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1. The northern European shelf as an increasing net sink for CO2

Author: Are Olsen, Christian Rödenbeck, Abdirhaman Omar, Gregor Rehder, Ingunn Skjelvan, Peter Landschützer, and Meike Becker
Subjects: 0106 biological sciences, geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Surface ocean, 010604 marine biology & hydrobiology, Co2 flux, Pelagic zone, 01 natural sciences, Sink (geography), Oceanography, Baltic sea, 13. Climate action, Environmental science, 14. Life underwater, North sea, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Earth-Surface Processes
Abstract: We developed a simple method to refine existing open-ocean maps and extend them towards different coastal seas. Using a multi-linear regression we produced monthly maps of surface ocean fCO2 in the northern European coastal seas (the North Sea, the Baltic Sea, the Norwegian Coast and the Barents Sea) covering a time period from 1998 to 2016. A comparison with gridded Surface Ocean CO2 Atlas (SOCAT) v5 data revealed mean biases and standard deviations of 0 ± 26 µatm in the North Sea, 0 ± 16 µatm along the Norwegian Coast, 0 ± 19 µatm in the Barents Sea and 2 ± 42 µatm in the Baltic Sea. We used these maps to investigate trends in fCO2, pH and air–sea CO2 flux. The surface ocean fCO2 trends are smaller than the atmospheric trend in most of the studied regions. The only exception to this is the western part of the North Sea, where sea surface fCO2 increases by 2 µatm yr−1, which is similar to the atmospheric trend. The Baltic Sea does not show a significant trend. Here, the variability was much larger than the expected trends. Consistently, the pH trends were smaller than expected for an increase in fCO2 in pace with the rise of atmospheric CO2 levels. The calculated air–sea CO2 fluxes revealed that most regions were net sinks for CO2. Only the southern North Sea and the Baltic Sea emitted CO2 to the atmosphere. Especially in the northern regions the sink strength increased during the studied period.
Published: 2021

2. Global Carbon Budget 2021

Author: Nathalie Lefèvre, Thomas Gasser, Bronte Tilbrook, Glen P. Peters, Andy Wiltshire, Eddy Robertson, Frédéric Chevallier, George C. Hurtt, Michael O'Sullivan, Steve D Jones, Kees Klein Goldewijk, Robert B. Jackson, Yosuke Niwa, Benjamin Poulter, Andrew J. Watson, Jan Ivar Korsbakken, Gregor Rehder, T. Chau, Philippe Ciais, Christian Rödenbeck, J. G. Canadell, N. R. Bates, C. Wada, Judith Hauck, Colm Sweeney, Yosuke Iida, Giacomo Grassi, D. Gilfillan, R. Wanninkhof, Thais M. Rosan, Margot Cronin, J. Liu, Peter Anthoni, Robbie M. Andrew, C. Schwingshackl, X. Dou, Ian Harris, T. Ono, Siv K. Lauvset, David R. Willis, Thanos Gkritzalis, Laure Resplandy, C. Le Quéré, N. Vuichard, Gregg Marland, Matthew W. Jones, Richard A. Feely, Patrick C. McGuire, Xu Yue, Pieter P. Tans, Roland Séférian, Liang Feng, Peter Landschützer, Dorothee C. E. Bakker, Julia E. M. S. Nabel, Pierre Friedlingstein, Francesco N. Tubiello, O. Gürses, Sönke Zaehle, Denis Pierrot, G. R. van der Werf, Chao Yue, Arne Körtzinger, Sebastian Lienert, Nicolas Gruber, S. Nakaoka, Jürgen Knauer, D. Kennedy, Luke Gregor, Hanqin Tian, J. Zeng, Wouter Peters, L. Djeutchouang, B. Decharme, Richard A. Houghton, Wenping Yuan, Julia Pongratz, David R. Munro, Atul K. Jain, Joe R. Melton, Nicolas Bellouin, Etsushi Kato, Wiley Evans, Meike Becker, Jörg Schwinger, Toste Tanhua, Laurent Bopp, Tatiana Ilyina, Adrienne J. Sutton, Louise Chini, Kim I. Currie, Ingrid T. Luijkx, Stephen Sitch, and Simone R. Alin
Subjects: 010504 meteorology & atmospheric sciences, 0207 environmental engineering, Biosphere, Biogeochemistry, 02 engineering and technology, 15. Life on land, Atmospheric sciences, 7. Clean energy, 01 natural sciences, Carbon cycle, Atmosphere, chemistry.chemical_compound, chemistry, 13. Climate action, Deforestation, Greenhouse gas, 11. Sustainability, Carbon dioxide, Environmental science, Sink (computing), 020701 environmental engineering, 0105 earth and related environmental sciences
Abstract: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate is critical to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe and synthesize data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFOS) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on land-use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly, and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) is estimated with global ocean biogeochemistry models and observation-based data-products. The terrestrial CO2 sink (SLAND) is estimated with dynamic global vegetation models. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the first time, an approach is shown to reconcile the difference in our ELUC estimate with the one from national greenhouse gases inventories, supporting the assessment of collective countries’ climate progress. For the year 2020, EFOS declined by 5.4 % relative to 2019, with fossil emissions at 9.5 ± 0.5 GtC yr−1 (9.3 ± 0.5 GtC yr−1 when the cement carbonation sink is included), ELUC was 0.9 ± 0.7 GtC yr−1, for a total anthropogenic CO2 emission of 10.2 ± 0.8 GtC yr−1 (37.4 ± 2.9 GtCO2). Also, for 2020, GATM was 5.0 ± 0.2 GtC yr−1 (2.4 ± 0.1 ppm yr−1), SOCEAN was 3.0 ± 0.4 GtC yr−1 and SLAND was 2.9 ± 1 GtC yr−1, with a BIM of −0.8 GtC yr−1. The global atmospheric CO2 concentration averaged over 2020 reached 412.45 ± 0.1 ppm. Preliminary data for 2021, suggest a rebound in EFOS relative to 2020 of +4.9 % (4.1 % to 5.7 %) globally. Overall, the mean and trend in the components of the global carbon budget are consistently estimated over the period 1959–2020, but discrepancies of up to 1 GtC yr−1 persist for the representation of annual to semi-decadal variability in CO2 fluxes. Comparison of estimates from multiple approaches and observations shows: (1) a persistent large uncertainty in the estimate of land-use changes emissions, (2) a low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra- tropics, and (3) a discrepancy between the different methods on the strength of the ocean sink over the last decade. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this data set (Friedlingstein et al., 2020; Friedlingstein et al., 2019; Le Quéré et al., 2018b, 2018a, 2016, 2015b, 2015a, 2014, 2013). The data presented in this work are available at https://doi.org/10.18160/gcp-2021 (Friedlingstein et al., 2021).
Published: 2022

3. Patterns and trends of the dominant environmental controls of net biome productivity

Author: Alessandro Cescatti, Christian Rödenbeck, Mirco Migliavacca, and Barbara Marcolla
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Biome, lcsh:Life, Atmospheric sciences, 010603 evolutionary biology, 01 natural sciences, Sink (geography), Settore BIO/07 - ECOLOGIA, lcsh:QH540-549.5, medicine, Ecosystem, Temporal scales, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Earth-Surface Processes, geography, geography.geographical_feature_category, lcsh:QE1-996.5, Carbon sink, Seasonality, medicine.disease, Arid, lcsh:Geology, lcsh:QH501-531, Environmental science, Terrestrial ecosystem, lcsh:Ecology
Abstract: In the last decades terrestrial ecosystems have reabsorbed on average more than one-quarter of anthropogenic emissions (Le Quéré et al., 2018). However, this large carbon sink is modulated by climate and is therefore highly variable in time and space. The magnitude and temporal changes in the sensitivity of terrestrial CO2 fluxes to climate drivers are key factors to determine future atmospheric CO2 concentration and climate trajectories. In the literature, there is so far a strong focus on the climatic controls of daily and long-term variability, while less is known about the key drivers at a seasonal timescale and about their variation over time (Wohlfahrt et al., 2008). This latter temporal scale is relevant to assess which climatic drivers dominate the seasonality of the fluxes and to understand which factors limit the CO2 exchange during the course of the year. Here, we investigate the global sensitivity of net terrestrial CO2 fluxes, derived from atmospheric inversion, to three key climate drivers (i.e. global radiation and temperature from WFDEI and soil water content from ERA-Interim) from weekly to seasonal temporal scales, in order to explore the short-term interdependence between climate and the terrestrial carbon budget. We observed that the CO2 exchange is controlled by temperature during the carbon uptake period over most of the land surface (from 55 % to 52 % of the total surface), while radiation is the most widespread dominant climate driver during the carbon release period (from 64 % to 70 % of the total surface). As expected, soil water content plays a key role in arid regions of the Southern Hemisphere during both the carbon uptake and the carbon release period. Looking at the decadal trend of these sensitivities (1985–2016) we observed that the importance of radiation as a driver is increasing over time, while we observed a decrease in sensitivity to temperature in Eurasia. Overall, we show that flux temporal variation due to a specific driver has been dominated by the temporal changes in ecosystem sensitivity (i.e. the response of ecosystem to climate) rather than to the temporal variability of the climate driver itself over the last decades. Ultimately, this analysis shows that the ecosystem response to climate is significantly changing both in space and in time, with potential repercussion on the future terrestrial CO2 sink and therefore on the role that land may play in climate trajectories.
Published: 2020

4. Strong Southern Ocean carbon uptake evident in airborne observations

Author: Kathryn McKain, Eric A. Kort, Steven C. Wofsy, Matthew C. Long, Wouter Peters, Britton B. Stephens, J. D. Bent, Ralph F. Keeling, Bruce C. Daube, Ingrid T. Luijkx, Christian Rödenbeck, Michel Ramonet, Prabir K. Patra, Zoe Loh, Colm Sweeney, Pieter P. Tans, Frédéric Chevallier, Ann R. Stavert, Paul B. Krummel, Roisin Commane, David R. Munro, Naveen Chandra, Eric J. Morgan, Isotope Research, 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), 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-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), and 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)
Subjects: 0106 biological sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Multidisciplinary, WIMEK, 010504 meteorology & atmospheric sciences, 010604 marine biology & hydrobiology, Carbon uptake, Luchtkwaliteit, 01 natural sciences, Air Quality, 13. Climate action, Environmental chemistry, Environmental science, Life Science, 14. Life underwater, Astrophysics::Earth and Planetary Astrophysics, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS, Physics::Atmospheric and Oceanic Physics, 0105 earth and related environmental sciences
Abstract: The Southern Ocean plays an important role in determining atmospheric carbon dioxide (CO2), yet estimates of air-sea CO2 flux for the region diverge widely. In this study, we constrained Southern Ocean air-sea CO2 exchange by relating fluxes to horizontal and vertical CO2 gradients in atmospheric transport models and applying atmospheric observations of these gradients to estimate fluxes. Aircraft-based measurements of the vertical atmospheric CO2 gradient provide robust flux constraints. We found an annual mean flux of –0.53 ± 0.23 petagrams of carbon per year (net uptake) south of 45°S during the period 2009–2018. This is consistent with the mean of atmospheric inversion estimates and surface-ocean partial pressure of CO2 (PCO2)–based products, but our data indicate stronger annual mean uptake than suggested by recent interpretations of profiling float observations.
Published: 2021

5. The Community Inversion Framework v1.0: A unified system for atmospheric inversion studies

Author: Rona Thompson, Wouter Peters, Jean-Matthieu Haussaire, Ingrid T. Luijkx, Joël Thanwerdas, Grégoire Broquet, Werner L. Kutsch, Peter Bergamaschi, Richard Engelen, Jacob C. A. van Peet, Audrey Fortems-Cheiney, Christoph Gerbig, Espen Sollum, Philippe Peylin, Christian Rödenbeck, Yuanhong Zhao, Isabelle Pison, Sanne Houweling, Marko Scholze, Adrien Berchet, Elise Potier, Ute Karstens, Paul I. Palmer, Dominik Brunner, Christine Groot Zwaaftink, Aki Tsuruta, Guillaume Monteil, Marielle Saunois, Frédéric Chevallier, Tuula Aalto, Antoine Berchet, Stephan Henne, Earth Sciences, Earth and Climate, 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), Institut Pprime (PPRIME), Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS), The Community Inversion Framework is currently funded by the project (http://verify.lsce.ipsl.fr, last access:23 August 2021), which received funding from the EuropeanUnion’s Horizon 2020 research and innovation programme undergrant agreement no. 776810, European Project: 776810,H2020,H2020-SC5-2017-OneStageB,VERIFY(2018), Isotope Research, 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), Hydrodynamique et Ecoulements Environnementaux (HydEE), Département Fluides, Thermique et Combustion (FTC), Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS)-Institut Pprime (PPRIME), Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS), Norwegian Institute for Air Research (NILU), Finnish Meteorological Institute (FMI), ENSMA-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, European Commission - Joint Research Centre [Ispra] (JRC), Swiss Federal Laboratories for Materials Science and Technology [Dübendorf] (EMPA), European Centre for Medium-Range Weather Forecasts (ECMWF), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Vrije Universiteit Amsterdam [Amsterdam] (VU), Department of Physical Geography and Ecosystem Science [Lund], Lund University [Lund], Integrated Carbon Observation System (ICOS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Meteorology and Air Quality Group, Wageningen University and Research [Wageningen] (WUR), School of Geosciences [Edinburgh], and University of Edinburgh
Subjects: 010504 meteorology & atmospheric sciences, Computer science, [SDE.MCG]Environmental Sciences/Global Changes, 010501 environmental sciences, Luchtkwaliteit, 01 natural sciences, Air Quality, Data assimilation, SDG 13 - Climate Action, Life Science, Leverage (statistics), [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Protocol (object-oriented programming), 0105 earth and related environmental sciences, computer.programming_language, Flexibility (engineering), [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, QE1-996.5, WIMEK, Bayesian optimization, Inversion (meteorology), Geology, Python (programming language), 13. Climate action, Greenhouse gas, Systems engineering, computer
Abstract: Atmospheric inversion approaches are expected to play a critical role in future observation-based monitoring systems for surface fluxes of greenhouse gases (GHGs), pollutants and other trace gases. In the past decade, the research community has developed various inversion software, mainly using variational or ensemble Bayesian optimization methods, with various assumptions on uncertainty structures and prior information and with various atmospheric chemistry–transport models. Each of them can assimilate some or all of the available observation streams for its domain area of interest: flask samples, in situ measurements or satellite observations. Although referenced in peer-reviewed publications and usually accessible across the research community, most systems are not at the level of transparency, flexibility and accessibility needed to provide the scientific community and policy makers with a comprehensive and robust view of the uncertainties associated with the inverse estimation of GHG and reactive species fluxes. Furthermore, their development, usually carried out by individual research institutes, may in the future not keep pace with the increasing scientific needs and technical possibilities. We present here the Community Inversion Framework (CIF) to help rationalize development efforts and leverage the strengths of individual inversion systems into a comprehensive framework. The CIF is primarily a programming protocol to allow various inversion bricks to be exchanged among researchers. In practice, the ensemble of bricks makes a flexible, transparent and open-source Python-based tool to estimate the fluxes of various GHGs and reactive species both at the global and regional scales. It will allow for running different atmospheric transport models, different observation streams and different data assimilation approaches. This adaptability will allow for a comprehensive assessment of uncertainty in a fully consistent framework. We present here the main structure and functionalities of the system, and we demonstrate how it operates in a simple academic case.
Published: 2021

6. Contrasting effects of CO2 fertilization, land-use change and warming on seasonal amplitude of Northern Hemisphere CO2 exchange

Author: Danica Lombardozzi, Yi Yin, Josep Peñuelas, Julia E. M. S. Nabel, Shilong Piao, Zaichun Zhu, Philippe Peylin, Philippe Ciais, Sebastian Lienert, Xuhui Wang, Marcos Fernández-Martínez, Christian Rödenbeck, William K. Smith, Atul K. Jain, Dan Zhu, Etsushi Kato, Ashley P. Ballantyne, Benjamin Poulter, Vanessa Haverd, Ana Bastos, Pierre Friedlingstein, Frédéric Chevallier, Stephen Sitch, and Fabienne Maignan
Subjects: 0303 health sciences, Atmospheric Science, 010504 meteorology & atmospheric sciences, Range (biology), Northern Hemisphere, Vegetation, 15. Life on land, Atmospheric sciences, 01 natural sciences, Latitude, 03 medical and health sciences, Human fertilization, Productivity (ecology), Boreal, 13. Climate action, Environmental science, Land use, land-use change and forestry, 030304 developmental biology, 0105 earth and related environmental sciences
Abstract: Continuous atmospheric CO2 monitoring data indicate an increase in the amplitude of seasonal CO2-cycle exchange (SCANBP) in northern high latitudes. The major drivers of enhanced SCANBP remain unclear and intensely debated, with land-use change, CO2 fertilization and warming being identified as likely contributors. We integrated CO2-flux data from two atmospheric inversions (consistent with atmospheric records) and from 11 state-of-the-art land-surface models (LSMs) to evaluate the relative importance of individual contributors to trends and drivers of the SCANBP of CO2 fluxes for 1980–2015. The LSMs generally reproduce the latitudinal increase in SCANBP trends within the inversions range. Inversions and LSMs attribute SCANBP increase to boreal Asia and Europe due to enhanced vegetation productivity (in LSMs) and point to contrasting effects of CO2 fertilization (positive) and warming (negative) on SCANBP. Our results do not support land-use change as a key contributor to the increase in SCANBP. The sensitivity of simulated microbial respiration to temperature in LSMs explained biases in SCANBP trends, which suggests that SCANBP could help to constrain model turnover times.
Published: 2019

7. Global atmospheric CO2 inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate

Author: Wouter Peters, Britton B. Stephens, Tazu Saeki, Steven C. Wofsy, Eric A. Kort, Prabir K. Patra, Sourish Basu, Christian Rödenbeck, Feng Deng, David S. Schimel, Yi Yin, Frédéric Chevallier, Ingrid T. van der Laan-Luijkx, and Benjamin Gaubert
Subjects: 010504 meteorology & atmospheric sciences, business.industry, Fossil fuel, Northern Hemisphere, Atmospheric carbon cycle, Inversion (meteorology), 04 agricultural and veterinary sciences, 15. Life on land, Atmospheric sciences, 01 natural sciences, Carbon cycle, Flux (metallurgy), 13. Climate action, 040103 agronomy & agriculture, Extratropical cyclone, 0401 agriculture, forestry, and fisheries, Environmental science, Growth rate, business, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Earth-Surface Processes
Abstract: We have compared a suite of recent global CO2 atmospheric inversion results to independent airborne observations and to each other, to assess their dependence on differences in northern extratropical (NET) vertical transport and to identify some of the drivers of model spread. We evaluate posterior CO2 concentration profiles against observations from the High-Performance Instrumented Airborne Platform for Environmental Research (HIAPER) Pole-to-Pole Observations (HIPPO) aircraft campaigns over the mid-Pacific in 2009–2011. Although the models differ in inverse approaches, assimilated observations, prior fluxes, and transport models, their broad latitudinal separation of land fluxes has converged significantly since the Atmospheric Carbon Cycle Inversion Intercomparison (TransCom 3) and the REgional Carbon Cycle Assessment and Processes (RECCAP) projects, with model spread reduced by 80 % since TransCom 3 and 70 % since RECCAP. Most modeled CO2 fields agree reasonably well with the HIPPO observations, specifically for the annual mean vertical gradients in the Northern Hemisphere. Northern Hemisphere vertical mixing no longer appears to be a dominant driver of northern versus tropical (T) annual flux differences. Our newer suite of models still gives northern extratropical land uptake that is modest relative to previous estimates (Gurney et al., 2002; Peylin et al., 2013) and near-neutral tropical land uptake for 2009–2011. Given estimates of emissions from deforestation, this implies a continued uptake in intact tropical forests that is strong relative to historical estimates (Gurney et al., 2002; Peylin et al., 2013). The results from these models for other time periods (2004–2014, 2001–2004, 1992–1996) and re-evaluation of the TransCom 3 Level 2 and RECCAP results confirm that tropical land carbon fluxes including deforestation have been near neutral for several decades. However, models still have large disagreements on ocean–land partitioning. The fossil fuel (FF) and the atmospheric growth rate terms have been thought to be the best-known terms in the global carbon budget, but we show that they currently limit our ability to assess regional-scale terrestrial fluxes and ocean–land partitioning from the model ensemble.
Published: 2019

8. SeaFlux: harmonization of air–sea CO2 fluxes from surface pCO2 data products using a standardized approach

Author: Peter Landschützer, Alizee Roobaert, Goulven Gildas Laruelle, Nicolas Gruber, Jiye Zeng, Christian Rödenbeck, Yosuke Iida, Marion Gehlen, Luke Gregor, Amanda R. Fay, Galen A. McKinley, Department of Earth and Environmental Sciences [New York], Columbia University [New York], Institute of Biogeochemistry and Pollutant Dynamics [ETH Zürich] (IBP), Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), 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), and 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)
Subjects: 0106 biological sciences, Surface (mathematics), 010504 meteorology & atmospheric sciences, Data products, 010604 marine biology & hydrobiology, Standardized approach, chemistry.chemical_element, Atmospheric sciences, 01 natural sciences, Carbon cycle, Atmosphere, chemistry.chemical_compound, Flux (metallurgy), chemistry, 13. Climate action, [SDU]Sciences of the Universe [physics], Carbon dioxide, General Earth and Planetary Sciences, Environmental science, 14. Life underwater, Carbon, 0105 earth and related environmental sciences
Abstract: Air–sea flux of carbon dioxide (CO2) is a critical component of the global carbon cycle and the climate system with the ocean removing about a quarter of the CO2 emitted into the atmosphere by human activities over the last decade. A common approach to estimate this net flux of CO2 across the air–sea interface is the use of surface ocean CO2 observations and the computation of the flux through a bulk parameterization approach. Yet, the details for how this is done in order to arrive at a global ocean CO2 uptake estimate vary greatly, enhancing the spread of estimates. Here we introduce the ensemble data product, SeaFlux (Gregor and Fay, 2021, https://doi.org/10.5281/zenodo.5482547, https://github.com/luke-gregor/pySeaFlux, last access: 9 September 2021); this resource enables users to harmonize an ensemble of products that interpolate surface ocean CO2 observations to near-global coverage with a common methodology to fill in missing areas in the products. Further, the dataset provides the inputs to calculate fluxes in a consistent manner. Utilizing six global observation-based mapping products (CMEMS-FFNN, CSIR-ML6, JENA-MLS, JMA-MLR, MPI-SOMFFN, NIES-FNN), the SeaFlux ensemble approach adjusts for methodological inconsistencies in flux calculations. We address differences in spatial coverage of the surface ocean CO2 between the mapping products, which ultimately yields an increase in CO2 uptake of up to 17 % for some products. Fluxes are calculated using three wind products (CCMPv2, ERA5, and JRA55). Application of a scaled gas exchange coefficient has a greater impact on the resulting flux than solely the choice of wind product. With these adjustments, we present an ensemble of global surface ocean pCO2 and air–sea carbon flux estimates. This work aims to support the community effort to perform model–data intercomparisons which will help to identify missing fluxes as we strive to close the global carbon budget.
Published: 2021

9. Decadal variability in land carbon sink efficiency

Author: Lei Zhu, Philippe Ciais, Ana Bastos, Frédéric Chevallier, Julia Pongratz, Ashley P. Ballantyne, Christian Rödenbeck, Wei Li, Thomas Gasser, Masayuki Kondo, Tsinghua University [Beijing] (THU), 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-ATC (ICOS-ATC), 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)), 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), Ludwig-Maximilians-Universität München (LMU), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), International Institute for Applied Systems Analysis [Laxenburg] (IIASA), Nagoya University, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Max Planck Institute for Biogeochemistry (MPI-BGC), This study is supported by the National Key R&D Program of China (Grant Number 2019YFA0606604, This work is also partly supported by the European Space Agency Climate Change Initiative ESA‐CCI RECCAP2 project (ESRIN/ 4000123002/18/I‐NB), ANR-16-CONV-0003,CLAND,CLAND : Changement climatique et usage des terres(2016), European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), 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), and 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)
Subjects: 010504 meteorology & atmospheric sciences, Pinatubo eruption, Management, Monitoring, Policy and Law, Atmospheric sciences, 01 natural sciences, Sink (geography), Carbon neutrality, 03 medical and health sciences, Earth and Planetary Sciences (miscellaneous), GE1-350, Ecosystem, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Trend reversal, 030304 developmental biology, 0105 earth and related environmental sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, 0303 health sciences, Global and Planetary Change, geography, geography.geographical_feature_category, business.industry, Research, Fossil fuel, Carbon sink, Tropics, 15. Life on land, Land carbon sink efficiency, Environmental sciences, Climate change mitigation, 13. Climate action, General Earth and Planetary Sciences, Environmental science, business
Abstract: Background The climate mitigation target of limiting the temperature increase below 2 °C above the pre-industrial levels requires the efforts from all countries. Tracking the trajectory of the land carbon sink efficiency is thus crucial to evaluate the nationally determined contributions (NDCs). Here, we define the instantaneous land sink efficiency as the ratio of natural land carbon sinks to emissions from fossil fuel and land-use and land-cover change with a value of 1 indicating carbon neutrality to track its temporal dynamics in the past decades. Results Land sink efficiency has been decreasing during 1957–1990 because of the increased emissions from fossil fuel. After the effect of the Mt. Pinatubo eruption diminished (after 1994), the land sink efficiency firstly increased before 2009 and then began to decrease again after 2009. This reversal around 2009 is mostly attributed to changes in land sinks in tropical regions in response to climate variations. Conclusions The decreasing trend of land sink efficiency in recent years reveals greater challenges in climate change mitigation, and that climate impacts on land carbon sinks must be accurately quantified to assess the effectiveness of regional scale climate mitigation policies.
Published: 2020

10. The European carbon cycle response to heat and drought as seen from atmospheric CO(2)data for 1999-2018

Author: Christian Rödenbeck, Martin Heimann, Sönke Zaehle, Ralph F. Keeling, and Institute for Atmospheric and Earth System Research (INAR)
Subjects: 0106 biological sciences, geography, FLUXES, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, net ecosystem exchange, interannual variability, drought, 15. Life on land, Atmospheric sciences, 01 natural sciences, 114 Physical sciences, General Biochemistry, Genetics and Molecular Biology, Carbon cycle, 13. Climate action, Net ecosystem exchange, Spring (hydrology), Environmental science, CO2, INVERSION, Natural ecosystem, atmospheric inversion, General Agricultural and Biological Sciences, 010606 plant biology & botany, 0105 earth and related environmental sciences
Abstract: In 2018, central and northern parts of Europe experienced heat and drought conditions over many months from spring to autumn, strongly affecting both natural ecosystems and crops. Besides their impact on nature and society, events like this can be used to study the impact of climate variations on the terrestrial carbon cycle, which is an important determinant of the future climate trajectory. Here, variations in the regional net ecosystem exchange (NEE) of CO 2 between terrestrial ecosystems and the atmosphere were quantified from measurements of atmospheric CO 2 mole fractions. Over Europe, several observational records have been maintained since at least 1999, giving us the opportunity to assess the 2018 anomaly in the context of at least two decades of variations, including the strong climate anomaly in 2003. In addition to an atmospheric inversion with temporally explicitly estimated anomalies, we use an inversion based on empirical statistical relations between anomalies in the local NEE and anomalies in local climate conditions. For our analysis period 1999–2018, we find that higher-than-usual NEE in hot and dry summers may tend to arise in Central Europe from enhanced ecosystem respiration due to the elevated temperatures, and in Southern Europe from reduced photosynthesis due to the reduced water availability. Despite concerns in the literature, the level of agreement between regression-based NEE anomalies and temporally explicitly estimated anomalies indicates that the atmospheric CO 2 measurements from the relatively dense European station network do provide information about the year-to-year variations of Europe’s carbon sources and sinks, at least in summer. This article is part of the theme issue ‘Impacts of the 2018 severe drought and heatwave in Europe: from site to continental scale’.
Published: 2020

11. Consistency and Challenges in the Ocean Carbon Sink Estimate for the Global Carbon Budget

Author: Judith Hauck, Moritz Zeising, Corinne Le Quéré, Nicolas Gruber, Dorothee C. E. Bakker, Laurent Bopp, Thi Tuyet Trang Chau, Özgür Gürses, Tatiana Ilyina, Peter Landschützer, Andrew Lenton, Laure Resplandy, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), University of East Anglia [Norwich] (UEA), Institute of Biogeochemistry and Pollutant Dynamics [ETH Zürich] (IBP), Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), 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), 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), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), 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), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Princeton Environmental Institute [Princeton University] (PEI), Princeton University, Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), 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 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), 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), and ANR-16-CE01-0014,SOBUMS,Comprendre la réponse du cycle du carbone dans l'océan austral au stress climatique(2016)
Subjects: 0106 biological sciences, Biogeochemical cycle, lcsh:QH1-199.5, 010504 meteorology & atmospheric sciences, Surface ocean, Ocean Engineering, lcsh:General. Including nature conservation, geographical distribution, Aquatic Science, ocean carbon uptake, Oceanography, Atmospheric sciences, 01 natural sciences, Standard deviation, Sink (geography), 14. Life underwater, lcsh:Science, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, 0105 earth and related environmental sciences, Water Science and Technology, riverine carbon flux, Global and Planetary Change, geography, geography.geographical_feature_category, 010604 marine biology & hydrobiology, Carbon sink, anthropogenic CO2, ocean carbon cycle model evaluation, Carbon project, variability of the ocean carbon sink, 13. Climate action, seasonal cycle, Environmental science, lcsh:Q, Seasonal cycle
Abstract: International audience; Based on the 2019 assessment of the Global Carbon Project, the ocean took up on average, 2.5 ± 0.6 PgC yr−1 or 23 ± 5% of the total anthropogenic CO2 emissions over the decade 2009–2018. This sink estimate is based on simulation results from global ocean biogeochemical models (GOBMs) and is compared to data-products based on observations of surface ocean pCO2 (partial pressure of CO2) accounting for the outgassing of river-derived CO2. Here we evaluate the GOBM simulations by comparing the simulated surface ocean pCO2 to observations. Based on this comparison, the simulations are well-suited for quantifying the global ocean carbon sink on the time-scale of the annual mean and its multi-decadal trend (RMSE
Published: 2020

12. The ECCO‐Darwin data‐assimilative global ocean biogeochemistry model: Estimates of seasonal to multi‐decadal surface ocean pCO2 and air‐sea CO2 flux

Author: Junjie Liu, Ian Fenty, Chris Hill, D. Schimel, Christian Rödenbeck, Michelle M. Gierach, Hong Zhang, Dustin Carroll, T. Van der Stocken, Oliver Jahn, Peter Landschützer, John D. Naviaux, M. Manizza, Jess F. Adkins, Dimitris Menemenlis, Stephanie Dutkiewicz, Kevin W. Bowman, Holger Brix, and Jonathan Maitland Lauderdale
Subjects: sea CO2 flux, Biogeochemical cycle, Physical geography, air&#8208, 010504 meteorology & atmospheric sciences, air‐sea CO2 flux, Biome, ecosystem model, GC1-1581, 010502 geochemistry & geophysics, Atmospheric sciences, Oceanography, 01 natural sciences, Ecosystem model, biogeochemistry, Environmental Chemistry, ocean modeling, Marine ecosystem, 14. Life underwater, data assimilation, 0105 earth and related environmental sciences, Global and Planetary Change, Ocean current, Biogeochemistry, Carbon sink, GB3-5030, 13. Climate action, General Earth and Planetary Sciences, Oceanic carbon cycle, ocean carbon cycle
Abstract: Quantifying variability in the ocean carbon sink remains problematic due to sparse observations and spatiotemporal variability in surface ocean pCO2. To address this challenge, we have updated and improved ECCO‐Darwin, a global ocean biogeochemistry model that assimilates both physical and biogeochemical observations. The model consists of an adjoint‐based ocean circulation estimate from the Estimating the Circulation and Climate of the Ocean (ECCO) consortium and an ecosystem model developed by the Massachusetts Institute of Technology Darwin Project. In addition to the data‐constrained ECCO physics, a Green's function approach is used to optimize the biogeochemistry by adjusting initial conditions and six biogeochemical parameters. Over seasonal to multidecadal timescales (1995–2017), ECCO‐Darwin exhibits broad‐scale consistency with observed surface ocean pCO2 and air‐sea CO2 flux reconstructions in most biomes, particularly in the subtropical and equatorial regions. The largest differences between CO2 uptake occur in subpolar seasonally stratified biomes, where ECCO‐Darwin results in stronger winter uptake. Compared to the Global Carbon Project OBMs, ECCO‐Darwin has a time‐mean global ocean CO2 sink (2.47 ± 0.50 Pg C year−1) and interannual variability that are more consistent with interpolation‐based products. Compared to interpolation‐based methods, ECCO‐Darwin is less sensitive to sparse and irregularly sampled observations. Thus, ECCO‐Darwin provides a basis for identifying and predicting the consequences of natural and anthropogenic perturbations to the ocean carbon cycle, as well as the climate‐related sensitivity of marine ecosystems. Our study further highlights the importance of physically consistent, property‐conserving reconstructions, as are provided by ECCO, for ocean biogeochemistry studies.
Published: 2020

13. Sources of Uncertainty in Regional and Global Terrestrial CO 2 Exchange Estimates

Author: Julia E. M. S. Nabel, Anthony P. Walker, Danica Lombardozzi, Naomi E. Smith, B. Poulter, Stephen Sitch, Christian Rödenbeck, Ingrid T. Luijkx, Sönke Zaehle, Frédéric Chevallier, Wei Li, J. G. Canadell, Atul K. Jain, Etsushi Kato, P. Ciais, Wouter Peters, P. Peylin, Sebastian Lienert, Daniel S. Goll, V. Haverd, Pierre Friedlingstein, Prabir K. Patra, Ronny Lauerwald, Hanqin Tian, Julia Pongratz, Michael O'Sullivan, David Makowski, Ana Bastos, College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS), University of Exeter, LUDWIG MAXIMILIANS UNIVERSITAT MUNCHEN DEPARTMENT OF GEOGRAPHY MUNICH DEU, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), 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), Agronomie, AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), College of Life and Environmental Sciences [Exeter], Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Max-Planck-Institut für Biogeochemie (MPI-BGC), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, WUR - Wageningen University and Research Centre [Wageningen], Research Institute for Global Change (RIGC), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), CSIRO Oceans and Atmosphere, CISRO Oceans and Atmosphere, Department of Geosciences, Environment and Society, Université libre de Bruxelles (ULB), Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Wageningen University and Research [Wageningen] (WUR), Centre for Isotope Research [Groningen] (CIO), University of Groningen [Groningen], Department of Geography, University of Augsburg, Department of Atmospheric Sciences [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Institute of Applied Energy (IAE), Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern]-Universität Bern [Bern], CLIMATE AND GLOBAL DYNAMICS LABORATORY NATIONAL CENTER FOR ATMOSPHERIC RESEARCH BOULDER USA, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Biospheric Sciences Laboratory, NASA Goddard Space Flight Center (GSFC), INTERNATIONAL CENTER FOR CLIMATE AND GLOBAL CHANGE RESEARCH AUBURN UNIVERSITY AUBURN USA, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Max Planck Institute for Biogeochemistry (MPI-BGC), European Comission. Grant Numbers: ASICA (649087), IMBALANCE-P European Space Agency (ESA). Grant Number: ESRIN/ 4000123002/18/I-NB National Science Foundation (NSF). Grant Number: AGS 12-43071 U.S. Department of Energy (DOE). Grant Number: DESC0016323, 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), Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), 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), ANR-16-CONV-0003,CLAND,CLAND : Changement climatique et usage des terres(2016), and Isotope Research
Subjects: 0106 biological sciences, Meteorologie en Luchtkwaliteit, FLUXES, Atmospheric Science, 010504 meteorology & atmospheric sciences, Meteorology and Air Quality, Biome, BURNED AREA PRODUCT, atmospheric inversions, 01 natural sciences, Carbon cycle, DATA ASSIMILATION, Data assimilation, PLANT FUNCTIONAL TYPES, global carbon budget, carbon cycle, Environmental Chemistry, Land use, land-use change and forestry, ATMOSPHERIC CO2, 0105 earth and related environmental sciences, General Environmental Science, ddc:910, LAND-COVER CHANGE, Global and Planetary Change, WIMEK, FOSSIL-FUEL, Land use, business.industry, 010604 marine biology & hydrobiology, VEGETATION MODEL ORCHIDEE, Fossil fuel, Vegetation, 15. Life on land, CARBON-DIOXIDE EMISSIONS, 13. Climate action, Climatology, [SDE]Environmental Sciences, dynamic global vegetation models, Environmental science, business, Scale (map), INCORPORATING SPITFIRE
Abstract: The Global Carbon Budget 2018 (GCB2018) estimated by the atmospheric CO2 growth rate, fossil fuel emissions, and modeled (bottom-up) land and ocean fluxes cannot be fully closed, leading to a “budget imbalance,” highlighting uncertainties in GCB components. However, no systematic analysis has been performed on which regions or processes contribute to this term. To obtain deeper insight on the sources of uncertainty in global and regional carbon budgets, we analyzed differences in Net Biome Productivity (NBP) for all possible combinations of bottom-up and top-down data sets in GCB2018: (i) 16 dynamic global vegetation models (DGVMs), and (ii) 5 atmospheric inversions that match the atmospheric CO2 growth rate. We find that the global mismatch between the two ensembles matches well the GCB2018 budget imbalance, with Brazil, Southeast Asia, and Oceania as the largest contributors. Differences between DGVMs dominate global mismatches, while at regional scale differences between inversions contribute the most to uncertainty. At both global and regional scales, disagreement on NBP interannual variability between the two approaches explains a large fraction of differences. We attribute this mismatch to distinct responses to El Niño–Southern Oscillation variability between DGVMs and inversions and to uncertainties in land use change emissions, especially in South America and Southeast Asia. We identify key needs to reduce uncertainty in carbon budgets: reducing uncertainty in atmospheric inversions (e.g., through more observations in the tropics) and in land use change fluxes, including more land use processes and evaluating land use transitions (e.g., using high-resolution remote-sensing), and, finally, improving tropical hydroecological processes and fire representation within DGVMs.
Published: 2020

14. Changes in net ecosystem exchange over Europe during the 2018 drought based on atmospheric observations

Author: E. van Schaik, Ute Karstens, Rona Thompson, Saqr Munassar, Michel Ramonet, Alecia Nickless, Christian Rödenbeck, Guillaume Monteil, Grégoire Broquet, Thomas Koch, Christoph Gerbig, Marko Scholze, Zhendong Wu, Matthew Lang, 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), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), 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), ICOS-RAMCES (ICOS-RAMCES), European Project: 776810,H2020,H2020-SC5-2017-OneStageB,VERIFY(2018), 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), and 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)
Subjects: 0106 biological sciences, Meteorologie en Luchtkwaliteit, 010504 meteorology & atmospheric sciences, Meteorology and Air Quality, net ecosystem exchange, drought, Atmospheric sciences, 01 natural sciences, General Biochemistry, Genetics and Molecular Biology, Carbon Cycle, Temperate climate, atmospheric inversion, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Ecosystem, 0105 earth and related environmental sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Atmosphere, 010604 marine biology & hydrobiology, Anomaly (natural sciences), atmospheric tracer transport modelling, Vegetation, Articles, 15. Life on land, Carbon, Droughts, Europe, 13. Climate action, Net ecosystem exchange, Soil water, Environmental science, General Agricultural and Biological Sciences, Research Article
Abstract: The 2018 drought was one of the worst European droughts of the twenty-first century in terms of its severity, extent and duration. The effects of the drought could be seen in a reduction in harvest yields in parts of Europe, as well as an unprecedented browning of vegetation in summer. Here, we quantify the effect of the drought on net ecosystem exchange (NEE) using five independent regional atmospheric inversion frameworks. Using a network of atmospheric CO 2 mole fraction observations, we estimate NEE with at least monthly and 0.5° × 0.5° resolution for 2009–2018. We find that the annual NEE in 2018 was likely more positive (less CO 2 uptake) in the temperate region of Europe by 0.09 ± 0.06 Pg C yr −1 (mean ± s.d.) compared to the mean of the last 10 years of −0.08 ± 0.17 Pg C yr −1 , making the region close to carbon neutral in 2018. Similarly, we find a positive annual NEE anomaly for the northern region of Europe of 0.02 ± 0.02 Pg C yr −1 compared the 10-year mean of −0.04 ± 0.05 Pg C yr −1 . In both regions, this was largely owing to a reduction in the summer CO 2 uptake. The positive NEE anomalies coincided spatially and temporally with negative anomalies in soil water. These anomalies were exceptional for the 10-year period of our study. This article is part of the theme issue ‘Impacts of the 2018 severe drought and heatwave in Europe: from site to continental scale’.
Published: 2020

15. State of the science in reconciling top‐down and bottom‐up approaches for terrestrial CO 2 budget

Author: Benjamin Poulter, Ana Bastos, Sebastian Lienert, Leonardo Calle, Dan Zhu, Christian Rödenbeck, Masayuki Kondo, Markus Kautz, Philippe Ciais, Kazuhito Ichii, Ruslan Zhuravlev, Rachel M. Law, Prabir K. Patra, Takashi Nakamura, Vanessa Haverd, Pierre Friedlingstein, Takashi Maki, Ronny Lauerwald, Philippe Peylin, Josep G. Canadell, Atul K. Jain, Stephen Sitch, Hanqin Tian, Tazu Saeki, Etsushi Kato, Danica Lombardozzi, Peter Anthoni, Tilo Ziehn, Almut Arneth, Frédéric Chevallier, College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS), University of Exeter, NASA Goddard Space Flight Center (GSFC), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), 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)-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), 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), and 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)
Subjects: 0106 biological sciences, Biosphere model, 010504 meteorology & atmospheric sciences, land-use change emissions, 010603 evolutionary biology, 01 natural sciences, Sink (geography), Forest regrowth, Environmental Chemistry, net CO2 flux, East Asia, atmospheric inversion, State of the science, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, riverine carbon export, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, General Environmental Science, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Global and Planetary Change, geography, geography.geographical_feature_category, Ecology, biosphere model, Biosphere, Top-down and bottom-up design, 15. Life on land, terrestrial CO2 budget, Boreal, 13. Climate action, carbon stock change, Climatology, [SDE]Environmental Sciences, Environmental science, residual land uptake, CO2 evasion
Abstract: International audience; Robust estimates of CO2 budget, CO2 exchanged between the atmosphere and terrestrial biosphere, are necessary to better understand the role of the terrestrial biosphere in mitigating anthropogenic CO2 emissions. Over the past decade, this field of research has advanced through understanding of the differences and similarities of two fundamentally different approaches: “top-down” atmospheric inversions and “bottom-up” biosphere models. Since the first studies were undertaken, these approaches have shown an increasing level of agreement, but disagreements in some regions still persist, in part because they do not estimate the same quantity of atmosphere–biosphere CO2 exchange. Here, we conducted a thorough comparison of CO2 budgets at multiple scales and from multiple methods to assess the current state of the science in estimating CO2 budgets. Our set of atmospheric inversions and biosphere models, which were adjusted for a consistent flux definition, showed a high level of agreement for global and hemispheric CO2 budgets in the 2000s. Regionally, improved agreement in CO2 budgets was notable for North America and Southeast Asia. However, large gaps between the two methods remained in East Asia and South America. In other regions, Europe, boreal Asia, Africa, South Asia, and Oceania, it was difficult to determine whether those regions act as a net sink or source because of the large spread in estimates from atmospheric inversions. These results highlight two research directions to improve the robustness of CO2 budgets: (a) to increase representation of processes in biosphere models that could contribute to fill the budget gaps, such as forest regrowth and forest degradation; and (b) to reduce sink–source compensation between regions (dipoles) in atmospheric inversion so that their estimates become more comparable. Advancements on both research areas will increase the level of agreement between the top-down and bottom-up approaches and yield more robust knowledge of regional CO2 budgets.
Published: 2020

16. Spring photosynthetic onset and net <scp>CO</scp> 2 uptake in Alaska triggered by landscape thawing

Author: Josh Benmergui, K. A. Luus, Junjie Liu, Thomas A. M. Pugh, Charles E. Miller, Nicholas C. Parazoo, Randy Kawa, Christian Rödenbeck, Roisin Commane, Walter C. Oechel, Kyle A. Arndt, Eugénie S. Euskirchen, Donatella Zona, N. Steiner, Almut Arneth, Ben Smith, and Eric Stofferahn
Subjects: 0106 biological sciences, Global and Planetary Change, 010504 meteorology & atmospheric sciences, Ecology, Taiga, Eddy covariance, 15. Life on land, Evergreen, Atmospheric sciences, 01 natural sciences, Subarctic climate, Tundra, Carbon cycle, Boreal, 13. Climate action, Environmental Chemistry, Environmental science, Ecosystem, 010606 plant biology & botany, 0105 earth and related environmental sciences, General Environmental Science
Abstract: The springtime transition to regional-scale onset of photosynthesis and net ecosystem carbon uptake in boreal and tundra ecosystems are linked to the soil freeze-thaw state. We present evidence from diagnostic and inversion models constrained by satellite fluorescence and airborne CO2 from 2012 to 2014 indicating the timing and magnitude of spring carbon uptake in Alaska correlates with landscape thaw and ecoregion. Landscape thaw in boreal forests typically occurs in late April (DOY 111 ± 7) with a 29 ± 6 day lag until photosynthetic onset. North Slope tundra thaws 3 weeks later (DOY 133 ± 5) but experiences only a 20 ± 5 day lag until photosynthetic onset. These time lag differences reflect efficient cold season adaptation in tundra shrub and the longer dehardening period for boreal evergreens. Despite the short transition from thaw to photosynthetic onset in tundra, synchrony of tundra respiration with snow melt and landscape thaw delays the transition from net carbon loss (at photosynthetic onset) to net uptake by 13 ± 7 days, thus reducing the tundra net carbon uptake period. Two global CO2 inversions using a CASA-GFED model prior estimate earlier northern high latitude net carbon uptake compared to our regional inversion, which we attribute to (i) early photosynthetic-onset model prior bias, (ii) inverse method (scaling factor + optimization window), and (iii) sparsity of available Alaskan CO2 observations. Another global inversion with zero prior estimates the same timing for net carbon uptake as the regional model but smaller seasonal amplitude. The analysis of Alaskan eddy covariance observations confirms regional scale findings for tundra, but indicates that photosynthesis and net carbon uptake occur up to 1 month earlier in evergreens than captured by models or CO2 inversions, with better correlation to above-freezing air temperature than date of primary thaw. Further collection and analysis of boreal evergreen species over multiple years and at additional subarctic flux towers are critically needed.
Published: 2018

17. Technical Note: Atmospheric CO2 inversions on the mesoscale using data-driven prior uncertainties: methodology and system evaluation

Author: Panagiotis Kountouris, Christian Rödenbeck, Martin Heimann, Ute Karstens, Thomas Koch, and Christoph Gerbig
Subjects: 0106 biological sciences, Atmospheric Science, 010504 meteorology & atmospheric sciences, Correlation coefficient, 010604 marine biology & hydrobiology, Mesoscale meteorology, Inversion (meteorology), Inverse problem, Residual, Atmospheric sciences, 01 natural sciences, 13. Climate action, Temporal resolution, Environmental science, Temporal scales, Image resolution, 0105 earth and related environmental sciences
Abstract: Atmospheric inversions are widely used in the optimization of surface carbon fluxes on a regional scale using information from atmospheric CO2 dry mole fractions. In many studies the prior flux uncertainty applied to the inversion schemes does not directly reflect the true flux uncertainties but is used to regularize the inverse problem. Here, we aim to implement an inversion scheme using the Jena inversion system and applying a prior flux error structure derived from a model–data residual analysis using high spatial and temporal resolution over a full year period in the European domain. We analyzed the performance of the inversion system with a synthetic experiment, in which the flux constraint is derived following the same residual analysis but applied to the model–model mismatch. The synthetic study showed a quite good agreement between posterior and true fluxes on European, country, annual and monthly scales. Posterior monthly and country-aggregated fluxes improved their correlation coefficient with the known truth by 7 % compared to the prior estimates when compared to the reference, with a mean correlation of 0.92. The ratio of the SD between the posterior and reference and between the prior and reference was also reduced by 33 % with a mean value of 1.15. We identified temporal and spatial scales on which the inversion system maximizes the derived information; monthly temporal scales at around 200 km spatial resolution seem to maximize the information gain.
Published: 2018

18. Constraints on oceanic meridional heat transport from combined measurements of oxygen and carbon

Author: Ralph F. Keeling, J. D. Bent, Britton B. Stephens, Andrew R. Jacobson, Laure Resplandy, S. Khatiwala, and Christian Rödenbeck
Subjects: Atmospheric Science, 010504 meteorology & atmospheric sciences, 010505 oceanography, media_common.quotation_subject, Climate system, Northern Hemisphere, chemistry.chemical_element, Zonal and meridional, Atmospheric sciences, 01 natural sciences, Asymmetry, Oxygen, Troposphere, chemistry, Climatology, Environmental science, Hydrography, Carbon, 0105 earth and related environmental sciences, media_common
Abstract: Despite its importance to the climate system, the ocean meridional heat transport is still poorly quantified. We identify a strong link between the northern hemisphere deficit in atmospheric potential oxygen (APO = O $$_2$$ + 1.1 $$\times$$ CO $$_2$$ ) and the asymmetry in meridional heat transport between northern and southern hemispheres. The recent aircraft observations from the HIPPO campaign reveal a northern APO deficit in the tropospheric column of $$-$$ 10.4 $$\pm$$ 1.0 per meg, double the value at the surface and more representative of large-scale air–sea fluxes. The global northward ocean heat transport asymmetry necessary to explain the observed APO deficit is about 0.7–1.1 PW, which corresponds to the upper range of estimates from hydrographic sections and atmospheric reanalyses.
Published: 2018

19. Increasing summer net CO2 uptake in high northern ecosystems inferred from atmospheric inversions and comparisons to remote-sensing NDVI

Author: Christian Rödenbeck, Jian Bi, Ralph F. Keeling, Lisa R. Welp, Rama Nemani, Stephen C. Piper, and Prabir K. Patra
Subjects: 0106 biological sciences, Atmospheric Science, 010504 meteorology & atmospheric sciences, Taiga, Permafrost, 010603 evolutionary biology, 01 natural sciences, Normalized Difference Vegetation Index, Tundra, Latitude, Boreal, Climatology, Soil water, Environmental science, Ecosystem, 0105 earth and related environmental sciences
Abstract: Warmer temperatures and elevated atmospheric CO2 concentrations over the last several decades have been credited with increasing vegetation activity and photosynthetic uptake of CO2 from the atmosphere in the high northern latitude ecosystems: the boreal forest and arctic tundra. At the same time, soils in the region have been warming, permafrost is melting, fire frequency and severity are increasing, and some regions of the boreal forest are showing signs of stress due to drought or insect disturbance. The recent trends in net carbon balance of these ecosystems, across heterogeneous disturbance patterns, and the future implications of these changes are unclear. Here, we examine CO2 fluxes from northern boreal and tundra regions from 1985 to 2012, estimated from two atmospheric inversions (RIGC and Jena). Both used measured atmospheric CO2 concentrations and wind fields from interannually variable climate reanalysis. In the arctic zone, the latitude region above 60° N excluding Europe (10° W–63° E), neither inversion finds a significant long-term trend in annual CO2 balance. The boreal zone, the latitude region from approximately 50–60° N, again excluding Europe, showed a trend of 8–11 Tg C yr−2 over the common period of validity from 1986 to 2006, resulting in an annual CO2 sink in 2006 that was 170–230 Tg C yr−1 larger than in 1986. This trend appears to continue through 2012 in the Jena inversion as well. In both latitudinal zones, the seasonal amplitude of monthly CO2 fluxes increased due to increased uptake in summer, and in the arctic zone also due to increased fall CO2 release. These findings suggest that the boreal zone has been maintaining and likely increasing CO2 sink strength over this period, despite browning trends in some regions and changes in fire frequency and land use. Meanwhile, the arctic zone shows that increased summer CO2 uptake, consistent with strong greening trends, is offset by increased fall CO2 release, resulting in a net neutral trend in annual fluxes. The inversion fluxes from the arctic and boreal zones covering the permafrost regions showed no indication of a large-scale positive climate–carbon feedback caused by warming temperatures on high northern latitude terrestrial CO2 fluxes from 1985 to 2012.
Published: 2016

20. Enhanced seasonal CO 2 exchange caused by amplified plant productivity in northern ecosystems

Author: Christian Rödenbeck, Sönke Zaehle, Nuno Carvalhais, Ralph F. Keeling, Markus Reichstein, Matthias Forkel, Kirsten Thonicke, and Martin Heimann
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Climate Change, Climate change, chemistry.chemical_element, Photosynthesis, 01 natural sciences, Carbon Cycle, Latitude, Carbon cycle, chemistry.chemical_compound, Ecosystem, 0105 earth and related environmental sciences, Multidisciplinary, Atmosphere, Ecology, Vegetation, Carbon Dioxide, Plants, 15. Life on land, chemistry, 13. Climate action, Carbon dioxide, Environmental science, Seasons, Carbon, Environmental Monitoring, 010606 plant biology & botany
Abstract: Warming making bigger CO 2 swings The combined effects of climate change and vegetation dynamics at high northern latitudes have amplified the seasonal variation of atmospheric CO 2 concentrations over the past half century. Forkel et al. combined observations and models to show that climate warming has caused the photosynthetic uptake of carbon to increase faster than its respiratory release from the terrestrial biosphere. This has increased the difference from summer to winter, as well as the latitudinal gradient. Because of the physiological limitations to carbon uptake by terrestrial vegetation, this negative feedback to warming in the boreal north and Arctic cannot continue indefinitely. Science , this issue p. 696
Published: 2016

21. Revision of global carbon fluxes based on a reassessment of oceanic and riverine carbon transport

Author: Laure Resplandy, Keith B. Rodgers, Matthew C. Long, Christian Rödenbeck, Laurent Bopp, Ralph F. Keeling, Samar Khatiwala, Pieter P. Tans, and Britton B. Stephens
Subjects: 0106 biological sciences, geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, 010604 marine biology & hydrobiology, Northern Hemisphere, Carbon sink, Biological pump, Atmospheric sciences, 01 natural sciences, Sink (geography), Carbon cycle, chemistry.chemical_compound, chemistry, Carbon dioxide, General Earth and Planetary Sciences, Environmental science, Ecosystem, Southern Hemisphere, 0105 earth and related environmental sciences
Abstract: Measurements of atmospheric CO2 concentration provide a tight constraint on the sum of the land and ocean sinks. This constraint has been combined with estimates of ocean carbon flux and riverine transport of carbon from land to oceans to isolate the land sink. Uncertainties in the ocean and river fluxes therefore translate into uncertainties in the land sink. Here, we introduce a heat-based constraint on the latitudinal distribution of ocean and river carbon fluxes, and reassess the partition between ocean, river and land in the tropics, and in the southern and northern extra-tropics. We show that the ocean overturning circulation and biological pump tightly link the ocean transports of heat and carbon between hemispheres. Using this coupling between heat and carbon, we derive ocean and river carbon fluxes compatible with observational constraints on heat transport. This heat-based constraint requires a 20–100% stronger ocean and river carbon transport from the Northern Hemisphere to the Southern Hemisphere than existing estimates, and supports an upward revision of the global riverine carbon flux from 0.45 to 0.78 PgC yr−1. These systematic biases in existing ocean/river carbon fluxes redistribute up to 40% of the carbon sink between northern, tropical and southern land ecosystems. As a consequence, the magnitude of both the southern land source and the northern land sink may have to be substantially reduced. Terrestrial carbon sources in the Southern Hemisphere and sinks in the Northern Hemisphere may be smaller than thought, according to a recalculation that accounts for the oceanic redistribution of carbon.
Published: 2018

22. Land use change and El Niño-Southern Oscillation drive decadal carbon balance shifts in Southeast Asia

Author: Yosuke Niwa, Fang Li, Charles D. Koven, Prabir K. Patra, Kazuhito Ichii, Takashi Nakamura, Andy Wiltshire, Atul K. Jain, Thomas A. M. Pugh, Leonardo Calle, J. G. Canadell, Frédéric Chevallier, A. Arneth, Pierre Friedlingstein, Yi Y. Liu, Anna B. Harper, Masayuki Kondo, Sönke Zaehle, Albert van Dijk, Stephen Sitch, Nobuko Saigusa, Takashi Maki, Tazu Saeki, Benjamin Poulter, Christian Rödenbeck, Etsushi Kato, Center for Environmental Remote Sensing [Chiba] (CEReS), Chiba University, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), CSIRO Marine and Atmospheric Research (CSIRO-MAR), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Montana State University (MSU), Biospheric Sciences Laboratory, NASA Goddard Space Flight Center (GSFC), Exeter Climate Systems, University of Exeter, Exeter, United Kingdom, Nanjing University of Information Science and Technology (NUIST), Climate Change Research Centre, ARC Centre of Excellence for Climate System Science, University of New South Wales, Level 4 Matthews Bldg., Kensington, NSW 2052, Australia, Fenner School of Environment and Society, Australian National University (ANU), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Department of Atmospheric Sciences [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, The Institute of Applied Energy (IAE), Earth Sciences Division, Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory (LLNL), Institute of Atmospheric Physics [Beijing] (IAP), Chinese Academy of Sciences [Beijing] (CAS), Institute for Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT), Biogeochemistry Department [Mainz], Max Planck Institute for Chemistry (MPIC), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], 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), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), 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), Japan Meteorological Agency (JMA), Max-Planck-Institut, Montana State University ( MSU ), inconnu, Inconnu, Analysis-Synthesis Approach for Virtual Human Simulation ( MIMETIC ), Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -MEDIA ET INTERACTIONS ( IRISA-D6 ), Institut de Recherche en Informatique et Systèmes Aléatoires ( IRISA ), CentraleSupélec-Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Télécom Bretagne-Institut National des Sciences Appliquées ( INSA ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -École normale supérieure - Rennes ( ENS Rennes ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Bretagne Sud ( UBS ) -CentraleSupélec-Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Télécom Bretagne-Institut National des Sciences Appliquées ( INSA ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -École normale supérieure - Rennes ( ENS Rennes ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Bretagne Sud ( UBS ) -Institut de Recherche en Informatique et Systèmes Aléatoires ( IRISA ), Université de Rennes ( UNIV-RENNES ) -Télécom Bretagne-Institut National des Sciences Appliquées ( INSA ) -École normale supérieure - Rennes ( ENS Rennes ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Bretagne Sud ( UBS ), Faculty of Veterinary Medicine, Utrecht University [Utrecht], Center for Global Environmental Research, National Institute for Environmental Studies ( NIES ), Exeter Climate Systems, College of Engineering, Mathematics and Physical Science, University of Exeter, Exeter, United Kingdom, Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung ( IMK-IFU ), Karlsruher Institut für Technologie ( KIT ), Dauphine Recherches en Management ( DRM ), Université Paris-Dauphine-Centre National de la Recherche Scientifique ( CNRS ), Department for Biogeochemical System, Max Planck Institute for Biogeochemistry, 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 ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), Japan Meteorological Agency ( JMA ), Department of Radiology and Cancer Biology, Nagasaki, University of Exeter, 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), and 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)
Subjects: 0301 basic medicine, [ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere, Biogeochemical cycle, Peat, 010504 meteorology & atmospheric sciences, Life on Land, Science, General Physics and Astronomy, Climate change, 01 natural sciences, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, Deforestation, ddc:550, [ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces, environment, Life Science, Land use, land-use change and forestry, lcsh:Science, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, 0105 earth and related environmental sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Multidisciplinary, Land use, General Chemistry, 15. Life on land, Photosynthetic capacity, Climate Action, Earth sciences, 030104 developmental biology, Carbon neutrality, 13. Climate action, Climatology, Environmental science, lcsh:Q, sense organs
Abstract: An integrated understanding of the biogeochemical consequences of climate extremes and land use changes is needed to constrain land-surface feedbacks to atmospheric CO2 from associated climate change. Past assessments of the global carbon balance have shown particularly high uncertainty in Southeast Asia. Here, we use a combination of model ensembles to show that intensified land use change made Southeast Asia a strong source of CO2 from the 1980s to 1990s, whereas the region was close to carbon neutral in the 2000s due to an enhanced CO2 fertilization effect and absence of moderate-to-strong El Niño events. Our findings suggest that despite ongoing deforestation, CO2 emissions were substantially decreased during the 2000s, largely owing to milder climate that restores photosynthetic capacity and suppresses peat and deforestation fire emissions. The occurrence of strong El Niño events after 2009 suggests that the region has returned to conditions of increased vulnerability of carbon stocks., The carbon balance in Southeast Asia is highly uncertain. Here, the authors show that land use changes and occurrence of strong El Niño control decadal shifts in the carbon balance of this region.
Published: 2018

23. Observation-based trends of the southern ocean carbon sink

Author: R. Ritter, Yosuke Iida, S. Nakaoka, Peter Landschützer, P. Peylin, Keith B. Rodgers, Jiye Zeng, Amanda R. Fay, Nicolas Gruber, Jamie D. Shutler, Christian Rödenbeck, Geun-Ha Park, Steve D Jones, Institute of Biogeochemistry and Pollutant Dynamics [ETH Zürich] (IBP), Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Japan Meteorological Agency (JMA), National Institute for Environmental Studies (NIES), Chemistry Department [Massachusetts Institute of Technology], Massachusetts Institute of Technology (MIT), 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), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), 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), Max-Planck-Institut für Biogeochemie (MPI-BGC), Dept. Chemistry, North Dakota, North Dakota State University (NDSU), University of Exeter, Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], Geophysical Institute [Bergen] (GFI / BiU), University of Bergen (UiB), 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), and 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)
Subjects: trends, 0106 biological sciences, 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, 010604 marine biology & hydrobiology, Carbon sink, Atmospheric sciences, 01 natural sciences, observations, Geophysics, carbon sink, 13. Climate action, SOCOM, General Earth and Planetary Sciences, Environmental science, CO2, 14. Life underwater, Southern Ocean, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, 0105 earth and related environmental sciences
Abstract: International audience; The Southern Ocean (SO) carbon sink has strengthened substantially since the year 2000, following a decade of a weakening trend. However, the surface ocean pCO$_2$ data underlying this trend reversal are sparse, requiring a substantial amount of extrapolation to map the data. Here we use nine different pCO$_2$ mapping products to investigate the SO trends and their sensitivity to the mapping procedure. We find a robust temporal coherence for the entire SO, with eight of the nine products agreeing on the sign of the decadal trends, that is, a weakening CO$_2$ sink trend in the 1990s (on average 0.22 ± 0.24 pg C yr$^{−1}$ decade$^{−1}$), and a strengthening sink trend during the 2000s (−0.35 ± 0.23 pg C yr$^{−1}$ decade$^{−1}$). Spatially, the multiproduct mean reveals rather uniform trends, but the confidence is limited, given the small number of statistically significant trends from the individual products, particularly during the data-sparse 1990-1999 period. Plain Language Summary The Southern Ocean plays an important role in regulating Earth's climate as it takes up a substantial amount of carbon dioxide from the atmosphere, thereby limiting the effect of global warming. However, this part of the global ocean is also the least well observed and observational data are sparse. Therefore, to study Southern Ocean carbon uptake, data interpolation methods are used to estimate the variability of the carbon uptake from the few existing observations. This poses the question on how reliable these estimates are. The Surface Ocean CO$_2$ Mapping intercomparison project aims to do exactly that, that is, test how reliable current estimates are by comparing results from different methods. Here we compare the results from nine data interpolation methods in the Southern Ocean from 1990 to 2010 and find a broad and encouraging agreement regarding decadal carbon uptake signals, whereas a spatially more refined analysis reveals much less agreement locally, illustrating the need to continue the measurement effort in the Southern Ocean.
Published: 2017

24. The reinvigoration of the Southern Ocean carbon sink

Author: Steven van Heuven, Christian Rödenbeck, Nicolas Metzl, Bronte Tilbrook, Nicolas Gruber, F. Alexander Haumann, Mario Hoppema, Peter Landschützer, Dorothee C. E. Bakker, Colm Sweeney, Taro Takahashi, Rik Wanninkhof, Biogeochemical Systems Department [Jena], Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Équipe CO2 (E-CO2), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), National Oceanic and Atmospheric Administration (NOAA), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), and 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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636))
Subjects: 0106 biological sciences, Multidisciplinary, 010504 meteorology & atmospheric sciences, Atmospheric circulation, 010604 marine biology & hydrobiology, Carbon sink, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], Carbon sequestration, 01 natural sciences, Carbon cycle, chemistry.chemical_compound, Oceanography, chemistry, 13. Climate action, Carbon dioxide, Environmental science, Thermohaline circulation, 14. Life underwater, Oceanic carbon cycle, Ocean heat content, 0105 earth and related environmental sciences
Abstract: Uptake uptick Has global warming slowed the uptake of atmospheric CO 2 by the Southern Ocean? Landschützer et al. say no (see the Perspective by Fletcher). Previous work suggested that the strength of the Southern Ocean carbon sink fell during the 1990s. This raised concerns that such a decline would exacerbate the rise of atmospheric CO 2 and thereby increase global surface air temperatures and ocean acidity. The newer data show that the Southern Ocean carbon sink strengthened again over the past decade, which illustrates the dynamic nature of the process and alleviates some of the anxiety about its earlier weakening trend. Science , this issue p. 1221 ; see also p. 1165
Published: 2015

25. Impacts of ENSO on air-sea oxygen exchange: observations and mechanisms

Author: Laure Resplandy, Ralph F. Keeling, M. Manizza, Matthew C. Long, Y. Eddebbar, Keith B. Rodgers, and Christian Rödenbeck
Subjects: Ocean deoxygenation, Atmospheric Science, Global and Planetary Change, 010504 meteorology & atmospheric sciences, chemistry.chemical_element, 010502 geochemistry & geophysics, Oxygen cycle, 01 natural sciences, Oxygen, La Niña, Flux (metallurgy), Complex response, chemistry, Climatology, Environmental Chemistry, Environmental science, Upwelling, Hindcast, 0105 earth and related environmental sciences, General Environmental Science
Abstract: Models and observations of Atmospheric Potential Oxygen (APO ≃ O2 + 1.1*CO2) are used to investigate the influence of El Nino Southern Oscillation (ENSO) on air-sea O2 exchange. An atmospheric transport inversion of APO data from the Scripps flask network shows significant interannual variability in tropical APO fluxes that is positively correlated with the Nino3.4 index, indicating anomalous ocean outgassing of APO during El Nino. Hindcast simulations of the Community Earth System Model (CESM) and the Institut Pierre-Simon Laplace (IPSL) model show similar APO sensitivity to ENSO, differing from the Geophysical Fluid Dynamic Laboratory (GFDL) model, which shows an opposite APO response. In all models, O2 accounts for most APO flux variations. Detailed analysis in CESM shows the O2 response is driven primarily by ENSO-modulation of the source and rate of equatorial upwelling, which moderate the intensity of O2 uptake due to vertical transport of low-O2 waters. These upwelling changes dominate over counteracting effects of biological productivity and thermally-driven O2 exchange. During El Nino, shallower and weaker upwelling leads to anomalous O2 outgassing, whereas deeper and intensified upwelling during La Nina drives enhanced O2 uptake. This response is strongly localized along the central and eastern equatorial Pacific, leading to an equatorial zonal dipole in atmospheric anomalies of APO. This dipole is further intensified by ENSO-related changes in winds, reconciling apparently conflicting APO observations in the tropical Pacific. These findings suggest a substantial and complex response of the oceanic O2 cycle to climate variability that is significantly (>50%) underestimated in magnitude by ocean models.
Published: 2017

26. Patterns and controls of inter-annual variability in the terrestrial Carbon budget

Author: Christian Rödenbeck, Barbara Marcolla, and Alessandro Cescatti
Subjects: 010504 meteorology & atmospheric sciences, lcsh:Life, 01 natural sciences, Sink (geography), Standard deviation, Gross primary productivity, Carbon cycle, FluxNet, Settore BIO/07 - ECOLOGIA, lcsh:QH540-549.5, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Earth-Surface Processes, Carbon flux, geography, geography.geographical_feature_category, lcsh:QE1-996.5, 04 agricultural and veterinary sciences, lcsh:Geology, lcsh:QH501-531, Net ecosystem exchange, Climatology, 040103 agronomy & agriculture, Spatial ecology, 0401 agriculture, forestry, and fisheries, Environmental science, lcsh:Ecology
Abstract: The terrestrial carbon fluxes show the largest variability among the components of the global carbon cycle and drive most of the temporal variations in the growth rate of atmospheric CO2 (Le Quéré 2014). Understanding the environmental controls and trends of the terrestrial carbon budget is therefore essential to predict the future trajectories of the CO2 airborne fraction and atmospheric concentrations. In the present work, patterns and controls of the inter-annual variability (IAV) of carbon Net Ecosystem Exchange (NEE) have been analysed using three different data-streams: ecosystem level observations from the FLUXNET database (La Thuille and 2015 releases), the MPI-MTE bottom-up product resulting from the global up-scaling of site-level fluxes, and the Jena CarboScope Inversion, a top-down estimate of surface fluxes obtained from observed CO2 concentrations and an atmospheric transport model. Consistencies and discrepancies in the temporal and spatial patterns and in the climatic and physiological controls of IAV were investigated between the three data sources. The global average of IAV at FLUXNET sites (~ 120 gC m−2 y−1), quantified as the standard deviation of annual NEE, was observed to peak in arid ecosystems and to be almost six times larger than the values calculated from the two global products (15 and 20 gC m−2 y−1 for MPI-MTE and Jena inversion, respectively). The two data-driven global products show that most of the temporal variability observed in the last three decades is due to yearly anomalies, whereas the temporal trends explain only about 15 % of the variability in the MPI-MTE product and 20 % in the Jena Inversion product. Both at site level and at global scale, the IAV of NEE is driven by the gross primary productivity and in particular by the cumulative carbon flux during the months when land acts as a sink. Altogether these results offer a broad view on the magnitude, spatial patterns and environmental drivers of IAV from a variety of data sources, that can be instrumental to improve our understanding of the terrestrial carbon budget and to validate the predictions of land surface models.
Published: 2017

27. Vegetation greenness and land carbon-flux anomalies associated with climate variations: a focus on the year 2015

Author: Yi Yin, Philippe Ciais, Chao Yue, Taejin Park, Frédéric Chevallier, Ana Bastos, Christian Rödenbeck, 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), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Max-Planck-Institut für Biogeochemie (MPI-BGC), Boston University [Boston] (BU), 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), and 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)
Subjects: 0301 basic medicine, Atmospheric Science, 010504 meteorology & atmospheric sciences, Growing season, Carbon sequestration, Atmospheric sciences, 01 natural sciences, lcsh:Chemistry, 03 medical and health sciences, Greening, Ecosystem, Southern Hemisphere, 0105 earth and related environmental sciences, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], Carbon sink, Tropics, Vegetation, 15. Life on land, lcsh:QC1-999, 030104 developmental biology, lcsh:QD1-999, 13. Climate action, Climatology, Environmental science, [SDV.EE.BIO]Life Sciences [q-bio]/Ecology, environment/Bioclimatology, lcsh:Physics
Abstract: Understanding the variations in global land carbon uptake, and their driving mechanisms, is essential if we are to predict future carbon-cycle feedbacks on global environmental changes. Satellite observations of vegetation greenness have shown consistent greening across the globe over the past three decades. Such greening has driven the increasing land carbon sink, especially over the growing season in northern latitudes. On the other hand, interannual variations in land carbon uptake are strongly influenced by El Niño–Southern Oscillation (ENSO) climate variations. Marked reductions in land uptake and strong positive anomalies in the atmospheric CO2 growth rates occur during El Niño events. Here we use the year 2015 as a natural experiment to examine the possible response of land ecosystems to a combination of vegetation greening and an El Niño event. The year 2015 was the greenest year since 2000 according to satellite observations, but a record atmospheric CO2 growth rate also occurred due to a weaker than usual land carbon sink. Two atmospheric inversions indicate that the year 2015 had a higher than usual northern land carbon uptake in boreal spring and summer, consistent with the positive greening anomaly and strong warming. This strong uptake was, however, followed by a larger source of CO2 in the autumn. For the year 2015, enhanced autumn carbon release clearly offset the extra uptake associated with greening during the summer. This finding leads us to speculate that a long-term greening trend may foster more uptakes during the growing season, but no large increase in annual carbon sequestration. For the tropics and Southern Hemisphere, a strong transition towards a large carbon source for the last 3 months of 2015 is discovered, concomitant with El Niño development. This transition of terrestrial tropical CO2 fluxes between two consecutive seasons is the largest ever found in the inversion records. The strong transition to a carbon source in the tropics with the peak of El Niño is consistent with historical observations, but the detailed mechanisms underlying such an extreme transition remain to be elucidated.
Published: 2017

28. Global carbon budget 2013

Author: Bronte Tilbrook, Glen P. Peters, Andy Wiltshire, Abdirahman M Omar, Almut Arneth, A. Arvanitis, Joanna Isobel House, Richard A. Houghton, Pieter P. Tans, Benjamin D. Stocker, Josep G. Canadell, Nathalie Lefèvre, S. van Heuven, C. Le Quéré, Steve D Jones, Christian Rödenbeck, Pierre Regnier, R. Moriarty, T. Ono, Robbie M. Andrew, Stephen Sitch, Geun-Ha Park, Louise Chini, Atul K. Jain, Philippe Ciais, Fabienne Maignan, Anna B. Harper, Etsushi Kato, S. Saito, Benjamin Pfeil, Jörg Schwinger, Gregg Marland, Kees Klein Goldewijk, Michael R. Raupach, Ian Harris, Laurent Bopp, Thomas A. Boden, Arne Körtzinger, Sönke Zaehle, Nicolas Viovy, Dorothee C. E. Bakker, Pierre Friedlingstein, Rik Wanninkhof, Benjamin Poulter, Taro Takahashi, Joachim Segschneider, Scott C. Doney, Ralph F. Keeling, Robert J. Andres, Charles D. Koven, Tyndall Centre for Climate Change Research, University of East Anglia [Norwich] (UEA), 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), University of Exeter, Appalachian State University, University, Tyndall Centre for Climate Change Research and School of Environmental Sciences, College of Life and Environmental Sciences [Exeter], NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Climatic Research Unit, University of East Anglia, University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, The Institute of Applied Energy (IAE), PBL Netherlands Environmental Assessment Agency, Leibniz-Institut für Meereswissenschaften (IFM-GEOMAR), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Austral, Boréal et Carbone (ABC), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Netherlands Institute for Radio Astronomy (ASTRON), National Institute of Advanced Industrial Science and Technology (AIST), Chemistry Department [Massachusetts Institute of Technology], Massachusetts Institute of Technology (MIT), Université libre de Bruxelles (ULB), Max-Planck-Institut für Biogeochemie (MPI-BGC), Japan Meteorological Agency (JMA), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Centre for Isotope Research [Groningen] (CIO), University of Groningen [Groningen], NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], Max Planck Institute for Biogeochemistry (MPI-BGC), 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), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), and 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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636))
Subjects: 010504 meteorology & atmospheric sciences, 530 Physics, Mathematics and natural scienses: 400::Geosciences: 450::Meteorology: 453 [VDP], MODELS, Matematikk og naturvitenskap: 400::Geofag: 450::Oseanografi: 452 [VDP], Earth and Planetary Sciences(all), [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], 010501 environmental sciences, Atmospheric sciences, 7. Clean energy, 01 natural sciences, 12. Responsible consumption, Carbon cycle, Atmosphere, Matematikk og naturvitenskap: 400::Geofag: 450::Meteorologi: 453 [VDP], carbon budget, chemistry.chemical_compound, METHANE, carbon sinks, Mathematics and natural scienses: 400::Geosciences: 450::Oceanography: 452 [VDP], Deforestation, CARBON DIOXIDE, ddc:550, Climate change, fossil fuels, Energy statistics, Land use change, lcsh:Environmental sciences, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, lcsh:GE1-350, lcsh:QE1-996.5, Biosphere, Généralités, Vegetation, 15. Life on land, lcsh:Geology, Earth sciences, chemistry, 13. Climate action, Carbon dioxide, General Earth and Planetary Sciences, Environmental science, Sink (computing)
Abstract: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates, consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil-fuel combustion and cement production (EFF) are based on energy statistics, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (G ATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated for the first time in this budget with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models forced by observed climate, CO2 and land cover change (some including nitrogen-carbon interactions). All uncertainties are reported as ±1σ ,reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2003-2012), EFF was 8.6±0.4 GtC yr-1, ELUC 0.9±0.5 GtC yr-1, GATM 4.3±0.1 GtC yr-1, SOCEAN 2.5±0.5 GtC yr -1, and SLAND 2.8±0.8 GtC yr-1. For year 2012 alone, EFF grew to 9.7±0.5 GtC yr-1, 2.2% above 2011, reflecting a continued growing trend in these emissions, G ATM was 5.1±0.2 GtC yr-1, SOCEAN was 2.9±0.5 GtC yr-1, and assuming an ELUC of 1.0±0.5 GtC yr-1 (based on the 2001-2010 average), S LAND was 2.7±0.9 GtC yr-1. GATM was high in 2012 compared to the 2003-2012 average, almost entirely reflecting the high EFF. The global atmospheric CO2 concentration reached 392.52±0.10 ppm averaged over 2012. We estimate that EFF will increase by 2.1% (1.1- 3.1 %) to 9.9±0.5 GtC in 2013, 61% above emissions in 1990, based on projections of world gross domestic product and recent changes in the carbon intensity of the economy.With this projection, cumulative emissions ofCO2 will reach about 535±55 GtC for 1870-2013, about 70% from EFF (390±20 GtC) and 30% from ELUC (145±50 GtC). This paper also documents any changes in the methods and data sets used in this new carbon budget from previous budgets (Le Quéré et al. 2013). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP-2013-V2.3). © 2014 Author(s) CC Attribution 3.0 License., 0, SCOPUS: ar.j, info:eu-repo/semantics/published
Published: 2014
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29. Global atmospheric carbon budget: results from an ensemble of atmospheric CO2 inversions

Author: Prabir K. Patra, Andrew R. Jacobson, I. T. van der Laan-Luijkx, Takashi Maki, Peter Rayner, Yosuke Niwa, Christian Rödenbeck, Wouter Peters, Kevin R. Gurney, Frédéric Chevallier, Rachel M. Law, X. Zhang, and P. Peylin
Subjects: 010504 meteorology & atmospheric sciences, Atmospheric carbon cycle, Tropics, Magnitude (mathematics), 010501 environmental sciences, Seasonality, medicine.disease, 01 natural sciences, Standard deviation, Flux (metallurgy), 13. Climate action, Climatology, medicine, Period (geology), Environmental science, Sink (computing), Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Earth-Surface Processes
Abstract: Atmospheric CO2 inversions estimate surface carbon fluxes from an optimal fit to atmospheric CO2 measurements, usually including prior constraints on the flux estimates. Eleven sets of carbon flux estimates are compared, generated by different inversions systems that vary in their inversions methods, choice of atmospheric data, transport model and prior information. The inversions were run for at least 5 yr in the period between 1990 and 2010. Mean fluxes for 2001–2004, seasonal cycles, interannual variability and trends are compared for the tropics and northern and southern extra-tropics, and separately for land and ocean. Some continental/basin-scale subdivisions are also considered where the atmospheric network is denser. Four-year mean fluxes are reasonably consistent across inversions at global/latitudinal scale, with a large total (land plus ocean) carbon uptake in the north (−3.4 Pg C yr−1 (±0.5 Pg C yr−1 standard deviation), with slightly more uptake over land than over ocean), a significant although more variable source over the tropics (1.6 ± 0.9 Pg C yr−1) and a compensatory sink of similar magnitude in the south (−1.4 ± 0.5 Pg C yr−1) corresponding mainly to an ocean sink. Largest differences across inversions occur in the balance between tropical land sources and southern land sinks. Interannual variability (IAV) in carbon fluxes is larger for land than ocean regions (standard deviation around 1.06 versus 0.33 Pg C yr−1 for the 1996–2007 period), with much higher consistency among the inversions for the land. While the tropical land explains most of the IAV (standard deviation ~ 0.65 Pg C yr−1), the northern and southern land also contribute (standard deviation ~ 0.39 Pg C yr−1). Most inversions tend to indicate an increase of the northern land carbon uptake from late 1990s to 2008 (around 0.1 Pg C yr−1, predominantly in North Asia. The mean seasonal cycle appears to be well constrained by the atmospheric data over the northern land (at the continental scale), but still highly dependent on the prior flux seasonality over the ocean. Finally we provide recommendations to interpret the regional fluxes, along with the uncertainty estimates.
Published: 2013

30. Global Carbon Budget 2016

Author: Ian Harris, Richard A. Houghton, Josep G. Canadell, Pieter P. Tans, Abdirahman M Omar, Thomas A. Boden, Leticia Barbero, Arne Körtzinger, Adrienne J. Sutton, Guido R. van der Werf, Frank J. Millero, Benjamin D. Stocker, Julia E. M. S. Nabel, Louise Chini, Denis Pierrot, Scott C. Doney, Shin-Ichiro Nakaoka, Andrew Lenton, Kim I. Currie, Nicolas Viovy, Pedro M. S. Monteiro, Sönke Zaehle, Oliver Andrews, Philippe Ciais, Peter Landschützer, Ute Schuster, Stephen Sitch, Pierre Friedlingstein, Vanessa Haverd, Simone R. Alin, Judith Hauck, Christian Rödenbeck, Atul K. Jain, Nathalie Lefèvre, Ingrid T. van der Laan-Luijkx, Joe R. Melton, Mario Hoppema, Benjamin Poulter, Frédéric Chevallier, Taro Takahashi, Hanqin Tian, Thanos Gkritzalis, Tsuneo Ono, Etsushi Kato, Andrew C. Manning, Roland Séférian, Danica Lombardozzi, Jörg Schwinger, Jan Ivar Korsbakken, David R. Munro, Corinne Le Quéré, Anthony P. Walker, Laurent Bopp, Peter Anthoni, Bronte Tilbrook, Glen P. Peters, Andy Wiltshire, Sebastian Lienert, Are Olsen, Ralph F. Keeling, Nicolas Metzl, Robbie M. Andrew, Christine Delire, Joe Salisbury, Kees Klein Goldewijk, K. O'Brien, Ingunn Skjelvan, Tyndall Centre for Climate Change Research, University of East Anglia [Norwich] (UEA), Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), Global Carbon Project (GCP), CSIRO Marine and Atmospheric Research (CSIRO-MAR), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO)-Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), College of Life and Environmental Sciences, University of Exeter, 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), Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Woods Hole Oceanographic Institution (WHOI), University of California [San Diego] (UC San Diego), University of California, NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Cooperative Institute for Marine and Atmospheric Studies (CIMAS), Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami [Coral Gables]-University of Miami [Coral Gables], 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), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), 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 Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, ICOS-ATC (ICOS-ATC), National Institute of Water and Atmospheric Research [Wellington] (NIWA), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS), University of Exeter, Flanders Marine Institute, VLIZ, Climatic Research Unit, University of East Anglia, Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Commonwealth Scientific and Industrial Research Organisation (CSIRO), Oceans and Atmosphere Flagship, PBL Netherlands Environmental Assessment Agency, STMicroelectronics [Crolles] (ST-CROLLES), The Institute of Applied Energy (IAE), Christian-Albrechts-Universität zu Kiel (CAU), Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Austral, Boréal et Carbone (ABC), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Oceans and Atmosphere Flagship (CSIRO), CSIRO Oceans and Atmosphere Flagship, Équipe CO2 (E-CO2), Department of Ocean Sciences, University of Miami [Coral Gables], Department of Civil and Environmental Engineering [Berkeley] (CEE), University of California [Berkeley], University of California-University of California, University of Wisconsin Whitewater, Max Planck Institute for Meteorology (MPI-M), National Institute for Environmental Studies (NIES), NASA Langley Research Center [Hampton] (LaRC), National Institute of Advanced Industrial Science and Technology (AIST), Entrepôts, Représentation et Ingénierie des Connaissances (ERIC), Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Max-Planck-Institut, Ocean Process Analysis Laboratory (OPAL), University of New Hampshire (UNH), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Imperial College London, Scripps Institution of Oceanography (SIO), Joint Institute for the Study of the Atmosphere and Ocean (JISAO), University of Washington [Seattle], Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency [Sagamihara] (JAXA), Shandong Agricultural University (SDAU), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Wageningen University and Research [Wageningen] (WUR), Faculty of Earth and Life Sciences [Amsterdam] (FALW), Vrije Universiteit Amsterdam [Amsterdam] (VU), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), School of Earth and Environment [Leeds] (SEE), University of Leeds, Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], Biogeochemical Systems Department [Jena], Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Environmental Sciences, Faculty of Earth and Life Sciences, Earth and Climate, University of California (UC), 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), 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), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), and Scripps Institution of Oceanography (SIO - UC San Diego)
Subjects: Meteorologie en Luchtkwaliteit, 010504 meteorology & atmospheric sciences, Meteorology and Air Quality, 530 Physics, Climate change, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], 02 engineering and technology, 010501 environmental sciences, Atmospheric sciences, 01 natural sciences, 7. Clean energy, Carbon cycle, Latitude, SDG 17 - Partnerships for the Goals, Deforestation, ddc:550, SDG 13 - Climate Action, Life Science, lcsh:Environmental sciences, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, lcsh:GE1-350, WIMEK, business.industry, Fossil fuel, lcsh:QE1-996.5, Biosphere, Vegetation, 15. Life on land, 021001 nanoscience & nanotechnology, lcsh:Geology, Earth sciences, 13. Climate action, General Earth and Planetary Sciences, Environmental science, Sink (computing), 0210 nano-technology, business
Abstract: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates and consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models. We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2006–2015), EFF was 9.3 ± 0.5 GtC yr−1, ELUC 1.0 ± 0.5 GtC yr−1, GATM 4.5 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 3.1 ± 0.9 GtC yr−1. For year 2015 alone, the growth in EFF was approximately zero and emissions remained at 9.9 ± 0.5 GtC yr−1, showing a slowdown in growth of these emissions compared to the average growth of 1.8 % yr−1 that took place during 2006–2015. Also, for 2015, ELUC was 1.3 ± 0.5 GtC yr−1, GATM was 6.3 ± 0.2 GtC yr−1, SOCEAN was 3.0 ± 0.5 GtC yr−1, and SLAND was 1.9 ± 0.9 GtC yr−1. GATM was higher in 2015 compared to the past decade (2006–2015), reflecting a smaller SLAND for that year. The global atmospheric CO2 concentration reached 399.4 ± 0.1 ppm averaged over 2015. For 2016, preliminary data indicate the continuation of low growth in EFF with +0.2 % (range of −1.0 to +1.8 %) based on national emissions projections for China and USA, and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. In spite of the low growth of EFF in 2016, the growth rate in atmospheric CO2 concentration is expected to be relatively high because of the persistence of the smaller residual terrestrial sink (SLAND) in response to El Niño conditions of 2015–2016. From this projection of EFF and assumed constant ELUC for 2016, cumulative emissions of CO2 will reach 565 ± 55 GtC (2075 ± 205 GtCO2) for 1870–2016, about 75 % from EFF and 25 % from ELUC. This living data update documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this data set (Le Quéré et al., 2015b, a, 2014, 2013). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2016).
Published: 2016

31. An empirical spatiotemporal description of the global surface-atmosphere carbon fluxes: opportunities and data limitations

Author: Martin Herold, Christian Rödenbeck, Philippe Peylin, Markus Reichstein, Ronny Lauerwald, Gianluca Tramontana, Jakob Zscheischler, Deepak K. Ray, Miguel D. Mahecha, Guido R. van der Werf, Philippe Ciais, Rosa Maria Roman-Cuesta, R. Valentini, Fabian Gans, Christopher R. Schwalm, Valerio Avitabile, Tristram O. West, Martin Jung, Nicolas Gruber, Nuno Carvalhais, Dario Papale, Peter Landschützer, Pierre Regnier, Kazuhito Ichii, Benjamin Poulter, Jens Hartmann, Julie Wolf, Goulven Gildas Laruelle, Alexandra Tyukavina, and Leonardo Calle
Subjects: geography, Biogeochemical cycle, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Environmental change, Continental shelf, business.industry, 0208 environmental biotechnology, Fossil fuel, 02 engineering and technology, 15. Life on land, 01 natural sciences, Sink (geography), 020801 environmental engineering, Carbon cycle, Data assimilation, 13. Climate action, Climatology, Environmental science, Terrestrial ecosystem, 14. Life underwater, business, 0105 earth and related environmental sciences
Abstract: Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative to global environmental change. A full characterization of C cycling requires detailed information on spatiotemporal patterns of surface-atmosphere fluxes. However, relevant C cycle observations are highly variable in their coverage and reporting standards. Especially problematic is the lack of integration of vertical oceanic, inland freshwaters and terrestrial carbon dioxide (CO2) exchange. Here we adopt a data-driven approach to synthesize a wide range of observation-based spatially explicit surface-atmosphere CO2 fluxes from 2001 and 2010, to identify the state of today’s observational opportunities and data limitation. The considered fluxes include vertical net exchange of open oceans, continental shelves, estuaries, rivers, and lakes, as well as CO2 fluxes related to gross primary productivity, terrestrial ecosystem respiration, fire emissions, loss of tropical aboveground C, harvested wood and crops, as well as fossil fuel and cement emissions. Spatially explicit CO2 fluxes are obtained through geostatistical and/or remote sensing-based upscaling; minimizing biophysical or biogeochemical assumptions encoded in process-based models. We estimate a global bottom-up net C exchange (NCE) between the surface (land, ocean, and coastal areas) and the atmosphere. Uncertainties for NCE and its components are derived using resampling. In most continental regions our NCE estimates agree well with independent estimates from other sources. This holds for Europe (mean ±1 SD: 0.80 ± 0.16 PgC/yr, positive numbers are sources to the atmosphere), Russia (−0.02 ± 0.49 PgC/yr), East Asia (1.76 ± 0.38 PgC/yr), South Asia (0.25 ± 0.16 PgC/yr), and Australia (0.22 ± 0.47 PgC/yr). Our NCE estimates also suggest large C sink in tropical areas. The global NCE estimate is −6.07 ± 3.38 PgC/yr. This global bottom-up value is the opposite direction of what is expected from the atmospheric growth rate of CO2, and would require an offsetting surface C source of 4.27±0.10 PgC/yr. This mismatch highlights large knowledge and observational gaps in tropical areas, particularly in South America, Africa, and Southeast Asia, but also in North America. Our uncertainty assessment provides the basis for designing new observation campaigns. In particular, we lack seasonal monitoring of shelf, estuary and inland water-atmosphere C exchange. Also, extensive pCO2 measurements are missing in the Southern Ocean. Most importantly, tropical land C fluxes suffer from a lack of in-situ observations. The consistent derivation of data uncertainties could serve as prior knowledge in multi-criteria optimization such as the Carbon Cycle Data Assimilation System (CCDAS) without overstating data credibility. Furthermore, the spatially explicit flux estimates may be used as a starting point to assess the validity of countries’ claims of reducing net C emissions in climate change negotiations.
Published: 2016

32. European land CO2 sink influenced by NAO and East-Atlantic Pattern coupling

Author: Philippe Ciais, Christian Rödenbeck, Ana Bastos, Frédéric Chevallier, Pierre Friedlingstein, Steven W. Running, Ricardo M. Trigo, Ivan A. Janssens, Célia M. Gouveia, Josep Peñuelas, Shilong Piao, 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), Instituto Dom Luiz, Universidade de Lisboa = University of Lisbon (ULISBOA), Universiteit Antwerpen = University of Antwerpen [Antwerpen], Institute for Systems and Computer Engineering, Technology and Science [Porto] (INESC TEC), ICOS-ATC (ICOS-ATC), 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), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), CREAF - Centre for Ecological Research and Applied Forestries, Universitat Autònoma de Barcelona (UAB), Max-Planck-Institut, Peking University [Beijing], College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS), University of Exeter, Numerical Terradynamics Simulation Group, University of Montana, 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), Universidade de Lisboa (ULISBOA), Universiteit Antwerpen [Antwerpen], and 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)
Subjects: 010504 meteorology & atmospheric sciences, Atmospheric circulation, Science, 0208 environmental biotechnology, Biome, General Physics and Astronomy, 02 engineering and technology, Atmospheric sciences, Photosynthesis, 01 natural sciences, General Biochemistry, Genetics and Molecular Biology, Sink (geography), Article, 0105 earth and related environmental sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, geography, Climate pattern, Multidisciplinary, geography.geographical_feature_category, Water transport, Ecology, Carbon sink, General Chemistry, 15. Life on land, 020801 environmental engineering, 13. Climate action, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Soil water, Environmental science, Engineering sciences. Technology
Abstract: Large-scale climate patterns control variability in the global carbon sink. In Europe, the North-Atlantic Oscillation (NAO) influences vegetation activity, however the East-Atlantic (EA) pattern is known to modulate NAO strength and location. Using observation-driven and modelled data sets, we show that multi-annual variability patterns of European Net Biome Productivity (NBP) are linked to anomalies in heat and water transport controlled by the NAO–EA interplay. Enhanced NBP occurs when NAO and EA are both in negative phase, associated with cool summers with wet soils which enhance photosynthesis. During anti-phase periods, NBP is reduced through distinct impacts of climate anomalies in photosynthesis and respiration. The predominance of anti-phase years in the early 2000s may explain the European-wide reduction of carbon uptake during this period, reported in previous studies. Results show that improving the capability of simulating atmospheric circulation patterns may better constrain regional carbon sink variability in coupled carbon-climate models., The relationship between terrestrial carbon sinks and atmospheric modes of variability remains uncertain. Here, the authors show that the coupling of the North Atlantic Oscillation and East-Atlantic patterns explains variations in the European CO2 sink from 1982 to 2012.
Published: 2016

33. The European land and inland water CO2, CO, CH4 and N2O balance between 2001 and 2005

Author: Sebastiaan Luyssaert, Frédéric Chevallier, Juliane Otto, P. Ciais, Annalea Lohila, P. Peylin, M. Corazza, Rene Dechow, Philippe Bousquet, Pieter Johannes Verkerk, Giuseppe Etiope, D. S. Njakou, E.-D. Schulze, Rong Wang, David Bastviken, J. Lathière, Emilio Mayorga, Giacomo Grassi, Nicolas Vuichard, Sophie Szopa, Martin Jung, Christian Rödenbeck, Nils Moosdorf, Peter A. Raymond, Valentin Bellassen, Jens Hartmann, Rona Thompson, Karl-Heinz Erb, Wouter Peters, Martin Wattenbach, Gwenaël Abril, Dario Papale, P. Bergamaschi, Audrey Fortems-Cheiney, Sönke Zaehle, Sanna Saarnio, and Robert J. Andres
Subjects: 010504 meteorology & atmospheric sciences, Ecology, Aquatic ecosystem, Climate change, 010501 environmental sciences, 15. Life on land, Carbon sequestration, Atmospheric sciences, 01 natural sciences, chemistry.chemical_compound, chemistry, 13. Climate action, Effects of global warming, Greenhouse gas, Carbon dioxide, Environmental science, Terrestrial ecosystem, Ecosystem, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Earth-Surface Processes
Abstract: Globally, terrestrial ecosystems have absorbed about 30% of anthropogenic greenhouse gas emissions over the period 2000–2007 and inter-hemispheric gradients indicate that a significant fraction of terrestrial carbon sequestration must be north of the Equator. We present a compilation of the CO2, CO, CH4 and N2O balances of Europe following a dual constraint approach in which (1) a land-based balance derived mainly from ecosystem carbon inventories and (2) a land-based balance derived from flux measurements are compared to (3) the atmospheric data-based balance derived from inversions constrained by measurements of atmospheric GHG (greenhouse gas) concentrations. Good agreement between the GHG balances based on fluxes (1294 ± 545 Tg C in CO2-eq yr−1), inventories (1299 ± 200 Tg C in CO2-eq yr−1) and inversions (1210 ± 405 Tg C in CO2-eq yr−1) increases our confidence that the processes underlying the European GHG budget are well understood and reasonably sampled. However, the uncertainty remains large and largely lacks formal estimates. Given that European net land to atmosphere exchanges are determined by a few dominant fluxes, the uncertainty of these key components needs to be formally estimated before efforts could be made to reduce the overall uncertainty. The net land-to-atmosphere flux is a net source for CO2, CO, CH4 and N2O, because the anthropogenic emissions by far exceed the biogenic sink strength. The dual-constraint approach confirmed that the European biogenic sink removes as much as 205 ± 72 Tg C yr−1 from fossil fuel burning from the atmosphere. However, This C is being sequestered in both terrestrial and inland aquatic ecosystems. If the C-cost for ecosystem management is taken into account, the net uptake of ecosystems is estimated to decrease by 45% but still indicates substantial C-sequestration. However, when the balance is extended from CO2 towards the main GHGs, C-uptake by terrestrial and aquatic ecosystems is offset by emissions of non-CO2 GHGs. As such, the European ecosystems are unlikely to contribute to mitigating the effects of climate change.
Published: 2012

34. Importance of fossil fuel emission uncertainties over Europe for CO2 modeling: model intercomparison

Author: Thomas Pregger, Maarten Krol, Philippe Ciais, Philippe Peylin, Christian Rödenbeck, G. Pieterse, Ute Karstens, C. Aulagnier, Camilla Geels, Martin Heimann, Bakr Badawy, Alex Vermeulen, Sander Houweling, and François Delage
Subjects: Atmospheric Science, geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, business.industry, Fossil fuel, Biosphere, 010501 environmental sciences, 7. Clean energy, 01 natural sciences, Sink (geography), Flux (metallurgy), 13. Climate action, Climatology, Ecosystem carbon, Environmental science, business, 0105 earth and related environmental sciences, Carbon flux
Abstract: Inverse modeling techniques used to quantify surface carbon fluxes commonly assume that the uncertainty of fossil fuel CO2 (FFCO2) emissions is negligible and that intra-annual variations can be neglected. To investigate these assumptions, we analyzed the differences between four fossil fuel emission inventories with spatial and temporal differences over Europe and their impact on the model simulated CO2 concentration. Large temporal flux variations characterize the hourly fields (~40 % and ~80 % for the seasonal and diurnal cycles, peak-to-peak) and annual country totals differ by 10 % on average and up to 40 % for some countries (i.e., the Netherlands). These emissions have been prescribed to seven different transport models, resulting in 28 different FFCO2 concentrations fields. The modeled FFCO2 concentration time series at surface sites using time-varying emissions show larger seasonal cycles (+2 ppm at the Hungarian tall tower (HUN)) and smaller diurnal cycles in summer (−1 ppm at HUN) than when using constant emissions. The concentration range spanned by all simulations varies between stations, and is generally larger in winter (up to ~10 ppm peak-to-peak at HUN) than in summer (~5 ppm). The contribution of transport model differences to the simulated concentration std-dev is 2–3 times larger than the contribution of emission differences only, at typical European sites used in global inversions. These contributions to the hourly (monthly) std-dev's amount to ~1.2 (0.8) ppm and ~0.4 (0.3) ppm for transport and emissions, respectively. First comparisons of the modeled concentrations with 14C-based fossil fuel CO2 observations show that the large transport differences still hamper a quantitative evaluation/validation of the emission inventories. Changes in the estimated monthly biosphere flux (Fbio) over Europe, using two inverse modeling approaches, are relatively small (less that 5 %) while changes in annual Fbio (up to ~0.15 % GtC yr−1) are only slightly smaller than the differences in annual emission totals and around 30 % of the mean European ecosystem carbon sink. These results point to an urgent need to improve not only the transport models but also the assumed spatial and temporal distribution of fossil fuel emission inventories.
Published: 2011

35. Estimating the carbon balance of central Siberia using a landscape-ecosystem approach, atmospheric inversion and Dynamic Global Vegetation Models

Author: Sten Nilsson, Ian McCallum, Christian Rödenbeck, Philippe Peylin, Shaun Quegan, C.C. Schmullius, Anatoly Shvidenko, Christian Beer, Wolfgang Lucht, and Itsuki C. Handoh
Subjects: Hydrology, Global and Planetary Change, geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Ecology, Biome, Northern Hemisphere, Carbon sink, Primary production, Soil carbon, 15. Life on land, 010501 environmental sciences, Atmospheric sciences, 01 natural sciences, Sink (geography), Boreal, 13. Climate action, Environmental Chemistry, Environmental science, Ecosystem, 0105 earth and related environmental sciences, General Environmental Science
Abstract: Northern Eurasia is the largest terrestrial reservoir of carbon, and its dynamics and interactions with climate are globally significant. We present five independent estimates of the contemporary carbon balance of central Siberia using three different methodologies: a landscape-ecosystem approach (LEA) that amalgamates comprehensive vegetation, soil, hydrological and morphological information into a Geographical Information System, linked to regression-based estimates of carbon flux; two dynamic global vegetation models (DGVMs); and two atmospheric inversions. Apart from one of the DGVMs, all methods produce estimates of the Net Biome Productivity (NBP) that are consistent both amongst themselves and with a range of other estimates. They indicate the region to be a carbon sink with a NBP of 27.5 +/- 7.2 gC m^{-2} yr^{-1}, which is equivalent to 352 +/- 92 MtC yr^{-1} if considered representative for boreal Asia. This is comparable with fossil fuel emissions for the Russian Federation, currently estimated as 427 MtC yr^{-1}, and implies that boreal Asia does not play the major role in the northern hemisphere land sink, typically estimated to be of magnitude 1.5-2.9 GtC yr^{-1}. The LEA and DGVM approaches produce very different partitioning of NBP into its component fluxes. The DGVMs find Net Primary Production (NPP) to be nearly balanced by heterotrophic respiration, disturbance being a relatively small term pushing the system closer to equilibrium. In the LEA, heterotrophic respiration is significantly less than NPP, and disturbance plays a much larger role in the overall carbon balance. The use in the LEA of observationally-based estimates of heterotrophic respiration and fire disturbance, along with a more complete description of disturbance fluxes, suggests that the partitioning derived by the LEA is more likely, and that improved process descriptions and constraints by data are needed in the DGVMs.
Published: 2010

36. History of El Niño impacts on the global carbon cycle 1957–2017: a quantification from atmospheric CO 2 data

Author: Christian Rödenbeck, Martin Heimann, Ralph F. Keeling, Sönke Zaehle, Institute for Atmospheric and Earth System Research (INAR), and INAR Physics
Subjects: 010504 meteorology & atmospheric sciences, atmospheric CO2 data, SOUTHERN-OSCILLATION, 010502 geochemistry & geophysics, Atmospheric sciences, 01 natural sciences, General Biochemistry, Genetics and Molecular Biology, Carbon cycle, Atmosphere, ECOSYSTEMS, Extratropical cyclone, Ecosystem, Spurious relationship, 1172 Environmental sciences, 0105 earth and related environmental sciences, Biosphere, 15. Life on land, TRANSPORT, VARIABILITY, 13. Climate action, TROPICAL TEMPERATURE, Period (geology), climate sensitivity, Environmental science, Climate sensitivity, General Agricultural and Biological Sciences, DIOXIDE, El Nino
Abstract: Interannual variations in the large-scale net ecosystem exchange (NEE) of CO 2 between the terrestrial biosphere and the atmosphere were estimated for 1957–2017 from sustained measurements of atmospheric CO 2 mixing ratios. As the observations are sparse in the early decades, available records were combined into a ‘quasi-homogeneous’ dataset based on similarity in their signals, to minimize spurious variations from beginning or ending data records. During El Niño events, CO 2 is anomalously released from the tropical band, and a few months later also in the northern extratropical band. This behaviour can approximately be represented by a linear relationship of the NEE anomalies and local air temperature anomalies, with sensitivity coefficients depending on geographical location and season. The apparent climate sensitivity of global total NEE against variations in pan-tropically averaged annual air temperature slowly changed over time during the 1957–2017 period, first increasing (though less strongly than in previous studies) but then decreasing again. However, only part of this change can be attributed to actual changes in local physiological or ecosystem processes, the rest probably arising from shifts in the geographical area of dominating temperature variations. This article is part of a discussion meeting issue ‘The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications’.
Published: 2018

37. European CO2 fluxes from atmospheric inversions using regional and global transport models

Author: Ph. Bousquet, Christian Rödenbeck, Camilla Geels, Manuel Gloor, L. Rivier, Philippe Ciais, Ph. Peylin, Jørgen Brandt, Martin Heimann, Ute Karstens, 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), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), University of Leeds, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, National Environmental Research Institute [Danmark] (NERI), Max-Planck-Institut für Biogeochemie (MPI-BGC), 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), and 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)
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric Science, Global and Planetary Change, 010504 meteorology & atmospheric sciences, Meteorology, Bioclimatology, Climate change, Biosphere, Carbon sink, 010501 environmental sciences, Atmospheric sciences, 01 natural sciences, Carbon cycle, 13. Climate action, Ecosystem model, Greenhouse gas, Environmental science, Emission inventory, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences
Abstract: Approximately half of human-induced carbon dioxide (CO2) emissions are taken up by the land and ocean, and the rest stays in the atmosphere, increasing the global concentration and acting as a major greenhouse-gas (GHG) climate-forcing element. Although GHG mitigation is now in the political arena, the exact spatial distribution of the land sink is not well known. In this paper, an estimation of mean European net ecosystem exchange (NEE) carbon fluxes for the period 1998–2001 is performed with three mesoscale and two global transport models, based on the integration of atmospheric CO2 measurements into the same Bayesian synthesis inverse approach. A special focus is given to sub-continental regions of Europe making use of newly available CO2 concentration measurements in this region. Inverse flux estimates from the five transport models are compared with independent flux estimates from four ecosystem models. All inversions detect a strong annual carbon sink in the southwestern part of Europe and a source in the northeastern part. Such a dipole, although robust with respect to the network of stations used, remains uncertain and still to be confirmed with independent estimates. Comparison of the seasonal variations of the inversion-based net land biosphere fluxes (NEP) with the NEP predicted by the ecosystem models indicates a shift of the maximum uptake period, from June in the ecosystem models to July in the inversions. This study thus improves on the understanding of the carbon cycle at sub-continental scales over Europe, demonstrating that the methodology for understanding regional carbon cycle is advancing, which increases its relevance in terms of issues related to regional mitigation policies.
Published: 2010

38. Can we reconcile atmospheric estimates of the Northern terrestrial carbon sink with land-based accounting?

Author: Frédéric Chevallier, Wouter Peters, Philippe Peylin, Philippe Ciais, F. M. Bréon, Shilong Piao, Z. Poussi, E.-D. Schulze, Anatoly Shvidenko, Christian Rödenbeck, Sebastiaan Luyssaert, Matthias Jonas, Anthony W. King, Josep G. Canadell, 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), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Vrije Universiteit Amsterdam [Amsterdam] (VU), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), International Institute for Applied Systems Analysis [Laxenburg] (IIASA), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University [Beijing], Max-Planck-Institut für Biogeochemie (MPI-BGC), Wageningen University and Research [Wageningen] (WUR), 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), and 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)
Subjects: Meteorologie en Luchtkwaliteit, 010504 meteorology & atmospheric sciences, Meteorology and Air Quality, Accounting, co2 sources, 010501 environmental sciences, 01 natural sciences, inversion, Flux (metallurgy), Land based, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, General Environmental Science, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, WIMEK, business.industry, Northern Hemisphere, emissions, General Social Sciences, Carbon sink, dioxide exchange, Inversion (meteorology), balance, sensitivity, fluxes, 13. Climate action, Climatology, transport, Environmental science, Terrestrial ecosystem, Longitude, business
Abstract: We estimate the northern hemisphere (NH) terrestrial carbon sink by comparing four recent atmospheric inversions with land-based C accounting data for six large northern regions. The mean NH terrestrial CO2 sink from the inversion models is 1.7PgCyear-1 over the period 2000-2004. The uncertainty of this estimate is based on the typical individual (1-sigma) precision of one inversion (0.9PgCyear-1) and is consistent with the min-max range of the four inversion mean estimates (0.8PgCyear-1). Inversions agree within their uncertainty for the distribution of the NH sink of CO2 in longitude, with Russia being the largest sink. The land-based accounting estimate of NH carbon sink is 1.7PgCyear-1 for the sum of the six regions studied. The 1-sigma uncertainty of the land-based estimate (0.3PgCyear-1) is smaller than that of atmospheric inversions, but no independent land-based flux estimate is available to derive a 'between accounting model' uncertainty. Encouragingly, the top-down atmospheric and the bottom-up land-based methods converge to consistent mean estimates within their respective errors, increasing the confidence in the overall budget. These results also confirm the continued critical role of NH terrestrial ecosystems in slowing down the atmospheric accumulation of anthropogenic CO2.
Published: 2010
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39. Importance of methane and nitrous oxide for Europe’s terrestrial greenhouse-gas balance

Author: Sebastiaan Luyssaert, John H. C. Gash, Christian Rödenbeck, Jean-François Soussana, Philippe Bousquet, Annette Freibauer, Ivan A. Janssens, Pete Smith, John Grace, Ernst Detlef Schulze, Giuseppe Etiope, Ingeborg Levin, B. Thiruchittampalam, Philippe Peylin, Gert-Jan Nabuurs, Martin Wattenbach, Wouter Peters, Z. Poussi, Jens Nieschulze, P. Ciais, A. J. Dolman, Nicolas Vuichard, Martin Heimann, Riccardo Valentini, Hydrology and Geo-environmental sciences, Biogéochimie et écologie des milieux continentaux (Bioemco), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Department of Biology, University of Antwerp (UA), College of Forestry [Corvallis], Oregon State University (OSU), 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, UR 0874 Unité de recherche sur l'Ecosystème Prairial, Institut National de la Recherche Agronomique (INRA)-Unité de recherche sur l'Ecosystème Prairial (UREP)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA), Institut National de la Recherche Agronomique (INRA), inconnu, Inconnu, Institute of Ecology and Resource Management, University of Edinburgh, Institut für Umweltphysik [Heidelberg], Universität Heidelberg [Heidelberg], University of Tuscia, Laboratoire d'Analyse, Topologie, Probabilités (LATP), Université Paul Cézanne - Aix-Marseille 3-Université de Provence - Aix-Marseille 1-Centre National de la Recherche Scientifique (CNRS), Meteorology and Air Quality Department [Wageningen] (MAQ), Wageningen University and Research [Wageningen] (WUR), Max-Planck-Institut für Biogeochemie (MPI-BGC), Department of Forest Resources and Environment, School of Biological Sciences [Aberdeen], University of Aberdeen, Alterra [Wageningen] (ESS-CC), Centre for Water and Climate [Wageningen], European Forest Institute = Institut Européen de la Forêt = Euroopan metsäinstituutti (EFI), Institute of Hydrology, Université Paris-Saclay-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), Unité de recherche d'Agronomie (UA), Wageningen University and Research Centre [Wageningen] (WUR), 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), 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), Johann Heinrich von Thünen Institut, Unité de recherche sur l'Ecosystème Prairial (UREP), Institute of Biological and Environmental Sciences [Aberdeen], Heidelberg University, University of Stuttgart, Vrije Universiteit Amsterdam [Amsterdam] (VU), Università degli studi della Tuscia [Viterbo], Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Wageningen University and Research Centre (WUR), Istituto Nazionale di Geofisica e Vulcanologia, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Natural Environment Research Council (NERC), 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), VU University Amsterdam, Tuscia University, Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), and 0 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum
Subjects: Meteorologie en Luchtkwaliteit, 010504 meteorology & atmospheric sciences, Meteorology and Air Quality, [SDV]Life Sciences [q-bio], Atmospheric carbon cycle, Carbon dioxide equivalent, 550 - Earth sciences, Soil science, Carbon sequestration, 01 natural sciences, 7. Clean energy, atmospheric methane, carbon budget, Environmental protection, 11. Sustainability, SDG 13 - Climate Action, Wageningen Environmental Research, Carbon credit, sink, Biology, soils, 0105 earth and related environmental sciences, 2. Zero hunger, WIMEK, Carbon offset, emissions, 04 agricultural and veterinary sciences, 15. Life on land, fluxes, Centrum Ecosystemen, Centre for Ecosystem Studies, Climate change mitigation, 13. Climate action, [SDU]Sciences of the Universe [physics], Greenhouse gas, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, General Earth and Planetary Sciences, Environmental science, co2, Kyoto Protocol, ecosystems
Abstract: Climate change negotiations aim to reduce net greenhouse-gas emissions by encouraging direct reductions of emissions and crediting countries for their terrestrial greenhouse-gas sinks. Ecosystem carbon dioxide uptake has offset nearly 10% of Europe's fossil fuel emissions, but not all of this may be creditable under the rules of the Kyoto Protocol. Although this treaty recognizes the importance of methane and nitrous oxide emissions, scientific research has largely focused on carbon dioxide. Here we review recent estimates of European carbon dioxide, methane and nitrous oxide fluxes between 2000 and 2005, using both top-down estimates based on atmospheric observations and bottom-up estimates derived from ground-based measurements. Both methods yield similar fluxes of greenhouse gases, suggesting that methane emissions from feedstock and nitrous oxide emissions from arable agriculture are fully compensated for by the carbon dioxide sink provided by forests and grasslands. As a result, the balance for all greenhouse gases across Europe's terrestrial biosphere is near neutral, despite carbon sequestration in forests and grasslands. The trend towards more intensive agriculture and logging is likely to make Europe's land surface a significant source of greenhouse gases. The development of land management policies which aim to reduce greenhouse-gas emissions should be a priority. © 2009 Macmillan Publishers Limited. All rights reserved.
Published: 2009

40. Comparing atmospheric transport models for future regional inversions over Europe – Part 1: mapping the atmospheric CO2 signals

Author: László Haszpra, Christian Rödenbeck, Lise M. Frohn, T. Aalto, Jesper H. Christensen, R. Santaguida, Camilla Geels, Philippe Peylin, Philippe Bousquet, Philippe Ciais, M. Ramonet, Alex Vermeulen, Roger Dargaville, Ute Karstens, Jørgen Brandt, Manuel Gloor, and G. Carboni
Subjects: Atmospheric Science, Daytime, 010504 meteorology & atmospheric sciences, Mesoscale meteorology, Northern Hemisphere, Magnitude (mathematics), Sampling (statistics), 010501 environmental sciences, Effects of high altitude on humans, 01 natural sciences, Troposphere, 13. Climate action, Diurnal cycle, Climatology, Environmental science, 0105 earth and related environmental sciences
Abstract: The CO2 source and sink distribution across Europe can be estimated in principle through inverse methods by combining CO2 observations and atmospheric transport models. Uncertainties of such estimates are mainly due to insufficient spatiotemporal coverage of CO2 observations and biases of the models. In order to assess the biases related to the use of different models the CO2 concentration field over Europe has been simulated with five different Eulerian atmospheric transport models as part of the EU-funded AEROCARB project, which has the main goal to estimate the carbon balance of Europe. In contrast to previous comparisons, here both global coarse-resolution and regional higher-resolution models are included. Continuous CO2 observations from continental, coastal and mountain sites as well as flasks sampled on aircrafts are used to evaluate the models' ability to capture the spatiotemporal variability and distribution of lower troposphere CO2 across Europe. 14CO2 is used in addition to evaluate separately fossil fuel signal predictions. The simulated concentrations show a large range of variation, with up to ~10 ppm higher surface concentrations over Western and Central Europe in the regional models with highest (mesoscale) spatial resolution. The simulation – data comparison reveals that generally high-resolution models are more successful than coarse models in capturing the amplitude and phasing of the observed short-term variability. At high-altitude stations the magnitude of the differences between observations and models and in between models is less pronounced, but the timing of the diurnal cycle is not well captured by the models. The data comparisons show also that the timing of the observed variability on hourly to daily time scales at low-altitude stations is generally well captured by all models. However, the amplitude of the variability tends to be underestimated. While daytime values are quite well predicted, nighttime values are generally underpredicted. This is a reflection of the different mixing regimes during day and night combined with different vertical resolution between models. In line with this finding, the agreement among models is increased when sampling in the afternoon hours only and when sampling the mixed portion of the PBL, which amounts to sampling at a few hundred meters above ground. The main recommendations resulting from the study for constraining land carbon sources and sinks using high-resolution concentration data and state-of-the art transport models through inverse methods are given in the following: 1) Low altitude stations are presently preferable in inverse studies. If high altitude stations are used then the model level that represents the specific sites should be applied, 2) at low altitude sites only the afternoon values of concentrations can be represented sufficiently well by current models and therefore afternoon values are more appropriate for constraining large-scale sources and sinks in combination with transport models, 3) even when using only afternoon values it is clear that data sampled several hundred meters above ground can be represented substantially more robustly in models than surface station records, which emphasize the use of tower data in inverse studies and finally 4) traditional large scale transport models seem not sufficient to resolve fine-scale features associated with fossil fuel emissions, as well as larger-scale features like the concentration distribution above the south-western Europe. It is therefore recommended to use higher resolution models for interpretation of continental data in future studies.
Published: 2007

41. Global carbon budget 2014

Author: Joanna Isobel House, Roland Séférian, Stephen Sitch, Robbie M. Andrew, C. Cosca, Jörg Schwinger, Thomas A. Boden, Truls Johannessen, Michael R. Raupach, Pieter P. Tans, Nicolas Metzl, Jeremy T. Mathis, Ying-Ping Wang, R. Moriarty, G. R. van der Werf, Christian Rödenbeck, Peter Landschützer, Ute Schuster, Benjamin D. Stocker, Benjamin Poulter, Taro Takahashi, Kees Klein Goldewijk, Joachim Segschneider, Philippe Ciais, Almut Arneth, Andrew Lenton, Pierre Friedlingstein, Frédéric Chevallier, Laurent Bopp, C. Le Quéré, Etsushi Kato, Wouter Peters, Atul K. Jain, Camilla S. Landa, T. Ono, Ning Zeng, Charles D. Koven, Ralph F. Keeling, Yann Bozec, Joe Salisbury, Ivan D. Lima, Yukihiro Nojiri, Are Olsen, Steve D Jones, Shushi Peng, Mario Hoppema, Richard A. Houghton, Tobias Steinhoff, Bronte Tilbrook, Glen P. Peters, S. Saito, Benjamin Pfeil, Andy Wiltshire, Adrienne J. Sutton, Louise Chini, Josep G. Canadell, Vassilis Kitidis, Ian Harris, Pierre Regnier, Gregg Marland, Nicolas Viovy, Rik Wanninkhof, Tyndall Centre for Climate Change Research, University of East Anglia [Norwich] (UEA), Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), 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), Karlsruhe Institute of Technology (KIT), College of Life and Environmental Sciences [Exeter], University of Exeter, NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, CHImie Marine (CHIM), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Global Carbon Project, CSIRO Marine and Atmospheric Research, Department of Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), Climatic Research Unit, University of East Anglia, Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Woods Hole Oceanographic Institution (WHOI), University of Bristol [Bristol], Department of Atmospheric Sciences [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Geophysical Institute [Bergen] (GFI / BiU), University of Bergen (UiB), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Institute of Applied Energy (IAE), Earth Science Division [LBNL Berkeley] (ESD), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Plymouth Marine Laboratory (PML), Plymouth Marine Laboratory, PBL Netherlands Environmental Assessment Agency, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Institute of Biogeochemistry and Pollutant Dynamics [ETH Zürich] (IBP), Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Oceans and Atmosphere Flagship (CSIRO), CSIRO Oceans and Atmosphere Flagship, Appalachian State University, University, Équipe CO2 (E-CO2), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institute of Cancer Epidemiology, Danish Cancer Society, National Institute of Advanced Industrial Science and Technology (AIST), Swedish Defence Research Agency [Stockholm] (FOI), Meteorology and Air Quality Department [Wageningen] (MAQ), Wageningen University and Research [Wageningen] (WUR), Montana State University (MSU), Australian National University (ANU), Université libre de Bruxelles (ULB), Max-Planck-Institut für Biogeochemie (MPI-BGC), Japan Meteorological Agency (JMA), University of New Hampshire (UNH), Météo-France [Paris], Météo France, Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Imperial College London, Oeschger Centre for Climate Change Research (OCCR), University of Bern, Joint Institute for the Study of the Atmosphere and Ocean (JISAO), University of Washington [Seattle], Department of Mechanical Science and Engineering, Nagoya University, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Faculty of Earth and Life Sciences [Amsterdam] (FALW), Vrije Universiteit Amsterdam [Amsterdam] (VU), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], Department of Atmospheric and Oceanic Science [College Park] (AOSC), Earth and Climate, Amsterdam Global Change Institute, 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), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), and Météo-France
Subjects: Meteorologie en Luchtkwaliteit, ENVIRONMENT SIMULATOR JULES, 010504 meteorology & atmospheric sciences, earth system model, environment simulator jules, 010501 environmental sciences, 01 natural sciences, land-use change, chemistry.chemical_compound, ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION, ddc:550, SDG 13 - Climate Action, Land use, land-use change and forestry, DIOXIDE EMISSIONS, lcsh:Environmental sciences, lcsh:GE1-350, EARTH SYSTEM MODEL, lcsh:QE1-996.5, Biosphere, terrestrial ecosystems, Vegetation, LAND-USE CHANGE, FLUX VARIABILITY, Climatology, Carbon dioxide, INTERANNUAL VARIABILITY, FIRE EMISSIONS, international-trade, Meteorology and Air Quality, 530 Physics, interannual variability, Climate change, co2 flux variability, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], Carbon cycle, Latitude, ANTHROPOGENIC CO2 UPTAKE, Deforestation, Mathematics and natural scienses: 400::Zoology and botany: 480::Ecology: 488 [VDP], TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY, SDG 14 - Life Below Water, ATMOSPHERIC CO2, 0105 earth and related environmental sciences, atmospheric co2, WIMEK, Généralités, 15. Life on land, dioxide emissions, TERRESTRIAL ECOSYSTEMS, lcsh:Geology, Earth sciences, mixed-layer scheme, chemistry, 13. Climate action, General Earth and Planetary Sciences, Environmental science, Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488 [VDP], MathematicsofComputing_DISCRETEMATHEMATICS
Abstract: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates, consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover-change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models forced by observed climate, CO2, and land-cover-change (some including nitrogen-carbon interactions). We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2004-2013) EFF was 8.9 ± 0.4 GtC yr-1, ELUC 0.9 ± 0.5 GtC yr-1, GATM 4.3 ± 0.1 GtC yr-1, SOCEAN 2.6 ± 0.5 GtC yr-1, and SLAND 2.9 ± 0.8 GtC yr-1. For year 2013 alone, EFF grew to 9.9 ± 0.5 GtC yr-1, 2.3% above 2012, continuing the growth trend in these emissions, ELUC was 0.9 ± 0.5 GtC yr-1, GATM was 5.4 ± 0.2 GtC yr-1, SOCEAN was 2.9 ± 0.5 GtC yr-1, and SLAND was 2.5 ± 0.9 GtC yr-1. GATM was high in 2013, reflecting a steady increase in EFF and smaller and opposite changes between SOCEAN and SLAND compared to the past decade (2004-2013). The global atmospheric CO2 concentration reached 395.31 ± 0.10 ppm averaged over 2013. We estimate that EFF will increase by 2.5% (1.3-3.5%) to 10.1 ± 0.6 GtC in 2014 (37.0 ± 2.2 GtCO2 yr-1), 65% above emissions in 1990, based on projections of world gross domestic product and recent changes in the carbon intensity of the global economy. From this projection of EFF and assumed constant ELUC for 2014, cumulative emissions of CO2 will reach about 545 ± 55 GtC (2000 ± 200 GtCO2) for 1870-2014, about 75% from EFF and 25% from ELUC. This paper documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this living data set (Le Quéré et al. 2013, 2014). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP-2014)., 0, SCOPUS: ar.j, info:eu-repo/semantics/published
Published: 2015

42. Global Carbon Budget 2015

Author: Douglas Vandemark, Robert J. Andres, Charles D. Koven, Christian Rödenbeck, Benjamin Poulter, Taro Takahashi, Leticia Barbero, Yukihiro Nojiri, Fiz F. Pérez, Judith Hauck, Jörg Schwinger, S. Nakaoka, Ralph F. Keeling, Etsushi Kato, Gregor Rehder, Pieter P. Tans, Aki Murata, Thanos Gkritzalis, C. Le Quéré, Nathalie Lefèvre, Julia E. M. S. Nabel, R. Moriarty, T. Ono, Laurent Bopp, Tatiana Ilyina, Jinfeng Chang, Thomas A. Boden, Joanna Isobel House, Jan Ivar Korsbakken, Roland Séférian, Atul K. Jain, Marianela Fader, Frank J. Millero, S. van Heuven, Philippe Ciais, Are Olsen, Adrienne J. Sutton, Richard A. Houghton, Louise Chini, Robbie M. Andrew, Denis Pierrot, Tobias Steinhoff, David R. Munro, Nicolas Metzl, Richard A. Feely, Peter Landschützer, Dorothee C. E. Bakker, Pierre Friedlingstein, I. T. van der Laan-Luijkx, Siv K. Lauvset, Kees Klein Goldewijk, Ute Schuster, Benjamin D. Stocker, Andrew Lenton, Ian Harris, Vassilis Kitidis, Stephen Sitch, Ning Zeng, Bronte Tilbrook, Glen P. Peters, S. Saito, Benjamin Pfeil, Andy Wiltshire, Sönke Zaehle, Ivan D. Lima, Karen O'Brien, Almut Arneth, Frédéric Chevallier, G. R. van der Werf, Nicolas Viovy, Josep G. Canadell, Natural Environment Research Council (UK), Norwegian Research Council, European Commission, Department of Energy (US), Helmholtz Association, Leverhulme Trust, Department of Energy and Climate Change (UK), European Research Council, National Aeronautics and Space Administration (US), Department for Environment, Food and Rural Affairs (UK), Department of Commerce (US), National Science Foundation (US), Ministry of Environment (Japan), Institut national des sciences de l'Univers (France), Institut Polaire Français Paul Emile Victor, German Research Foundation, Gobierno de España, Bundesministerium für Bildung und Forschung, European Space Agency, Research Council of Norway, Swiss National Science Foundation, National Energy Research Scientific Computing Center (US), Scripps Institution of Oceanography (US), Leerstoel Ridder, Environmental Sciences, Sub Algemeen Math. Inst, Tyndall Centre for Climate Change Research, University of East Anglia [Norwich] (UEA), Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), Oceans and Atmosphere Research, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), College of Life and Environmental Sciences [Exeter], University of Exeter, Exeter Climate Systems, College of Engineering, Mathematics and Physical Science, University of Exeter, Exeter, United Kingdom, Carbon Dioxide Information Analysis Center [Oak Ridge] (CDIAC), U.S. Department of Energy [Washington] (DOE), Woods Hole Oceanographic Institution (WHOI), University of Bristol [Bristol], Scripps Institution of Oceanography (SIO), University of California [San Diego] (UC San Diego), University of California-University of California, NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami [Coral Gables], 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), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), 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 Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, ICOS-ATC (ICOS-ATC), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), Flanders Marine Institute, VLIZ, Climatic Research Unit [Norwich] (CRU), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Max Planck Institute for Meteorology (MPI-M), Max-Planck-Gesellschaft, Department of Atmospheric Sciences [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, The Institute of Applied Energy (IAE), Plymouth Marine Laboratory (PML), Plymouth Marine Laboratory, PBL Netherlands Environmental Assessment Agency, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Institute of Applied Energy (IAE), Institute of Biogeochemistry and Pollutant Dynamics [ETH Zürich] (IBP), Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Geophysical Institute [Bergen] (GFI / BiU), University of Bergen (UiB), Austral, Boréal et Carbone (ABC), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Oceans and Atmosphere Flagship (CSIRO), CSIRO Oceans and Atmosphere Flagship, Équipe CO2 (E-CO2), Department of Ocean Sciences, Department of Atmospheric and Oceanic Sciences [Boulder] (ATOC), University of Colorado [Boulder], Institute of Arctic and Alpine Research (INSTAAR), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), National Institute for Environmental Studies (NIES), National Institute of Advanced Industrial Science and Technology (AIST), Instituto de Investigaciones Marinas, Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Cooperative Institute for Marine and Atmospheric Studies (CIMAS), University of Miami [Coral Gables]-University of Miami [Coral Gables], Max-Planck-Institut für Biogeochemie (MPI-BGC), Japan Meteorological Agency (JMA), Météo-France [Paris], Météo France, Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Imperial College London, Joint Institute for the Study of the Atmosphere and Ocean (JISAO), University of Washington [Seattle], Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], Wageningen University and Research [Wageningen] (WUR), Faculty of Earth and Life Sciences [Amsterdam] (FALW), Vrije Universiteit Amsterdam [Amsterdam] (VU), Centre for Isotope Research [Groningen] (CIO), University of Groningen [Groningen], Ocean Process Analysis Laboratory, University of New Hampshire (UNH), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], Max Planck Institute for Biogeochemistry (MPI-BGC), Department of Atmospheric and Oceanic Science [College Park] (AOSC), European Project: 603542,EC:FP7:ENV,FP7-ENV-2013-two-stage,LUC4C(2013), European Project: 282672,EC:FP7:ENV,FP7-ENV-2011,EMBRACE(2011), European Project: 264879,EC:FP7:ENV,FP7-ENV-2010,CARBOCHANGE(2011), Scripps Institution of Oceanography (SIO - UC San Diego), University of California (UC)-University of California (UC), 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), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Institute of Arctic Alpine Research [University of Colorado Boulder] (INSTAAR), Météo-France, Earth and Climate, and Geology and Geochemistry
Subjects: Meteorologie en Luchtkwaliteit, ENVIRONMENT SIMULATOR JULES, 010504 meteorology & atmospheric sciences, 010501 environmental sciences, Atmospheric sciences, 7. Clean energy, 01 natural sciences, Physical Geography and Environmental Geoscience, chemistry.chemical_compound, FOSSIL-FUEL COMBUSTION, CO2 FLUX VARIABILITY, SDG 13 - Climate Action, Meteorology & Atmospheric Sciences, Geosciences, Multidisciplinary, DIOXIDE EMISSIONS, lcsh:Environmental sciences, lcsh:GE1-350, EARTH SYSTEM MODEL, lcsh:QE1-996.5, Biosphere, Geology, Vegetation, LAND-USE CHANGE, COVER CHANGE, Carbon dioxide, Physical Sciences, INTERANNUAL VARIABILITY, Meteorology and Air Quality, Life on Land, MIXED-LAYER SCHEME, Climate change, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], 12. Responsible consumption, Carbon cycle, Latitude, Atmospheric Sciences, Atmosphere, Deforestation, Life Science, SDG 14 - Life Below Water, ATMOSPHERIC CO2, 0105 earth and related environmental sciences, Science & Technology, WIMEK, 15. Life on land, Climate Action, lcsh:Geology, Geochemistry, chemistry, 13. Climate action, General Earth and Planetary Sciences, Environmental science
Abstract: 48 pages, 9 figures, 10 tables.-- Proyecto Carbochange, Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates as well as consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover-change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models forced by observed climate, CO2, and land-cover change (some including nitrogen–carbon interactions). We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2005–2014), EFF was 9.0 ± 0.5 GtC yr−1, ELUC was 0.9 ± 0.5 GtC yr−1, GATM was 4.4 ± 0.1 GtC yr−1, SOCEAN was 2.6 ± 0.5 GtC yr−1, and SLAND was 3.0 ± 0.8 GtC yr−1. For the year 2014 alone, EFF grew to 9.8 ± 0.5 GtC yr−1, 0.6 % above 2013, continuing the growth trend in these emissions, albeit at a slower rate compared to the average growth of 2.2 % yr−1 that took place during 2005–2014. Also, for 2014, ELUC was 1.1 ± 0.5 GtC yr−1, GATM was 3.9 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1, and SLAND was 4.1 ± 0.9 GtC yr−1. GATM was lower in 2014 compared to the past decade (2005–2014), reflecting a larger SLAND for that year. The global atmospheric CO2 concentration reached 397.15 ± 0.10 ppm averaged over 2014. For 2015, preliminary data indicate that the growth in EFF will be near or slightly below zero, with a projection of −0.6 [range of −1.6 to +0.5] %, based on national emissions projections for China and the USA, and projections of gross domestic product corrected for recent changes in the carbon intensity of the global economy for the rest of the world. From this projection of EFF and assumed constant ELUC for 2015, cumulative emissions of CO2 will reach about 555 ± 55 GtC (2035 ± 205 GtCO2) for 1870–2015, about 75 % from EFF and 25 % from ELUC. This living data update documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this data set (Le Quéré et al., 2015, 2014, 2013). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2015)., NERC provided funding to C. Le Quéré, R. Moriarty, and the GCP through their International Opportunities Fund specifically to support this publication (NE/103002X/1). G. P. Peters and R. M. Andrew were supported by the Norwegian Research Council (236296). J. G. Canadell was supported by the Australian Climate Change Science Programme. S. Sitch was supported by EU FP7 for funding through projects LUC4C (GA603542). R. J. Andres was supported by US Department of Energy, Office of Science, Biological and Environmental Research (BER) programmes under US Department of Energy contract DE-AC05- 00OR22725. T. A. Boden was supported by US Department of Energy, Office of Science, Biological and Environmental Research (BER) programmes under US Department of Energy contract DE-AC05-00OR22725.J. I. House was supported by the Leverhulme foundation and the EU FP7 through project LUC4C (GA603542). P. Friedlingstein was supported by the EU FP7 for funding through projects LUC4C (GA603542) and EMBRACE (GA282672). A. Arneth was supported by the EU FP7 for funding through LUC4C (603542), and the Helmholtz foundation and its ATMO programme. D. C. E. Bakker was supported by the EU FP7 for funding through project CARBOCHANGE (284879), the UK Ocean Acidification Research Programme (NE/H017046/1; funded by the Natural Environment Research Council, the Department for Energy and Climate Change and the Department for Environment, Food and Rural Affairs). L. Barbero was supported by NOAA’s Ocean Acidification Program and acknowledges support for this work from the National Aeronautics and Space Administration (NASA) ROSES Carbon Cycle Science under NASA grant 13-CARBON13_2-0080. P. Ciais acknowledges support from the European Research Council through Synergy grant ERC-2013-SyG-610028 “IMBALANCE-P”. M. Fader was supported by the EU FP7 for funding through project LUC4C (GA603542). J. Hauck was supported by the Helmholtz Postdoc Programme (Initiative and Networking Fund of the Helmholtz Association). R. A. Feely and A. J. Sutton were supported by the Climate Observation Division, Climate Program Office, NOAA, US Department of Commerce. A. K. Jain was supported by the US National Science Foundation (NSF AGS 12-43071) the US Department of Energy, Office of Science and BER programmes (DOE DE-SC0006706) and NASA LCLUC programme (NASA NNX14AD94G). E. Kato was supported by the ERTDF (S-10) from the Ministry of Environment, Japan. K. Klein Goldewijk was supported by the Dutch NWO VENI grant no. 863.14.022. S. K. Lauvset was supported by the project “Monitoring ocean acidification in Norwegian waters” from the Norwegian Ministry of Climate and Environment. V. Kitidis was supported by the EU FP7 for funding through project CARBOCHANGE (264879). C. Koven was supported by the Director, Office of Science, Office of Biological and Environmental Research of the US Department of Energy under contract no. DE-AC02-05CH11231 as part of their Regional and Global Climate Modeling Program. P. Landschützer was supported by GEOCarbon. I. T. van der Lann-Luijkx received financial support from OCW/NWO for ICOS-NL and computing time from NWO (SH-060-13). I. D. Lima was supported by the US National Science Foundation (NSF AGS-1048827). N. Metzl was supported by Institut National des Sciences de l’Univers (INSU) and Institut Paul Emile Victor (IPEV) for OISO cruises. D. R. Munro was supported by the US National Science Foundation (NSF PLR-1341647 and NSF AOAS-0944761). J. E. M. S. Nabel was supported by the German Research Foundation’s Emmy Noether Programme (PO1751/1-1) and acknowledges Julia Pongratz and Kim Naudts for their contributions. Y. Nojiri and S. Nakaoka were supported by the Global Environment Research Account for National Institutes (1432) by the Ministry of Environment of Japan. A. Olsen appreciates support from the Norwegian Research Council (SNACS, 229752). F. F. Pérez were supported by BOCATS (CTM2013-41048-P) project co-founded by the Spanish government and the Fondo Europeo de Desarrollo Regional (FEDER). B. Pfeil was supported through the European Union’s Horizon 2020 research and innovation programme AtlantOS under grant agreement no. 633211. D. Pierrot was supported by NOAA through the Climate Observation Division of the Climate Program Office. B. Poulter was supported by the EU FP7 for funding through GEOCarbon. G. Rehder was supported by BMBF (Bundesministerium für Bildung und Forschung) through project ICOS, grant no. 01LK1224D. U. Schuster was supported by NERC UKOARP (NE/H017046/1), NERC RAGANRoCC (NE/K002473/1), the European Space Agency (ESA) OceanFlux Evolution project, and EU FP7 CARBOCHANGE (264879). T. Steinhoff was supported by ICOS-D (BMBF FK 01LK1101C) and EU FP7 for funding through project CARBOCHANGE (264879). J. Schwinger was supported by the Research Council of Norway through project EVA (229771). T. Takahashi was supported by grants from NOAA and the Comer Education and Science Foundation. B. Tilbrook was supported by the Australian Department of Environment and the Integrated Marine Observing System. B. D. Stocker was supported by the Swiss National Science Foundation and FP7 funding through project EMBRACE (282672). S. van Heuven was supported by the EU FP7 for funding through project CARBOCHANGE (264879). G. R. van der Werf was supported by the European Research Council (280061). A. Wiltshire was supported by the Joint UK DECC/Defra Met Office Hadley Centre Climate Programme (GA01101) and EU FP7 Funding through project LUC4C (603542). S. Zaehle was supported by the European Research Council (ERC) under the Eu ropean Union’s Horizon 2020 research and innovation programme (QUINCY; grant agreement no. 647204). ISAM (PI: Atul K. Jain) simulations were carried out at the National Energy Research Scientific Computing Center (NERSC), which is supported by the US DOE under contract DE-AC02-05CH11231. Contributions from the Scripps Institution of Oceanography were supported under DoE grant DE-SC0012167 and by Schmidt Philanthropies. This is NOAA-PMEL contribution number 4400
Published: 2015

43. Erratum to: Constraints on oceanic meridional heat transport from combined measurements of oxygen and carbon

Author: S. Khatiwala, Christian Rödenbeck, Ralph F. Keeling, Britton B. Stephens, Laure Resplandy, Andrew R. Jacobson, and J. D. Bent
Subjects: Atmospheric Science, 010504 meteorology & atmospheric sciences, chemistry, Climatology, Environmental science, chemistry.chemical_element, Zonal and meridional, 010502 geochemistry & geophysics, 01 natural sciences, Oxygen, Carbon, 0105 earth and related environmental sciences
Published: 2017

44. Perspectives and Integration in SOLAS Science

Author: Franziska Ziska, Oliver Schneising, Astrid Bracher, Christian Rödenbeck, Nicholas R. Bates, Ute Schuster, E. S. Saltzman, Steve R. Arnold, Arancha Lana, Christoph S. Garbe, Pierre-Yves Le Traon, Nazli Olgun, Jordi Font, James D. Lee, Thomas G. Bell, Laurent Bopp, Douglas W.R. Wallace, Lyatt Jaeglé, Katja Fennel, Véronique Garçon, Benjamin Pfeil, Are Olsen, Alfonso Saiz-Lopez, Gerrit de Leeuw, Alex R. Baker, Jacqueline Boutin, Hernann W. Bange, Shital S. Rohekar, Lucy J. Carpenter, Roland Séférian, Tobias Steinhoff, John P. Burrows, Tobias Friedrich, Birgit Quack, Lisa A. Miller, Nicolas Reul, Nicolas Gruber, Katie A. Read, Philip W. Boyd, Dorothee C. E. Bakker, Peter S. Liss, Liss, Peter S., Johnson, Martin T., DYNBIO LEGOS, 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)-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), Interactions et Processus au sein de la couche de Surface Océanique (IPSO), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), 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), Liss, Peter S., Johnson, Martin T., 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)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), 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), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), and 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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636))
Subjects: 0106 biological sciences, Particulate organic carbon, Geography, 010504 meteorology & atmospheric sciences, 13. Climate action, 010604 marine biology & hydrobiology, Realm, Physical geography, Atmosphere (architecture and spatial design), 01 natural sciences, Data science, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, 0105 earth and related environmental sciences
Abstract: Garçon, Véronique ... et. al.-- 60 pages, 27 figures, Why a chapter on Perspectives and Integration in SOLAS Science in this book? SOLAS science by its nature deals with interactions that occur: across a wide spectrum of time and space scales, involve gases and particles, between the ocean and the atmosphere, across many disciplines including chemistry, biology, optics, physics, mathematics, computing, socio economics and consequently interactions between many different scientists and across scientific generations. This chapter provides a guide through the remarkable diversity of cross-cutting approaches and tools in the gigantic puzzle of the SOLAS realm. Here we overview the existing prime components of atmospheric and oceanic observing systems, with the acquisition of ocean–atmosphere observables either from in situ or from satellites, the rich hierarchy of models to test our knowledge of Earth System functioning, and the tremendous efforts accomplished over the last decade within the COST Action 735 and SOLAS Integration project frameworks to understand, as best we can, the current physical and biogeochemical state of the atmosphere and ocean commons. A few SOLAS integrative studies illustrate the full meaning of interactions, paving the way for even tighter connections between thematic fields. Ultimately, SOLAS research will also develop with an enhanced consideration of societal demand while preserving fundamental research coherency
Published: 2014

45. The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges

Author: Reiner Schnur, Simon Blessing, Christian Rödenbeck, Pierre-Philippe Mathieu, B. Pinty, Gregor Schürmann, A. Hooker‐Stroud, S. Kemp, C. Sebald, A. Terwisscha van Scheltinga, Veronika Gayler, Christian Reick, Martin Heimann, Wouter Dorigo, Douglas I. Kelley, Jennifer Grant, Peter Rayner, Tilo Ziehn, Nadine Gobron, M. Vossbeck, Heinrich Widmann, Ralf Giering, Jens Kattge, Wolfgang Knorr, Tomomichi Kato, Christoph Köstler, E. N. Koffi, Klaus Scipal, Tobias Stacke, Marko Scholze, Thomas Kaminski, Sönke Zaehle, Sander Houweling, Fastopt GmbH, D-20357 Hamburg, Germany, Department of Physical Geography and Ecosystem Science [Lund], Lund University [Lund], Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, School of Earth Sciences [Melbourne], Faculty of Science [Melbourne], University of Melbourne-University of Melbourne, Department of Geodesy and Geoinformation [Wien], Vienna University of Technology (TU Wien), Max Planck Institute for Meteorology (MPI-M), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), University of Bristol [Bristol], 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), Macquarie University [Sydney], European Space Agency (ESA), Agence Spatiale Européenne (ESA), German Climate Computing Center (DKRZ), CSIRO Marine and Atmospheric Research [Aspendale], Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), European Project: GOCE-511176-1, European Project: 283080,EC:FP7:ENV,FP7-ENV-2011,GEOCARBON(2011), European Project: 264879,EC:FP7:ENV,FP7-ENV-2010,CARBOCHANGE(2011), Hydrology and Geo-environmental sciences, Earth and Climate, 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), and Agence Spatiale Européenne = European Space Agency (ESA)
Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric Science, 010504 meteorology & atmospheric sciences, Ecology, Meteorology, Mutual consistency, Paleontology, Soil Science, Initialization, Biosphere, Forestry, Aquatic Science, 010502 geochemistry & geophysics, 01 natural sciences, Carbon cycle, Multiple data, Data assimilation, 13. Climate action, Multidisciplinary approach, Systems engineering, Earth system model, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, 0105 earth and related environmental sciences, Water Science and Technology
Abstract: International audience; We present the concept of the Carbon Cycle Data Assimilation System and describeits evolution over the last two decades from an assimilation system around a simplediagnostic model of the terrestrial biosphere to a system for the calibration andinitialization of the land component of a comprehensive Earth system model. Wecritically review the capability of this modeling framework to integrate multiple datastreams, to assess their mutual consistency and with the model, to reduce uncertainties inthe simulation of the terrestrial carbon cycle, to provide, in a traceable manner, reanalysisproducts with documented uncertainty, and to assist the design of the observationalnetwork. We highlight some of the challenges we met and experience we gained, giverecommendations for operating the system, and suggest directions forfuture development.
Published: 2013

46. Sea-air CO2 fluxes in the Southern Ocean for the period 1990-2009

Author: Bronte Tilbrook, Richard J. Matear, Mario Hoppema, Andrew Lenton, Scott C. Doney, Christian Rödenbeck, Nicolas Metzl, S. E. Mikaloff Fletcher, Taro Takahashi, Ben I. McNeil, Rachel M. Law, Dorothee C. E. Bakker, Masao Ishii, Nicole S. Lovenduski, Nicolas Gruber, Pedro M. S. Monteiro, Colm Sweeney, CSIRO Marine and Atmospheric Research Hobart, Castray Esplanade, Hobart Tasmani 7000, Australia, Antarctic Climate and Ecosystems Cooperative Research Centre (ACE-CRC), Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research, Aspendale, VIC, Australia, University of East Anglia [Norwich] (UEA), Woods Hole Oceanographic Institution (WHOI), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Meteorological Research Institute [Tsukuba] (MRI), Japan Meteorological Agency (JMA), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), University of Colorado [Boulder], University of New South Wales [Sydney] (UNSW), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), National Institute of Water and Atmospheric Research [Wellington] (NIWA), South Africa and ocean systems & climate group (CSIR), Max-Planck-Institut, Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], Centre for Australian Weather and Climate Research (CAWCR), CSIRO Wealth from Oceans National Research Flagship and Antarctic Climate and Ecosystems CRC, Institute of Biogeochemistry and Pollutant Dynamics [ETH Zürich] (IBP), Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Department of Oceanography [Cape Town], University of Cape Town, Max-Planck-Institut für Biogeochemie (MPI-BGC), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), and 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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)
Subjects: 0106 biological sciences, Biogeochemical cycle, 010504 meteorology & atmospheric sciences, Surface ocean, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDE.MCG]Environmental Sciences/Global Changes, lcsh:Life, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], 01 natural sciences, Carbon cycle, Flux (metallurgy), Time frame, lcsh:QH540-549.5, Sea air, 14. Life underwater, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Earth-Surface Processes, 010604 marine biology & hydrobiology, lcsh:QE1-996.5, lcsh:Geology, lcsh:QH501-531, 13. Climate action, Climatology, Environmental science, lcsh:Ecology, Ocean heat content, Seasonal cycle
Abstract: International audience; The Southern Ocean (44-75° S) plays a critical role in the global carbon cycle, yet remains one of the most poorly sampled ocean regions. Different approaches have been used to estimate sea-air CO2 fluxes in this region: synthesis of surface ocean observations, ocean biogeochemical models, and atmospheric and ocean inversions. As part of the RECCAP (REgional Carbon Cycle Assessment and Processes) project, we combine these different approaches to quantify and assess the magnitude and variability in Southern Ocean sea-air CO2 fluxes between 1990-2009. Using all models and inversions (26), the integrated median annual sea-air CO2 flux of -0.42 ± 0.07 Pg C yr-1 for the 44-75° S region, is consistent with the -0.27 ± 0.13 Pg C yr-1 calculated using surface observations. The circumpolar region south of 58° S has a small net annual flux (model and inversion median: -0.04 ± 0.07 Pg C yr-1 and observations: +0.04 ± 0.02 Pg C yr-1), with most of the net annual flux located in the 44 to 58° S circumpolar band (model and inversion median: -0.36 ± 0.09 Pg C yr-1 and observations: -0.35 ± 0.09 Pg C yr-1). Seasonally, in the 44-58° S region, the median of 5 ocean biogeochemical models captures the observed sea-air CO2 flux seasonal cycle, while the median of 11 atmospheric inversions shows little seasonal change in the net flux. South of 58° S, neither atmospheric inversions nor ocean biogeochemical models reproduce the phase and amplitude of the observed seasonal sea-air CO2 flux, particularly in the Austral Winter. Importantly, no individual atmospheric inversion or ocean biogeochemical model is capable of reproducing both the observed annual mean uptake and the observed seasonal cycle. This raises concerns about projecting future changes in Southern Ocean CO2 fluxes. The median interannual variability from atmospheric inversions and ocean biogeochemical models is substantial in the Southern Ocean; up to 25% of the annual mean flux, with 25% of this interannual variability attributed to the region south of 58° S. Resolving long-term trends is difficult due to the large interannual variability and short time frame (1990-2009) of this study; this is particularly evident from the large spread in trends from inversions and ocean biogeochemical models. Nevertheless, in the period 1990-2009 ocean biogeochemical models do show increasing oceanic uptake consistent with the expected increase of -0.05 Pg C yr-1 decade-1. In contrast, atmospheric inversions suggest little change in the strength of the CO2 sink broadly consistent with the results of Le Quéré et al. (2007).
Published: 2013

47. An assessment of the Atlantic and Arctic sea-air CO2 fluxes, 1990-2009

Author: Steve D Jones, Rik Wanninkhof, Are Olsen, Nicolas Metzl, Christian Rödenbeck, Nicolas Gruber, Frédéric Chevallier, Aida F. Ríos, Melchor González-Dávila, Nicholas R. Bates, Ute Schuster, Galen A. McKinley, J. Krijnen, Peter Landschützer, Juana Magdalena Santana-Casiano, Taro Takahashi, Amanda R. Fay, Nathalie Lefèvre, Andrew J. Watson, Scott C. Doney, Jeremy T. Mathis, M. Manizza, University of East Anglia [Norwich] (UEA), University of Wisconsin-Madison, Bermuda Institute of Ocean Sciences (BIOS), 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), 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), Woods Hole Oceanographic Institution (WHOI), University of Las Palmas de Gran Canaria (ULPGC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-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), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), National Oceanic and Atmospheric Administration (NOAA), University of Bergen (UiB), Marine Research Institute (IIM-CSIC), IIM-CSIC, Max-Planck-Institut, Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], 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), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-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)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Scripps Institution of Oceanography (SIO), and University of California-University of California
Subjects: 0106 biological sciences, Biogeochemical cycle, 010504 meteorology & atmospheric sciences, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDE.MCG]Environmental Sciences/Global Changes, lcsh:Life, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], 01 natural sciences, Carbon cycle, Atlantic Equatorial mode, lcsh:QH540-549.5, Sea air, 14. Life underwater, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Earth-Surface Processes, Arctic dipole anomaly, 010604 marine biology & hydrobiology, lcsh:QE1-996.5, lcsh:Geology, lcsh:QH501-531, Arctic, 13. Climate action, North Atlantic oscillation, Climatology, Environmental science, Thermohaline circulation, lcsh:Ecology
Abstract: Schuster, Ute at al., The Atlantic and Arctic Oceans are critical components of the global carbon cycle. Here we quantify the net sea–air CO2 flux, for the first time, across different methodologies for consistent time and space scales for the Atlantic and Arctic basins. We present the long-term mean, seasonal cycle, interannual variability and trends in sea–air CO2 flux for the period 1990 to 2009, and assign an uncertainty to each. We use regional cuts from global observations and modeling products, specifically a pCO2-based CO2 flux climatology, flux estimates from the inversion of oceanic and atmospheric data, and results from six ocean biogeochemical models. Additionally, we use basin-wide flux estimates from surface ocean pCO2 observations based on two distinct methodologies. Our estimate of the contemporary sea–air flux of CO2 (sum of anthropogenic and natural components) by the Atlantic between 40° S and 79° N is −0.49 ± 0.05 Pg C yr−1, and by the Arctic it is −0.12 ± 0.06 Pg C yr−1, leading to a combined sea–air flux of −0.61 ± 0.06 Pg C yr−1 for the two decades (negative reflects ocean uptake). We do find broad agreement amongst methodologies with respect to the seasonal cycle in the subtropics of both hemispheres, but not elsewhere. Agreement with respect to detailed signals of interannual variability is poor, and correlations to the North Atlantic Oscillation are weaker in the North Atlantic and Arctic than in the equatorial region and southern subtropics. Linear trends for 1995 to 2009 indicate increased uptake and generally correspond between methodologies in the North Atlantic, but there is disagreement amongst methodologies in the equatorial region and southern subtropics., U. Schuster has been supported by EU grants IP 511176-2 (CARBOOCEAN), 212196 (COCOS), and 264879 (CARBOCHANGE), and UK NERC grant NE/H017046/1 (UKOARP). G. A. McKinley and A. Fay thank NASA for support (NNX08AR68G, NNX11AF53G). P. Landsch ̈ utzer has been supported by EU grant 238366 (GREENCYCLESII). N. Metzl acknowledges the French national funding program LEFE/INSU. Support for N. Gruber has been provided by EU grants 264879 (CARBOCHANGE) and 283080 (GEO-CARBON) S. Doney acknowledges support from NOAA (NOAA-NA07OAR4310098). T. Takahashi is supported by NOAA (NAO80AR4320754).
Published: 2013

48. Atlantic and Arctic sea-air CO2 fluxes, 1990–2009

Author: Nathalie Lefèvre, Are Olsen, N. Gruber, P. Landschutzer, Amanda R. Fay, N. Bates, N. Metzl, J. Mathis, A. J. Watson, Galen A. McKinley, M. Manizza, Ute Schuster, Steve D Jones, J. Krijnen, J. M. Santana-Casiano, M. González-Dávila, F. Chevallier, Taro Takahashi, S. C. Doney, A. F. Rios, Christian Rödenbeck, and R. Wanninkhof
Subjects: 0106 biological sciences, Oceanography, 010504 meteorology & atmospheric sciences, Arctic dipole anomaly, Arctic, 13. Climate action, 010604 marine biology & hydrobiology, Sea air, Environmental science, 14. Life underwater, 01 natural sciences, 0105 earth and related environmental sciences, Arctic geoengineering
Abstract: The Atlantic and Arctic oceans are critical components of the global carbon cycle. Here we quantify the net sea-air CO2 flux, for the first time, across different methodologies for consistent time and space scales, for the Atlantic and Arctic basins. We present the long-term mean, seasonal cycle, interannual variability and trends in sea-air CO2 flux for the period 1990 to 2009, and assign an uncertainty to each. We use regional cuts from global observations and modelling products, specifically a pCO2-based CO2 flux climatology, flux estimates from the inversion of oceanic and atmospheric data, and results from six ocean biogeochemical models. Additionally, we use basin-wide flux estimates from surface ocean pCO2 observations based on two distinct methodologies. Our best estimate of the contemporary sea-to-air flux of CO2 (sum of anthropogenic and natural components) by the Atlantic between 40° S and 79° N is −0.49 ± 0.11 Pg C yr−1 and by the Arctic is −0.12 ± 0.06 Pg C yr−1, leading to a combined sea-to-air flux of −0.61 ± 0.12 Pg C yr−1 for the two decades (negative reflects ocean uptake). We do find broad agreement amongst methodologies with respect to the seasonal cycle in the subtropics of both hemispheres, but not elsewhere. Agreement with respect to detailed signals of interannual variability is poor; and correlations to the North Atlantic Oscillation are weaker in the North Atlantic and Arctic than in the equatorial region and South Subtropics. Linear trends for 1995 to 2009 indicate increased uptake and generally correspond between methodologies in the North Atlantic, but there is disagreement amongst methodologies in the equatorial region and South Subtropics.
Published: 2012

49. Iconic CO2 Time Series at Risk

Author: Frédéric Chevallier, Paul I. Palmer, Philippe Ciais, Bakr Badawy, Christian Rödenbeck, James T. Randerson, Scott Denning, Alex Vermeulen, Marc Fischer, Dylan B. A. Jones, Aslam Khalil, Thomas Röckmann, A. G. C. A. Meesters, Jing M. Chen, Martin Heimann, Andrew Schuh, Z. Poussi, Sourish Basu, Andrew R. Jacobson, G. James Collatz, Philippe Bousquet, L. Yurganov, Philippe Peylin, Maarten Krol, Prasad S. Kasibhatla, Taro Takahashi, Wouter Peters, Jorge L. Sarmiento, Andrew C. Manning, Richard Engelen, Manuel Gloor, Shamil Maksyutov, David Baker, John B. Miller, Michael J. Prather, Grégoire Broquet, Ian G. Enting, Dmitry Belikov, Sander Houweling, Marko Scholze, Jocelyn Turnbull, Prabir K. Patra, Nir Y. Krakauer, Christoph Gerbig, David S. Schimel, Parv Suntharalingam, Peter Bergamaschi, Josep G. Canadell, Annemarie Fraser, Takashi Maki, Tim Butler, Thomas Kaminski, Energy and Sustainability Research Institute Groni, SRON Netherlands Institute for Space Research ( SRON ), Institute for Marine and Atmospheric Research [Utrecht] ( IMAU ), Utrecht University [Utrecht], 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 ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), Copenhagen Business School, Copenhagen Business School [Copenhagen] ( CBS ), Atmospheric and Oceanic Sciences Program [Princeton] ( AOS Program ), NOAA Geophysical Fluid Dynamics Laboratory ( GFDL ), National Oceanic and Atmospheric Administration ( NOAA ) -National Oceanic and Atmospheric Administration ( NOAA ) -Princeton University, School of Earth Sciences [Bristol], University of Bristol [Bristol], Amsterdam Global Change Institute, Earth and Climate, Hydrology and Geo-environmental sciences, SRON Netherlands Institute for Space Research (SRON), Institute for Marine and Atmospheric Research [Utrecht] (IMAU), 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), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), 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), Copenhagen Business School [Copenhagen] (CBS), ICOS-ATC (ICOS-ATC), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Atmospheric and Oceanic Sciences Program [Princeton] (AOS Program), NOAA Geophysical Fluid Dynamics Laboratory (GFDL), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA)-Princeton University, 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), and 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)
Subjects: carbon footprint, sea, 010504 meteorology & atmospheric sciences, Compromise, media_common.quotation_subject, Climate Change, air pollution, letter, Climate change, Commission, chemistry, 010502 geochemistry & geophysics, 01 natural sciences, carbon monoxide, biology.animal, Physical Sciences and Mathematics, Whaling, 14. Life underwater, China, fossil fuel, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, media_common, Multidisciplinary, biology, Whale, Atmosphere, methane, carbon dioxide, land use, Carbon Dioxide, Earth system science, priority journal, Economy, greenhouse gas, 13. Climate action, Greenhouse gas, [SDE]Environmental Sciences, halocarbon, aquatic environment
Abstract: COMMENTARY Common but differentiated IBI Prize Essay LETTERS I BOOKS I POLICY FORUM I EDUCATION FORUM I PERSPECTIVES LETTERS edited by Jennifer Sills Iconic CO 2 Time Series at Risk THE STEADY RISE IN ATMOSPHERIC LONG- lived greenhouse gas concentrations is the main driver of contemporary climate change. The Mauna Loa CO 2 time series (1, 2), started by C. D. Keeling in 1958 and maintained today by the Scripps Institution of Oceanography and the Earth System Research Laboratory (ESRL) of NOAA, is iconic evidence of the effect of human- caused fossil fuel and land-use change emis- sions on the atmospheric increase of CO 2 . The continuity of such records depends criti- cally on having stable funding, which is chal- lenging to maintain in the context of 3- to 4-year research grant funding cycles (3), and LEAH R. GERBER Faculty of Ecology, Evolution, and Environmental Sciences, School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA. E-mail: leah.gerber@asu.edu References 1. Associated Press, The New York Times, 6 July 2012, p. A7 (www.nytimes.com/2012/07/06/ world/europe/south-korea-whaling-plan-criticized.html). 2. S. Herman, Voice of America, 24 July 2012 (www.voanews.com/content/south-korea-still- considering-resumption-of-whaling/1444081.html). 3. L. R. Gerber, L. Morissette, K. Kaschner, D. Pauly, Science 323, 880 (2009). 4. R. Black, BBC News, 5 July 2012 (www.bbc.co.uk/news/science-environment-18719512). is currently threatened by the ﬁ nancial crisis. The ESRL Global Monitoring Division maintains a network of about 100 surface and aircraft sites worldwide at which whole air samples are collected approximately every week for analysis of CO 2 , CH 4 , CO, halocar- bons, and many other chemical species (4). This is complemented by high-frequency measurements at the Mauna Loa, Barrow, American Samoa, and South Pole obser- vatories, and about 10 North American tall towers. The success of the NOAA program has inspired similar efforts in Europe (5), China (6), India (7), and Brazil (8), with the United Nations World Meteorological Orga- nization providing guidance and precision requirements through the Global Atmosphere Watch program (9), but no funding. 31 AUGUST 2012 Downloaded from www.sciencemag.org on August 17, 2015 AT THE RECENT INTERNATIONAL WHALING COMMISSION’S ANNUAL meeting in Panama, South Korean ofﬁ cials announced their plan to initiate a “scientiﬁ c whaling” program (1). This announcement came as a surprise given the general sentiment that the global demand for whale meat is declining. After weeks of international outcry, on 17 July, South Korea reversed their decision to hunt whales for research, but the issue is not dead (2). South Korea claimed that the goal of the scientiﬁ c whaling pro- gram is to study the types and amounts of ﬁ sh whales eat, given conﬂ ict with ﬁ sher- ies. Yet, it is well established in the scien- tiﬁ c literature that there are many ways to study whale diet without killing them (3). Decades of fruitless negotiation between pro- and anti-whaling nations suggests a broken system, wrought with loopholes that allow unsustainable whal- ing to continue. Within this broken system, there is no incentive to reduce whaling, as the recent announcement by South Korea shows. Whaling groups are unwilling to compromise by allowing a sustainable harvest of whales, so unsustainable (scientiﬁ c) whaling continues. To ensure a future of both whales and whalers, we must har- ness the passion and value that people place on living whales, with- out telling people what to do or force one set of values on others. We need novel, out-of-the-box approaches to effective management and conservation of whales. We must compromise to ensure reduc- tions in whales being killed, better oversight of countries that har- vest them, and limited whaling that does not threaten the persis- tence of whales. For those who believe that whaling is unethical, I challenge you to put forward alternative ideas to a global moratorium that fosters the “loophole” of scientiﬁ c whaling. With new plans to develop scientiﬁ c whaling programs (4), the current global moratorium is clearly bro- ken. Scientists, conservation advocates, resource managers, and the public must work together to develop new approaches to ensure the persistence of whales in our oceans. The data collected by NOAA and its worldwide partners have been used not only to demonstrate the unassailable rise of atmo- spheric greenhouse gas concentrations, but also to infer the magnitudes, locations, and times of surface-atmosphere exchange of those gases based on small concentration gradients between sites (10). Important ﬁ nd- ings from analysis of these records include the detection of a signiﬁ cant terrestrial car- bon sink at northern mid-latitudes (11) and subsequent research aimed at identifying the mechanisms by which that sink must operate. Long-term, high-quality, atmospheric mea- surements are crucial for quantifying trends in greenhouse gas ﬂ uxes and attributing them to fossil fuel emissions, changes in land-use and management, or the response of natural VOL 337 SCIENCE www.sciencemag.org Published by AAAS CREDIT: LEAH GERBER/ ARIZONA STATE UNIVERSITY The Scientiﬁ c Whaling Loophole
Published: 2012

50. Sea-air CO2 flux estimated from SOCAT surface-ocean CO2 partial pressure data and atmospheric CO2 mixing ratio data

Author: A. Olsen, Christian Rödenbeck, Dorothee C. E. Bakker, Nicolas Metzl, Ralph F. Keeling, Martin Heimann, and Christopher L. Sabine
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Surface ocean, 010604 marine biology & hydrobiology, Biogeochemistry, chemistry.chemical_element, Partial pressure, Seasonality, medicine.disease, 01 natural sciences, Flux (metallurgy), chemistry, 13. Climate action, Climatology, Sea air, Mixing ratio, medicine, Environmental science, Carbon, 0105 earth and related environmental sciences
Abstract: Surface-ocean CO2 partial pressure data have been assimilated into a simple diagnostic model of surface-ocean biogeochemistry to estimate the spatio-temporal CO2 partial pressure field and ultimately the sea-air CO2 fluxes. Results compare well with the widely used monthly climatology by Takahashi et al. (2009) but also contain some short-term and interannual variations. Fitting the same model to atmospheric CO2 data yields less robust but consistent estimates, confirming that using the partial pressure based estimates as ocean prior in atmospheric CO2 inversions may improve land CO2 flux estimates. Estimated seasonality of ocean-internal carbon sources and sinks is discussed in the light of observed nutrient variations.
Published: 2012

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