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Robust projection of East Asian summer monsoon rainfall based on dynamical modes of variability.
Xue, Daokai; Lu, Jian; Leung, L Ruby; Teng, Haiyan; Song, Fengfei; Zhou, Tianjun; Zhang, Yaocun.
Afiliación
  • Xue D; School of Atmospheric Sciences, Nanjing University, Nanjing, China. dkxue@nju.edu.cn.
  • Lu J; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA. jian.lu@pnnl.gov.
  • Leung LR; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA.
  • Teng H; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Song F; Frontier Science Center for Deep Ocean Multispheres and Earth System and Physical Oceanography Laboratory, Ocean University of China, Qingdao, China.
  • Zhou T; Laoshan Laboratory, Qingdao, China.
  • Zhang Y; State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Being, China.
Nat Commun ; 14(1): 3856, 2023 Jun 29.
Article en En | MEDLINE | ID: mdl-37386020
The Asian monsoon provides the freshwater that a large population in Asia depends on, but how anthropogenic climate warming may alter this key water source remains unclear. This is partly due to the prevailing point-wise assessment of climate projections, even though climate change patterns are inherently organized by dynamics intrinsic to the climate system. Here, we assess the future changes in the East Asian summer monsoon precipitation by projecting the precipitation from several large ensemble simulations and CMIP6 simulations onto the two leading dynamical modes of internal variability. The result shows a remarkable agreement among the ensembles on the increasing trends and the increasing daily variability in both dynamical modes, with the projection pattern emerging as early as the late 2030 s. The increase of the daily variability of the modes heralds more monsoon-related hydrological extremes over some identifiable East Asian regions in the coming decades.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lluvia / Cambio Climático / Simulación por Computador / Tormentas Ciclónicas País/Región como asunto: Asia Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lluvia / Cambio Climático / Simulación por Computador / Tormentas Ciclónicas País/Región como asunto: Asia Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: China