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Radiance-based retrieval bias mitigation for the MOPITT instrument: the version 8 product

TitleRadiance-based retrieval bias mitigation for the MOPITT instrument: the version 8 product
Publication TypeJournal Article
Year of Publication2019
AuthorsDeeter M.N, Edwards D.P, Francis G.L, Gille J.C, Mao D., Martinez-Alonso S., Worden H.M, Ziskin D., Andreae M.O
Volume12
Pagination4561-4580
Date Published2019/08
Type of ArticleArticle
ISBN Number1867-1381
Accession NumberWOS:000483068500001
Keywordsalgorithm; ch4; co; Meteorology & Atmospheric Sciences; model; ozone; record; tropospheric carbon-monoxide; validation
Abstract

The MOPITT (Measurements of Pollution in the Troposphere) satellite instrument has been making nearly continuous observations of atmospheric carbon monoxide (CO) since 2000. Satellite observations of CO are routinely used to analyze emissions from fossil fuels and biomass burning, as well as the atmospheric transport of those emissions. Recent enhancements to the MOPITT retrieval algorithm have resulted in the release of the version 8 (V8) product. V8 products benefit from updated spectroscopic data for water vapor and nitrogen used to develop the operational radiative transfer model and exploit a new method for minimizing retrieval biases through parameterized radiance bias correction. In situ datasets used for algorithm development and validation include the NOAA (National Oceanic and Atmospheric Administration) and HIPPO (HIAPER Pole-to-Pole Observations) datasets used for earlier MOPITT validation work in addition to measurements from the ACRIDICON-CHUVA (Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems - Cloud processes of the main precipitation systems in Brazil: A contribution to cloud resolving modeling and to the GPM (Global Precipitation Measurement)), KORUS-AQ (The Korea-United States Air Quality Study), and ATom (The Atmospheric Tomography Mission) programs. Validation results illustrate clear improvements with respect to long-term bias drift and geographically variable retrieval bias. For example, whereas bias drift for the V7 thermal-infrared (TIR)-only product exceeded 0.5 % yr(-1) for levels in the upper troposphere (e.g., at 300 hPa), bias drift for the V8 TIR-only product is found to be less than 0.1 % yr(-1) at all levels. Also, whereas upper-tropospheric (300 hPa) retrieval bias in the V7 TIR-only product exceeded 10 % in the tropics, corresponding V8 biases are less than 5 % (in terms of absolute value) at all latitudes and do not exhibit a clear latitudinal dependence.

DOI10.5194/amt-12-4561-2019
Student Publication: 
No