Regional and tele-connected impacts of the Tibetan Plateau surface darkening

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作者
Shuchang Tang
Anouk Vlug
Shilong Piao
Fei Li
Tao Wang
Gerhard Krinner
Laurent Z. X. Li
Xuhui Wang
Guangjian Wu
Yue Li
Yuan Zhang
Xu Lian
Tandong Yao
机构
[1] Peking University,Sino
[2] University of Innsbruck,French Institute for Earth System Science, College of Urban and Environmental Sciences
[3] University of Bremen,Department of Atmospheric and Cryospheric Sciences
[4] Institute of Tibetan Plateau Research,Institute of Geography
[5] Chinese Academy of Sciences,State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER)
[6] Université Grenoble Alpes,Institut des Géosciences de l’Environnement, CNRS
[7] Sorbonne Université,Laboratoire de Météorologie Dynamique, CNRS
[8] École Normale Supérieure,Laboratoire des Sciences du Climat et de l’Environnement, IPSL
[9] École Polytechnique,Institut Pierre
[10] CEA-CNRS-UVSQ,Simon Laplace
[11] Université Paris-Saclay,Department of Earth and Environmental Engineering
[12] Sorbonne Université/CNRS,undefined
[13] Columbia University,undefined
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摘要
Despite knowledge of the presence of the Tibetan Plateau (TP) in reorganizing large-scale atmospheric circulation, it remains unclear how surface albedo darkening over TP will impact local glaciers and remote Asian monsoon systems. Here, we use a coupled land-atmosphere global climate model and a glacier model to address these questions. Under a high-emission scenario, TP surface albedo darkening will increase local temperature by 0.24 K by the end of this century. This warming will strengthen the elevated heat pump of TP, increasing South Asian monsoon precipitation while exacerbating the current “South Flood-North Drought” pattern over East Asia. The albedo darkening-induced climate change also leads to an accompanying TP glacier volume loss of 6.9%, which further increases to 25.2% at the equilibrium, with a notable loss in western TP. Our findings emphasize the importance of land-surface change responses in projecting future water resource availability, with important implications for water management policies.
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