Presentation + Paper
19 October 2023 Global and regional CO2 and CH4 flux distributions derived from the inversion analyses of GOSAT series data and their temporal variations
Author Affiliations +
Abstract
Global carbon dioxide (CO2) and methane (CH4) flux distributions were derived by the inverse model analyses of CO2 and CH4 column-average concentration data from Greenhouse gases Observing SATellite (GOSAT) launched in 2009 and its successor (GOSAT-2) launched in 2018. GOSAT Level 4A CO2 and CH4 flux products are freely available from GOSAT Data Archive Service. Monthly net CO2 and CH4 flux values are calculated for 42 land regions and 22 ocean regions for CO2 and one ocean region for CH4 using the inversion system with NIES TM atmospheric transport model. The preliminary version of GOSAT-2 Level 4A CO2 product is being evaluated and will be released to the public in FY2023. GOSAT-2 Level 4A CH4 product will be generated after the release of CO2 product. GOSAT-2 Level 4A CO2 product is generated using the inversion system named NICAM-based Inverse Simulation for Monitoring CO2 (NISMON- CO2) with about 2.5-degree grids and monthly time interval. The spatial distributions of small CO2 sources and sinks will be shown by this product. GOSAT-GW, the third satellite in GOSAT Series to be launched in FY2024, will map CO2 and CH4 column concentrations with two spatial observation modes, Wide mode with 910 km swath and 10 km resolution, and Focus Mode with 90 km swath and 3 km or better resolution. Such image data will be used in the inversion analysis to obtain global and regional CO2 and CH4 net flux with higher spatial and temporal resolution than GOSAT and GOSAT-2.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Tsuneo Matsunaga, Makoto Saito, Tazu Saeki, Hiroshi Takagi, Kazutaka Murakami, Shamil Maksyutov, Yosuke Niwa, Hiroshi Tanimoto, Hisashi Yashiro, and Yosuke Yamashita "Global and regional CO2 and CH4 flux distributions derived from the inversion analyses of GOSAT series data and their temporal variations", Proc. SPIE 12729, Sensors, Systems, and Next-Generation Satellites XXVII, 127290F (19 October 2023); https://doi.org/10.1117/12.2680378
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KEYWORDS
Carbon dioxide

Atmospheric modeling

Satellites

Earth observing sensors

Gases

Carbon monoxide

Combustion

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