日本地球惑星科学連合2024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-CG34] 地球規模環境変化の予測と検出

2024年5月30日(木) 17:15 〜 18:45 ポスター会場 (幕張メッセ国際展示場 6ホール)

コンビーナ:河宮 未知生(海洋研究開発機構)、立入 郁(海洋研究開発機構)、建部 洋晶(海洋研究開発機構)、Ramaswamy V(NOAA GFDL)

17:15 〜 18:45

[ACG34-P07] Consistency of global carbon budget between concentration- and emission-driven historical experiments simulated by CMIP6 Earth system models

*羽島 知洋1河宮 未知生1伊藤 昭彦2立入 郁1、Jones Chris3、Arora Vivek4、Brovkin Victor5、Séférian Roland6、Liddicoat Spencer3、Friedlingstein Pierre7、Shevliakova Elena8 (1.独立行政法人 海洋研究開発機構、2.東京大学、3.Met Office Hadley Centre、4.Canadian Centre for Climate Modelling and Analysis, University of Victoria、5.Max-Planck-Institute for Meteorology、6.Centre National de Recherches Météorologiques、7.University of Exeter、8.NOAA/Geophysical Fluid Dynamics Laboratory)

キーワード:炭素循環、地球システムモデル、二酸化炭素

Anthropogenically emitted CO2 from fossil fuel use and land use change is partly absorbed by terrestrial ecosystems and the ocean, while the remainder retained in the atmosphere adds to the ongoing increase in atmospheric CO2 concentration. Earth system models (ESMs) can simulate such dynamics of the global carbon cycle and consider its interaction with the physical climate system. This study investigated the cause of CO2 concentration biases in ESMs and identified how they might be reduced. For this purpose, we first compared simulated historical carbon budgets in two types of experiments: one with prescribed CO2 emissions (the emission-driven experiment, “E-HIST”) and the other with prescribed CO2 concentration (the concentration-driven experiment, “C-HIST”). It was confirmed that the multi-model means of the carbon budgets simulated by one type of experiment generally showed good agreement with those simulated by the other. Next, we investigated the potential linkages of two types of carbon cycle indices: simulated CO2 concentration in E-HIST and compatible fossil fuel emission in C-HIST. It was confirmed quantitatively that the two indices are reasonable indicators of overall model performance in the context of carbon cycle feedbacks. Other suggestions were also obtained from this study, and one of them is that accurate reproduction of land use change emission is critical for better reproduction of the global carbon budget and CO2 concentration.