Back to Search Start Over

Ground-based validation of the Copernicus Sentinel-5p TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks

Authors :
Verhoelst, Tiji
Pinardi, Gala
Eskes, Henk J.
Fjæraa, Ann Mari
Boersma, Klaas Folkert
Levelt, Pieternel F.
Navarro-Comas, Monica
Piters, Ankie J. M.
Sinyakov, Valery P.
Strong, Kimberley
Veefkind, Pepijn J.
Yela-González, Margarita
Verhoelst, Tijl
Compernolle, Steven
Pinardi, Gaia
Lambert, Jean-Christopher
Eskes, Henk
Eichmann, Kai-Uwe
Fjaeraa, Ann
Granville, José
Niemeijer, Sander
Cede, Alexander
Tiefengraber, Martin
Hendrick, François
Pazmino, Andrea
Bais, Alkiviadis
Bazureau, Ariane
Folkert Boersma, K
Bognar, Kristof
Dehn, Angelika
Donner, Sebastian
Elokhov, Aleksandr
Gebetsberger, Manuel
Goutail, Florence
Grutter de la Mora, Michel
Gruzdev, Aleksandr
Gratsea, Myrto
Hansen, Georg
Irie, Hitoshi
Jepsen, Nis
Kanaya, Yugo
Karagkiozidis, Dimitris
Kivi, Rigel
Kreher, Karin
Levelt, Pieternel
Liu, Cheng
Müller, Moritz
Navarro Comas, Monica
Piters, Ankie
Pommereau, Jean-Pierre
Portafaix, Thierry
Prados-Roman, Cristina
Puentedura, Olga
Querel, Richard
Remmers, Julia
Richter, Andreas
Rimmer, John
Rivera Cárdenas, Claudia
Saavedra De Miguel, Lidia
Sinyakov, Valery
Stremme, Wolfgang
Strong, Kimberly
Van Roozendaël, Michel
Pepijn Veefkind, J
Wagner, Thomas
Wittrock, Folkard
Yela González, Margarita
Zehner, Claus
Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB)
Royal Netherlands Meteorological Institute (KNMI)
Norsk Institutt for Luftforskning (NILU)
Meteorology and Air Quality Group
Wageningen University and Research [Wageningen] (WUR)
Delft University of Technology (TU Delft)
Instituto Nacional de Técnica Aeroespacial (INTA)
Kyrgyz National University of Jusup Balasagyn
Department of Physics [Toronto]
University of Toronto
BK Scientific GmbH
Institut für Umweltphysik [Bremen] (IUP)
Universität Bremen
Science [&] Technology Corporation [Delft] (S [&] T)
NASA Goddard Space Flight Center (GSFC)
Institute of Meteorology and Geophysics [Innsbruck]
University of Innsbruck
STRATO - LATMOS
Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)
Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)
Laboratory of Atmospheric Physics [Thessaloniki]
Aristotle University of Thessaloniki
European Space Research Institute (ESRIN)
European Space Agency (ESA)
Max-Planck-Institut für Chemie (MPIC)
Max-Planck-Gesellschaft
A.M.Obukhov Institute of Atmospheric Physics (IAP)
Russian Academy of Sciences [Moscow] (RAS)
Centro de Ciencias de la Atmosfera [Mexico]
Universidad Nacional Autónoma de México (UNAM)
National Observatory of Athens (NOA)
Center for Environmental Remote Sensing [Chiba] (CEReS)
Chiba University
Danish Meteorological Institute (DMI)
Research Institute for Global Change (RIGC)
Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
Space and Earth Observation Centre [Sodankylä]
Finnish Meteorological Institute (FMI)
Department of Precision Machinery and Precision Instrumentation [Hefei]
University of Science and Technology of China [Hefei] (USTC)
Laboratoire de l'Atmosphère et des Cyclones (LACy)
Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Météo France
National Institute of Water and Atmospheric Research [Lauder] (NIWA)
University of Manchester [Manchester]
Institute of Environmental Physics [Bremen] (IUP)
University of Bremen
Source :
Atmospheric Measurement Techniques, Atmospheric Measurement Techniques, European Geosciences Union, 2021, 14 (1), pp.481-510. ⟨10.5194/amt-14-481-2021⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; This paper reports on consolidated ground-based validation results of the atmospheric NO2 data produced operationally since April 2018 by the TROPOMI instrument on board of the ESA/EU Copernicus Sentinel-5 Precursor (S5p) satellite. Tropospheric, stratospheric, and total NO2 column data from S5p are compared to correlative measurements collected from, respectively, 19 Multi-Axis DOAS (MAX-DOAS), 26 NDACC Zenith-Scattered-Light DOAS (ZSL-DOAS), and 25 PGN/Pandora instruments distributed globally. The validation methodology gives special care to minimizing mismatch errors due to imperfect spatio-temporal co-location of the satellite and correlative data, e.g., by using tailored observation operators to account for differences in smoothing and in sampling of atmospheric structures and variability, and photochemical modelling to reduce diurnal cycle effects. Compared to the ground-based measurements, S5p data show, on an average: (i) a negative bias for the tropospheric column data, of typically −23 to −37 % in clean to slightly polluted conditions, but reaching values as high as −51 % over highly polluted areas; (ii) a slight negative bias for the stratospheric column data, of about −0.2 Pmolec/cm2, i.e. approx. −2 % in summer to −15 % in winter; and (iii) a bias ranging from zero to −50 % for the total column data, found to depend on the amplitude of the total NO2 column, with small to slightly positive bias values for columns below 6 Pmolec/cm2 and negative values above. The dispersion between S5p and correlative measurements contains mostly random components, which remain within mission requirements for the stratospheric column data (0.5 Pmolec/cm2), but exceed those for the tropospheric column data (0.7 Pmolec/cm2). While a part of the biases and dispersion may be due to representativeness differences, it is known that errors in the S5p tropospheric columns exist due to shortcomings in the (horizontally coarse) a-priori profile representation in the TM5-MP chemistry transport model used in the S5p retrieval, and to a lesser extent, to the treatment of cloud effects. Although considerable differences (up to 2 Pmolec/cm2 and more) are observed at single ground-pixel level, the near-real-time (NRTI) and off-line (OFFL) versions of the S5p NO2 operational data processor provide similar NO2 column values and validation results when globally averaged, with the NRTI values being on average 0.79 % larger than the OFFL values.

Details

Language :
English
ISSN :
18671381 and 18678548
Database :
OpenAIRE
Journal :
Atmospheric Measurement Techniques, Atmospheric Measurement Techniques, European Geosciences Union, 2021, 14 (1), pp.481-510. ⟨10.5194/amt-14-481-2021⟩
Accession number :
edsair.dedup.wf.001..e6ec6519858f3565bd4708da998e0564
Full Text :
https://doi.org/10.5194/amt-14-481-2021⟩