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Validation and assessment of satellite-based columnar CO$_2$ and CH$_4$ mixing ratios from GOSAT and OCO-2 satellites over India

Gadhavi, Harish Shivraj ; Arora, Akanksha; Jain, Chaithanya; Sha, Mahesh Kumar 1; Hase, Frank 1,2; Frey, Matthias Max 1; Ramachandran, Srikanthan; Jayaraman, Achuthan
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF), Karlsruher Institut für Technologie (KIT)

Abstract:

Satellite observations of column-averaged carbon dioxide (XCO$_2$) and methane (XCH$_4$) mixing ratios provide essential data for monitoring greenhouse gas (GHG) emissions. However, the accuracy of emission estimates depends on the precision and bias of satellite retrievals, which require validation against ground-based reference measurements. This study presents a systematic validation of XCO$_2$ and XCH$_4$ data from GOSAT (Greenhouse gases Observing SATellite) and OCO-2 (Oribiting Carbon Observatory-2) satellites over South India using ground-based Fourier transform spectrometer (FTS) observations at Gadanki (13.5 degrees N, 79.2 degrees E) collected from October 2015 to July 2016. Satellite products from National Institute for Environmental Studies, Japan (NIES), NASA's Atmospheric CO$_2$ Observations from Space (ACOS) project, USA (ACOS), and the University of Leicester, UK (UoL) were evaluated using a three-step spatial-temporal pairing method. Results show that the UoL's proxy XCH$_4$ product meets the European Space Agency's Climate Change Initiative (ESA CCI) bias requirement (<10 ppb) across all spatial windows, while the NIES XCH$_4$ product meets the requirement only for intermediate spatial scales. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000185675
Veröffentlicht am 13.10.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 1867-8548
KITopen-ID: 1000185675
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 18
Heft 17
Seiten 4497–4514
Vorab online veröffentlicht am 12.09.2025
Nachgewiesen in Web of Science
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Scopus
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