How Does Plant CO2 Physiological Forcing Amplify Amazon Warming in CMIP6 Earth System Models?

被引:0
|
作者
Kimm, Haechan [1 ,2 ]
Park, So-Won [3 ]
Jun, Sang-Yoon [2 ]
Kug, Jong-Seong [3 ,4 ]
机构
[1] Pohang Univ Sci & Technol POSTECH, Div Environm Sci & Engn, Pohang, South Korea
[2] Korea Polar Res Inst, Incheon, South Korea
[3] Seoul Natl Univ, Sch Earth & Environm Sci, Seoul, South Korea
[4] Seoul Natl Univ, Interdisciplinary Program Artificial Intelligence, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
physiological forcing; CMIP6; Amazon; climate feedback; PRECIPITATION DECREASE; CLIMATE FEEDBACKS; TEMPERATURE; FORESTS; SURFACE;
D O I
10.1029/2023EF004223
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The physiological response to increasing CO2 concentrations will lead to land surface warming through a redistribution of the energy balance. As the Amazon is one of the most plant-rich regions, the increase in surface temperature, caused by plant CO2 physiological forcing, is particularly large compared to other regions. In this study, we analyze the outputs of the 11 models in the Coupled Model Intercomparison Project Phase 6 to find out how CO2 physiological forcing amplifies Amazonian warming under elevated CO2 levels. With the CO2 concentration increase from 285 to 823 ppm, the Amazon temperature increased by 0.48 +/- 0.42 K as a result of plant physiological forcing. Moreover, we assess the contributions of each climate feedback to the surface warming due to physiological forcing by quantifying climate feedbacks based on radiative kernels. Lapse rate feedback and cloud feedback, analyzed as the primary contributors, accounted for 53% and 37% of Amazon warming, respectively. The warming contributions of these two feedbacks also exhibit a significant spread, which contributes to the predictive uncertainty. The surface warming due to reduced evapotranspiration is larger than the upper tropospheric warming in the Amazon, resulting in surface warming by lapse rate feedback. In addition, cloud cover in the Amazon region decreases due to the reduced evapotranspiration. Decreased cloud cover amplifies surface warming through the shortwave cloud feedback. Furthermore, differences in circulation and local convection caused by physiological effect contribute to the inter-model spread of the cloud feedback.
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页数:14
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