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XCO$_{2}$ retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm

Noël, Stefan; Reuter, Maximilian; Buchwitz, Michael; Borchardt, Jakob; Hilker, Michael; Bovensmann, Heinrich; Burrows, John P.; Di Noia, Antonio; Suto, Hiroshi; Yoshida, Yukio; Buschmann, Matthias; Deutscher, Nicholas M.; Feist, Dietrich G.; Griffith, David W. T.; Hase, Frank 1; Kivi, Rigel; Morino, Isamu; Notholt, Justus; Ohyama, Hirofumi; ... mehr

Abstract:

Since 2009, the Greenhouse gases Observing SATellite (GOSAT) has performed radiance measurements in the near-infrared (NIR) and shortwave infrared (SWIR) spectral region. From February 2019 onward, data from GOSAT-2 have also been available.

We present the first results from the application of the Fast atmOspheric traCe gAs retrievaL (FOCAL) algorithm to derive column-averaged dry-air mole fractions of carbon dioxide (XCO2) from GOSAT and GOSAT-2 radiances and their validation. FOCAL was initially developed for OCO-2 XCO2 retrievals and allows simultaneous retrievals of several gases over both land and ocean. Because FOCAL is accurate and numerically very fast, it is currently being considered as a candidate algorithm for the forthcoming European anthropogenic CO2 Monitoring (CO2M) mission to be launched in 2025.

We present the adaptation of FOCAL to GOSAT and discuss the changes made and GOSAT specific additions. This particularly includes modifications in pre-processing (e.g. cloud detection) and post-processing (bias correction and filtering).

A feature of the new application of FOCAL to GOSAT and GOSAT-2 is the independent use of both S- and P-polarisation spectra in the retrieval. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000133347
Veröffentlicht am 01.06.2021
Originalveröffentlichung
DOI: 10.5194/amt-14-3837-2021
Scopus
Zitationen: 20
Dimensions
Zitationen: 19
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1867-8548
KITopen-ID: 1000133347
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 14
Heft 5
Seiten 3837–3869
Vorab online veröffentlicht am 26.05.2021
Nachgewiesen in Scopus
Dimensions
Web of Science
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