日本地球惑星科学連合2022年大会

講演情報

[E] ポスター発表

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-CG37] グローバル炭素循環の観測と統合解析

2022年6月3日(金) 11:00 〜 13:00 オンラインポスターZoom会場 (11) (Ch.11)

コンビーナ:市井 和仁(千葉大学)、コンビーナ:Prabir Patra(Research Institute for Global Change, JAMSTEC)、伊藤 昭彦(国立環境研究所)、コンビーナ:Hoffman Forrest M.(Oak Ridge National Laboratory)、座長:市井 和仁(千葉大学)

11:00 〜 13:00

[ACG37-P04] Impact of anomalous high temperature in the 2020 spring-summer season on terrestrial carbon cycle across Siberia

*市井 和仁1田口 琢斗2Belikov Dmitry2山本 雄平2、Patra Prabir3,2、小槻 峻司2鈴木 和良4檜山 哲哉5 (1.Chiba University、2.Center for Environmental Remote Sensing, Chiba University、3.Research Institute for Global Change, JAMSTEC、4.Japan Agency for Marine-Earth Science and Technology (JAMSTEC)、5.Institute for Space–Earth Environmental Research, Nagoya University)

キーワード:Carbon Cycle、Climate Change、Synthesis、Remote Sensing、Siberia

Siberia has been experienced one of the most rapid warming trends in recent decades, and this tendency will continue in the future. Furthermore, extreme climate anomalies have been reported across Siberia. Anomalous high temperature in 2020 spring to summer is reported as a record-breaking one, and the impact of the high temperature on the terrestrial environment is concerned. In this study, we analyzed bottom-up and top-down estimations, including satellite remote sensing datasets/products, in-situ observation, and atmospheric inverse analysis outputs to quantify the response of the terrestrial environment to the warming. We detected an apparent positive anomaly in land surface temperature, and it exceeds over five degrees above the long-term (20 years) mean based on MODIS products. Snow cover duration also shows much earlier snowmelt (e.g., one month) than the normal, and earlier increases in river discharge were observed. NDVI and LAI also consistently show positive anomalies in March to June seasons. Gross primary productivity (GPP) also shows 10-20% larger than normal years. We also detected large CO2 uptake anomalies in the spring and early summer by atmospheric inversion, probably due to earlier vegetation green-up. Although this analysis did not include the CH4 budget assessment, a large anomalous CO2 budget was estimated caused by anomalous temperature anomaly. Further analysis requires comprehensive greenhouse gas assessment by including CH4.