日本地球惑星科学連合2023年大会

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セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG37] 衛星による地球環境観測

2023年5月26日(金) 09:00 〜 10:30 104 (幕張メッセ国際会議場)

コンビーナ:沖 理子(宇宙航空研究開発機構)、本多 嘉明(千葉大学環境リモートセンシング研究センター)、高薮 縁(東京大学 大気海洋研究所)、松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)、座長:松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)

09:15 〜 09:30

[ACG37-02] Global CO2 and CH4 flux extimates based on satellite observations by GOSAT and GOSAT-2

*齊藤 誠1丹羽 洋介1、高木 宏志1、亀井 秋秀1佐伯 田鶴1、白石 知宏1野田 響1、平田 竜一1村上 和隆1森野 勇1八代 尚1吉田 幸生1Maksyutov Shamil1松永 恒雄1 (1.国立環境研究所)

キーワード:衛星観測、温室効果ガス、大気逆解法

Understanding changes in the Earth system and the impact of human activity is significant scientific challenge. Earth explorer satellite missions provide essential observational data to study the scientific issues in local, regional, and global scales. Greenhouse gases Observing SATellite (GOSAT) and the successor GOSAT-2 are Japanese Earth explore satellite missions for monitoring global distribution of greenhouse gases. This study describes overviews of global surface carbon dioxide (CO2) and methane (CH4) flux estimates based on respective TANSO-FTS and TANSO-FTS-2 Column-averaged Dry-air Mole Fraction Products (GOSAT and GOSAT-2 SWIR Level 2 Products) being retrieved from the spectral data acquired by GOSAT and GOSAT-2 satellites. The flux estimates derived from GOSAT SWIR Level 2 Products have been released as GOSAT Level 4 Products, whose latest versions cover variability of global CO2 and CH4 fluxes for 2009 and 2020. We show that the GOSAT Level 4 Products using a fixed-lag Kalman smoother built on an atmospheric tracer transport model NIES-TM can provide an information to infer carbon cycle over regional scale. As a case study of surface flux estimate over the blank region of surface observational stations, an insight regarding relationship between CH4 emissions and reginal meteorological conditions in central South America is given in this study by using the satellite observations effectively. New global surface flux estimates derived from GOSAT-2 SWIR Level 2 Products are developed using a global circulation mode NICAM-based Inverse Simulation for Monitoring CO2 and CH4 (NISMON) system. In the estimate uncertainties being inherent in the GOSAT-2 SWIR Level 2 Products results in erroneous distributions of flux estimates, especially over the African continent. We demonstrate latest results of GOSAT-2 Level 4 product using updated GOSAT-2 SWIR Level 2 Products and their comparison with other observational and model estimate results.