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Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm

Someya, Yu; Yoshida, Yukio; Ohyama, Hirofumi; Nomura, Shohei; Kamei, Akihide; Morino, Isamu; Mukai, Hitoshi; Matsunaga, Tsuneo; Laughner, Joshua L.; Velazco, Voltaire A.; Herkommer, Benedikt ORCID iD icon 1; Té, Yao; Sha, Mahesh Kumar; Kivi, Rigel; Zhou, Minqiang; Oh, Young Suk; Deutscher, Nicholas M.; Griffith, David W. T.
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT)

Abstract:

The National Institute for Environmental Studies has provided the column-averaged dry-air mole fraction of carbon dioxide and methane (XCO$_2$ and XCH$_4$) products (L2 products) obtained from the Greenhouse gases Observing SATellite (GOSAT) for more than a decade. Recently, we updated the retrieval algorithm used to produce the new L2 product, V03.00. The main changes from the previous version (V02) of the retrieval algorithm are the treatment of cirrus clouds, the degradation model of the Thermal And Near-infrared Spectrometer for carbon Observation–Fourier Transform Spectrometer (TANSO–FTS), solar irradiance spectra, and gas absorption coefficient tables. The retrieval results from the updated algorithm showed improvements in fitting accuracies in the O$_2$ A, weak CO$_2$, and CH$_4$ bands of TANSO–FTS, although the residuals increase in the strong CO$_2$ band over the ocean. The direct comparison of the new product obtained from the updated (V03) algorithm with the previous version V02.90/91 and the validations using the Total Carbon Column Observing Network revealed that the V03 algorithm increases the amount of data without diminishing the data qualities of XCO$_2$ and XCH$_4$ over land. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000160383
Veröffentlicht am 11.07.2023
Originalveröffentlichung
DOI: 10.5194/amt-16-1477-2023
Scopus
Zitationen: 3
Web of Science
Zitationen: 2
Dimensions
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1867-8548
KITopen-ID: 1000160383
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Erschienen in Atmospheric Measurement Techniques
Verlag Copernicus Publications
Band 16
Heft 6
Seiten 1477–1501
Vorab online veröffentlicht am 22.03.2023
Nachgewiesen in Dimensions
Web of Science
Scopus
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