Ground-based validation of the Copernicus Sentinel-5p TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks
Tiji Verhoelst
(1)
,
Steven Compernolle
(1)
,
Gala Pinardi
(1)
,
Jean-Christopher Lambert
(1)
,
Henk J. Eskes
(2)
,
Kai-Uwe Eichmann
(3)
,
Ann Mari Fjæraa
(4)
,
José Granville
(1)
,
Sander Niemeijer
(5)
,
Alexander Cede
(6, 7)
,
Martin Tiefengraber
(7)
,
François Hendrick
(1)
,
Andrea Pazmino
(8)
,
Alkiviadis Bais
(9)
,
Ariane Bazureau
(8)
,
Klaas Folkert Boersma
(2, 10)
,
Kristof Bognar
(11)
,
Angelika Dehn
(12)
,
Sebastian Donner
(13)
,
Aleksandr Elokhov
(14)
,
Manuel Gebetsberger
(7)
,
Florence Goutail
(8)
,
Michel Grutter de La Mora
(15)
,
Aleksandr Gruzdev
(14)
,
Myrto Gratsea
(16)
,
Georg Hansen
(4)
,
Hitoshi Irie
(17)
,
Nis Jepsen
(18)
,
Yugo Kanaya
(19)
,
Dimitris Karagkiozidis
(9)
,
Rigel Kivi
(20)
,
Karin Kreher
(21)
,
Pieternel F. Levelt
(2, 22)
,
Cheng Liu
(23)
,
Moritz Müller
(7)
,
Monica Navarro-Comas
(24)
,
Ankie J. M. Piters
(2)
,
Jean-Pierre Pommereau
(8)
,
Thierry Portafaix
(25)
,
Cristina Prados-Roman
(24)
,
Olga Puentedura
(24)
,
Richard Querel
(26)
,
Julia Remmers
(13)
,
Andreas Richter
(3)
,
John Rimmer
(27)
,
Claudia Rivera Cárdenas
(15)
,
Lidia Saavedra de Miguel
(12)
,
Valery P. Sinyakov
(28)
,
Wolfgang Stremme
(15)
,
Kimberley Strong
(11)
,
Michel van Roozendaël
(1)
,
Pepijn J. Veefkind
(2)
,
Thomas Wagner
(11)
,
Folkard Wittrock
(29)
,
Margarita Yela-González
(21)
,
Claus Zehner
(10)
1
BIRA-IASB -
Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique
2 KNMI - Royal Netherlands Meteorological Institute
3 IUP - Institut für Umweltphysik [Bremen]
4 NILU - Norsk Institutt for Luftforskning
5 S [&] T - Science [&] Technology Corporation [Delft]
6 GSFC - NASA Goddard Space Flight Center
7 Institute of Meteorology and Geophysics [Innsbruck]
8 STRATO - LATMOS
9 Laboratory of Atmospheric Physics [Thessaloniki]
10 Meteorology and Air Quality Group
11 Department of Physics [Toronto]
12 ESRIN - European Space Research Institute
13 MPIC - Max-Planck-Institut für Chemie
14 IAP - A.M.Obukhov Institute of Atmospheric Physics
15 Centro de Ciencias de la Atmosfera [Mexico]
16 NOA - National Observatory of Athens
17 CEReS - Center for Environmental Remote Sensing [Chiba]
18 DMI - Danish Meteorological Institute
19 RIGC - Research Institute for Global Change
20 Space and Earth Observation Centre [Sodankylä]
21 BK Scientific GmbH
22 TU Delft - Delft University of Technology
23 Department of Precision Machinery and Precision Instrumentation [Hefei]
24 INTA - Instituto Nacional de Técnica Aeroespacial
25 LACy - Laboratoire de l'Atmosphère et des Cyclones
26 NIWA - National Institute of Water and Atmospheric Research [Lauder]
27 University of Manchester [Manchester]
28 Kyrgyz National University of Jusup Balasagyn
29 IUP - Institute of Environmental Physics [Bremen]
2 KNMI - Royal Netherlands Meteorological Institute
3 IUP - Institut für Umweltphysik [Bremen]
4 NILU - Norsk Institutt for Luftforskning
5 S [&] T - Science [&] Technology Corporation [Delft]
6 GSFC - NASA Goddard Space Flight Center
7 Institute of Meteorology and Geophysics [Innsbruck]
8 STRATO - LATMOS
9 Laboratory of Atmospheric Physics [Thessaloniki]
10 Meteorology and Air Quality Group
11 Department of Physics [Toronto]
12 ESRIN - European Space Research Institute
13 MPIC - Max-Planck-Institut für Chemie
14 IAP - A.M.Obukhov Institute of Atmospheric Physics
15 Centro de Ciencias de la Atmosfera [Mexico]
16 NOA - National Observatory of Athens
17 CEReS - Center for Environmental Remote Sensing [Chiba]
18 DMI - Danish Meteorological Institute
19 RIGC - Research Institute for Global Change
20 Space and Earth Observation Centre [Sodankylä]
21 BK Scientific GmbH
22 TU Delft - Delft University of Technology
23 Department of Precision Machinery and Precision Instrumentation [Hefei]
24 INTA - Instituto Nacional de Técnica Aeroespacial
25 LACy - Laboratoire de l'Atmosphère et des Cyclones
26 NIWA - National Institute of Water and Atmospheric Research [Lauder]
27 University of Manchester [Manchester]
28 Kyrgyz National University of Jusup Balasagyn
29 IUP - Institute of Environmental Physics [Bremen]
Rigel Kivi
- Fonction : Auteur
- PersonId : 766883
- ORCID : 0000-0001-8828-2759
Cheng Liu
- Fonction : Auteur
- PersonId : 780960
- ORCID : 0000-0002-3759-9219
Thierry Portafaix
- Fonction : Auteur
- PersonId : 9097
- IdHAL : portafaix-thierry
- IdRef : 101326130
Andreas Richter
- Fonction : Auteur
- PersonId : 756465
- ORCID : 0000-0003-3282-4808
Wolfgang Stremme
- Fonction : Auteur
- PersonId : 777339
- ORCID : 0000-0003-0791-3833
Résumé
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.
Domaines
Océan, Atmosphère| Origine | Fichiers éditeurs autorisés sur une archive ouverte |
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