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Tropospheric Ozone Retrieval By A Combination of TROPOMI/S5P Measurements With BASCOE Assimilated DataWe present a new tropospheric ozone dataset based on TROPOspheric Monitoring Instrument (TROPOMI)/Sentinel-5 Precursor (S5P) total ozone measurements combined with stratospheric ozone data from the Belgian Assimilation System for Chemical ObsErvations (BASCOE) constrained by assimilating ozone observations from the Microwave Limb Sounder (MLS). The BASCOE stratospheric data are interpolated to the S5P observations and subtracted from the TROPOMI total ozone data. The difference is equal to the tropospheric ozone residual column from the surface up to the tropopause. The tropospheric ozone columns are retrieved at the full spatial resolution of the TROPOMI sensor (5.5×3.5 km2) with daily global coverage.

Compared to the Ozone Mapping and Profiler Suite Modern-Era Retrospective analysis for Research and Applications 2 (OMPS-MERRA-2) data, a global mean positive bias of 3.3 DU is found for the analysed period April 2018 to June 2020. A small negative bias of about −0.91 DU is observed in the tropics relative to the operational TROPOMI tropical tropospheric data based on the convective cloud differential (CCD) algorithm throughout the same period. The new tropospheric ozone data (S5P-BASCOE) are compared to a set of globally distributed ozonesonde data integrated up to the tropopause level. We found 2254 comparisons with cloud-free TROPOMI observations within 25 km of the stations. In the global mean, S5P-BASCOE deviates by 2.6 DU from the integrated ozonesondes. Depending on the latitude the S5P-BASCOE deviate from the sondes and between −4.8 and 7.9 DU, indicating a good agreement. However, some exceptional larger positive deviations up to 12 DU are found, especially in the northern polar regions (north of 70∘). The monthly mean tropospheric column and time series for selected areas showed the expected spatial and temporal pattern, such as the wave one structure in the tropics or the seasonal cycle, including a summer maximum, in the mid-latitudes.
Document ID
20230001789
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Klaus-Peter Heue ORCID
(German Aerospace Center Cologne, Germany)
Diego Loyola ORCID
(German Aerospace Center Cologne, Germany)
Fabian Romahn
(German Aerospace Center Cologne, Germany)
Walter Zimmer
(German Aerospace Center Cologne, Germany)
Simon Chabrillat ORCID
(Belgian Institute For Space Aeronomy Brussels, Belgium)
Quentin Errera
(Belgian Institute For Space Aeronomy Brussels, Belgium)
Jerald Ziemke
(Morgan State University Baltimore, Maryland, United States)
Natalya Kramarova ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
February 6, 2023
Publication Date
October 4, 2022
Publication Information
Publication: Atmospheric Measurement Techniques
Publisher: European Geosciences Union / Copernicus Publications
Volume: 15
Issue: 19
Issue Publication Date: September 30, 2022
ISSN: 1867-1381
e-ISSN: 1867-8548
Subject Category
Geosciences (General)
Meteorology and Climatology
Earth Resources and Remote Sensing
Environment Pollution
Funding Number(s)
WBS: 437949.02.01.03.40
CONTRACT_GRANT: 80NSSC22M0001
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Satellite Retrieval
Pollution
COVID-19
Tropospheric Ozone
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