日本地球惑星科学連合2024年大会

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[E] 口頭発表

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-CG35] グローバル炭素循環の観測と解析

2024年5月28日(火) 10:45 〜 12:00 301A (幕張メッセ国際会議場)

コンビーナ:市井 和仁(千葉大学)、Patra Prabir(Research Institute for Global Change, JAMSTEC)、伊藤 昭彦(東京大学)、座長:伊藤 昭彦(東京大学)

11:15 〜 11:30

[ACG35-09] Estimation of NOx/CO2 emissions based on space-based NO2 and CO2 observations over India using regional model WRF-GHG/Chem

*Jagat Bisht1Prabir Patra1Masayuki Takigawa1Masahiro Yamaguchi2Yugo Kanaya1Takashi Sekiya1Hiroshi Tanimoto2 (1.Japan Agency for Marine-Earth Science and Technology 、2.National Institute for Environmental Studies)

Carbon dioxide (CO2) is a major greenhouse gas (GHG) in the Earth’s atmosphere which continues increasing mainly due to fossil fuel combustion. Since fossil fuel combustion at high temperatures produces nitrogen monoxide (NO) as a byproduct, which rapidly reacts with Ozone (O3) to form Nitrogen dioxide (NO2), the presence of NO2 near emission sources serves as a suitable tracer for freshly emitted CO2. In this study, we seek to use the available observation of CO2and NO2 to estimate CO2 emissions. This study performed a coupled modeling with WRF full chemistry (WRF-Chem) and GHG together (hereafter referred as WRF-Chem/GHG) over India during January 2022 to simulate both CO2 and NO2 concentrations. Simulations are performed in two-way nested setting (27 km and 9 km) with EDGAR (v6.1 for air pollutants and v7 for GHG) anthropogenic emission inventories. We evaluated the model performances with TROPOMI (TROPOspheric Monitoring Instrument) tropospheric NO2 column amount and estimate NOx fluxes inside the 9 km domain. The top-down NOx emission estimate suggests that EDGAR anthropogenic emission inventory overestimated the NOx emissions by 22% over Indo-Gangetic plane. Our aim is to estimate the CO2 emission by using CO2 concentration observations from the satellites such as, GOSAT and OCO-2, and in-situ observations and utilize NO2 emission information corresponding to co-located emission sources from the facilities such as power plant, automobile traffic, residential facility, etc. This study anticipates the observation datasets from future satellites, such as GOSAT-GW, for simultaneous NO2/CO2 observations.