4.5 Article

Sentinel-5P TROPOMI NO2 retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data

期刊

ATMOSPHERIC MEASUREMENT TECHNIQUES
卷 15, 期 7, 页码 2037-2060

出版社

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/amt-15-2037-2022

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资金

  1. European Space Agency (ESA/ESRIN [4000117151/16/I-LG]
  2. Belgian Federal Science Policy Office (BELSPO)
  3. Royal Belgian Institute for Space Aeronomy (BIRA-IASB)
  4. Netherlands Space Office (NSO)
  5. German Aerospace Centre (DLR)
  6. ESA/ESRIN
  7. S5P Validation Team (S5PVT) AO project NIDFORVAL [28607]
  8. BELSPO
  9. ESA [PEA 4000116692]
  10. French Institut National des Sciences de l'Univers (INSU) of the Centre National de la Recherche Scientifique (CNRS)
  11. Centre National d'Etudes Spatiales (CNES)
  12. Institut polaire fracais Paul Emile Victor (IPEV)
  13. DLR-Bonn [50EE1709A]
  14. Ruisdael Observatory project, Dutch Research Council (NWO) [184.034.015]
  15. ESA via the EU CAMS27 project
  16. AEMET
  17. CCNY
  18. CITEDEF
  19. ECCC
  20. EPA
  21. ESA
  22. GA
  23. INOE
  24. LUFTBLICK
  25. NASA.GSFC
  26. NOAA.ESRL
  27. PMOD.WRC
  28. UAF
  29. UAH
  30. UC.BERKELEY
  31. UNAM
  32. UNIST
  33. VCU
  34. NASA
  35. S5P Validation Team (S5PVT) AO project CESAR [28596]

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The improvements in the TROPOMI NO2 retrieval leading to version v2.2 have resulted in more accurate monitoring of nitrogen dioxide emissions from local sources, particularly in areas with low cloud cover and cold climates. Additionally, these enhancements have brought TROPOMI data closer to observations from the Ozone Monitoring Instrument (OMI).
Nitrogen dioxide (NO2) is one of the main data products measured by the Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor (S5P) satellite, which combines a high signal-to-noise ratio with daily global coverage and high spatial resolution. TROPOMI provides a valuable source of information to monitor emissions from local sources such as power plants, industry, cities, traffic and ships, and variability of these sources in time. Validation exercises of NO2 v1.2-v1.3 data, however, have revealed that TROPOMI's tropospheric vertical column densities (VCDs) are too low by up to 50 % over highly polluted areas. These findings are mainly attributed to biases in the cloud pressure retrieval, the surface albedo climatology and the low resolution of the a priori profiles derived from global simulations of the TM5-MP chemistry model. This study describes improvements in the TROPOMI NO2 retrieval leading to version v2.2, operational since 1 July 2021. Compared to v1.x, the main changes are the following. (1) The NO2-v2.2 data are based on version-2 level-lb (ir)radiance spectra with improved calibration, which results in a small and fairly homogeneous increase in the NO2 slant columns of 3 % to 4 %, most of which ends up as a small increase in the stratospheric columns. (2) The cloud pressures are derived with a new version of the FRESCO cloud retrieval already introduced in NO2-v1.4, which led to a lowering of the cloud pressure, resulting in larger tropospheric NO2 columns over polluted scenes with a small but non-zero cloud coverage. (3) For cloud-free scenes a surface albedo correction is introduced based on the observed reflectance, which also leads to a general increase in the tropospheric NO2 columns over polluted scenes of order 15 %. (4) An outlier removal was implemented in the spectral fit, which increases the number of good-quality retrievals over the South Atlantic Anomaly region and over bright clouds where saturation may occur. (5) Snow/ice information is now obtained from ECMWF weather data, increasing the number of valid retrievals at high latitudes. On average the NO2-v2.2 data have tropospheric VCDs that are between 10 % and 40 % larger than the v1 .x data, depending on the level of pollution and season; the largest impact is found at mid and high latitudes in wintertime. This has brought these tropospheric NO2 closer to Ozone Monitoring Instrument (OMI) observations. Ground-based validation shows on average an improvement of the negative bias of the stratospheric (from -6 % to -3 %), tropospheric (from -32 % to -23 %) and total (from -12 % to -5 %) columns. For individual measurement stations, however, the picture is more complex, in particular for the tropospheric and total columns.

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