日本地球惑星科学連合2025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-CG39] グローバル炭素循環の観測と解析

2025年5月27日(火) 15:30 〜 17:00 展示場特設会場 (3) (幕張メッセ国際展示場 7・8ホール)

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)、Tarasova Oksana(World Meteorological Organization)、座長:市井 和仁(千葉大学)

16:00 〜 16:15

[ACG39-09] Investigation of Greenhouse Gas Spatial Distribution over the Korean Peninsula using Aircraft Measurement and Validation of the INVERSE-KOREA Model

*Yongjoo Choi1Jeonghwan Kim1、Hyeongmo Kang1、Sunran Lee2、Daegeun Shin2、Sumin Kim2、Sangwon Joo2、Jinkyu Hong3 (1.Department of Environmental Science, Hankuk University of Foreign Studies、2.National Institute of Meteorological Sciences、3.Department of Atmospheric Sciences, Yonsei University)

キーワード:airborne measurement, GHGs, top down approach, spatial distribution

Due to the 2015 Paris Agreement and the subsequent establishment of the new climate regime, Korea has been required to submit a National Inventory Report (NIR) to the UNFCCC every two years since 2024. To improve the accuracy of the NIR, the Korea Meteorological Administration (KMA) launched the INVERSE-KOREA (INverse Modelling for Validating and Evaluating Reduction of the Sectoral Greenhouse Gas Emissions in KOREA) project. This initiative aims to develop a near-real-time operational system for tracking greenhouse gas emissions using top-down approaches.
In this study, we investigated the spatial distribution of greenhouse gases (GHGs) over the Korean Peninsula based on in-situ measurements of CO2 and CH4 concentrations using a Cavity Ring-Down Spectroscopy (CRDS) analyzer onboard the King Air 350 HW research aircraft. Additionally, we evaluated and validated the CO2 and CH4 concentrations simulated by the INVERSE-KOREA model.
Our results showed that CO2 concentrations decreased with increasing altitude at a consistent rate, whereas CH4 concentrations initially decreased but began to increase above 4.5 km. Among data below 1.5 km of flight altitude, which represents surface-level concentrations, high CO2 levels were observed over Yongin (Gyeonggi Province) and Gwangju. In contrast, CH4 concentrations were highest in the southwestern part of Korea, likely due to livestock emissions.
A comparison between INVERSE-KOREA simulations and observed CO2 concentrations in 2019 revealed that the model tended to underestimate CO2 over land while overestimating CO2 over the ocean. This discrepancy suggests that INVERSE-KOREA may have overestimated anthropogenic emissions while underestimating external CO2 inflows.