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CMIP6模式对东亚夏季西风急流的模拟能力改进分析

FU Yuanhai LIN Zhongda GUO Dong

大气和海洋科学快报(英文版)2020,Vol.13Issue(6):550-558,9.
大气和海洋科学快报(英文版)2020,Vol.13Issue(6):550-558,9.

CMIP6模式对东亚夏季西风急流的模拟能力改进分析

Improvement of the simulation of the summer East Asian westerly jet from CMIP5 to CMIP6

FU Yuanhai 1LIN Zhongda 2GUO Dong1

作者信息

  • 1. Climate Change Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,China
  • 2. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,China
  • 折叠

摘要

Abstract

The East Asian westerly jet(EAJ)plays a crucial role in affecting the East Asian summer rainfall(EASR).Therefore,evaluations of EAJ simulations are vital for improving the understanding and projections of climate change in East Asia.This study evaluates the simulations of the climatology and interannual variability in the present-day summer EAJ in the CMIP6 models and compares the results with those in the CMIP5 models by analyzing the historical climate simulations of 29 CMIP5 models and 21 CMIP6 models during the period from 1986-2005.In general,the CMIP6 models capture the EAJ more realistically than the CMIP5 models.The results show that the CMIP6 models reasonably capture the spatial features of the climatological zonal wind at 200 hPa and simulate a smaller zonal wind bias along the EAJ.The locations of the EAJ's core are at the observed location in nearly all CMIP6 models but in only approximately two-thirds of the CMIP5 models.The EAJ's intensity is closer to the observed value and exhibits a smaller intermodel dispersion in the CMIP6 models.The CMIP6 models also show an improved ability to reproduce the interannual variability in the EAJ's meridional displacement and have a stronger relationship with the EASR.

关键词

CMIP6/模拟能力评估/东亚夏季西风急流/东亚夏季降水

Key words

CMIP6/model evaluation/East Asian westerly jet/East Asian summer rainfall

引用本文复制引用

FU Yuanhai,LIN Zhongda,GUO Dong..CMIP6模式对东亚夏季西风急流的模拟能力改进分析[J].大气和海洋科学快报(英文版),2020,13(6):550-558,9.

基金项目

This research was supported by the National Key R&D Program of China[grant number 2017YFA0603802],the Strategic Priority Research Program of the Chinese Academy of Sciences[grant number XDA2006040102],and the National Natural Science Foundation of China[grant number 41675084]. ()

大气和海洋科学快报(英文版)

OACSCD

1674-2834

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