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

Verhoelst, T., Compernolle, S., Pinardi, G., Lambert, J.-C., Eskes, H. J., Eichmann, K.-U., et al. (2021). Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks. Atmospheric Measurement Techniques, 14(1), 481-510. doi:10.5194/amt-14-481-2021.

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Verhoelst, Tijl, Author
Compernolle, Steven, Author
Pinardi, Gaia, Author
Lambert, Jean-Christopher, Author
Eskes, Henk J., Author
Eichmann, Kai-Uwe, Author
Fjæraa, Ann Mari, Author
Granville, José, Author
Niemeijer, Sander, Author
Cede, Alexander, Author
Tiefengraber, Martin, Author
Hendrick, François, Author
Pazmiño, Andrea, Author
Bais, Alkiviadis, Author
Bazureau, Ariane, Author
Boersma, K. Folkert, Author
Bognar, Kristof, Author
Dehn, Angelika, Author
Donner, Sebastian1, Author           
Elokhov, Aleksandr, Author
Gebetsberger, Manuel, AuthorGoutail, Florence, Authorde la Mora, Michel Grutter, AuthorGruzdev, Aleksandr, AuthorGratsea, Myrto, AuthorHansen, Georg H., AuthorIrie, Hitoshi, AuthorJepsen, Nis, AuthorKanaya, Yugo, AuthorKaragkiozidis, Dimitris, AuthorKivi, Rigel, AuthorKreher, Karin, AuthorLevelt, Pieternel F., AuthorLiu, Cheng, AuthorMüller, Moritz, AuthorComas, Monica Navarro, AuthorPiters, Ankie J. M., AuthorPommereau, Jean-Pierre, AuthorPortafaix, Thierry, AuthorPrados-Roman, Cristina, AuthorPuentedura, Olga, AuthorQuerel, Richard, AuthorRemmers, Julia1, Author           Richter, Andreas, AuthorRimmer, John, AuthorCárdenas, Claudia Rivera, Authorde Miguel, Lidia Saavedra, AuthorSinyakov, Valery P., AuthorStremme, Wolfgang, AuthorStrong, Kimberly, AuthorRoozendael, Michel Van, AuthorVeefkind, J. Pepijn, AuthorWagner, Thomas1, Author           Wittrock, Folkard, AuthorGonzález, Margarita Yela, AuthorZehner, Claus, Author more..
1Satellite Remote Sensing, Max Planck Institute for Chemistry, Max Planck Society, ou_1826293              


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 Abstract: This paper reports on consolidated ground-based validation results of the atmospheric NO2 data produced operationally since April 2018 by the TROPOspheric Monitoring Instrument (TROPOMI) 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 Differential Optical Absorption Spectroscopy (MAX-DOAS), 26 Network for the Detection of Atmospheric Composition Change (NDACC) Zenith-Scattered-Light DOAS (ZSL-DOAS), and 25 Pandonia Global Network (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 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 median difference for the stratospheric column data, of about −0.2 Pmolec cm−2, 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 cm−2 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 cm−2) but exceed those for the tropospheric column data (0.7 Pmolec cm−2). While a part of the biases and dispersion may be due to representativeness differences such as different area averaging and measurement times, 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 chemical transport model used in the S5P retrieval and, to a lesser extent, to the treatment of cloud effects and aerosols. Although considerable differences (up to 2 Pmolec cm−2 and more) are observed at single ground-pixel level, the near-real-time (NRTI) and offline (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.


Language(s): eng - English
 Dates: 2021-01-22
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5194/amt-14-481-2021
 Degree: -



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Title: Atmospheric Measurement Techniques
  Abbreviation : AMT
Source Genre: Journal
Publ. Info: Göttingen : European Geosciences Union, Copernicus
Pages: - Volume / Issue: 14 (1) Sequence Number: - Start / End Page: 481 - 510 Identifier: ISSN: 1867-1381
CoNE: https://pure.mpg.de/cone/journals/resource/1867-1381