environmental resource management, 010502 geochemistry & geophysics, 01 natural sciences, chemistry.chemical_compound, Human health, chemistry, 13. Climate action, Political science, Atmospheric chemistry, Tropospheric ozone, business, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences
Abstract: A 'News & Views' paper. The 2016 Quadrennial Ozone Symposium (QOS-2016) was held on 4–9 September 2016 in Edinburgh, UK. The Symposium was organized by the International Ozone Commission (IO3C), the NERC Centre for Ecology & Hydrology and the University of Edinburgh, and was co-sponsored by the International Union of Geodesy and Geophysics, the International Association of Meteorology and Atmospheric Sciences, and the World Meteorological Organization. More than 300 participants from 39 countries attended. Key topics included: stratospheric and tropospheric ozone observations and modelling; interactions between ozone, atmospheric chemistry and climate; ozone measurement techniques; and effects on human health, ecosystems, and agriculture. Engagement with stakeholders and policymakers was also a key feature.
Published: 2017

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