The impacts of the summer Asian Jet Stream biases on surface air temperature in mid-eastern China in IPCC AR4 models
[Wang, Xin ; Zhou, Wen] City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impact Ctr, Sch Energy & Environm, Hong Kong, Hong Kong, Peoples R China ; [Wang, Dongxiao] Chinese Acad Sci, S China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China ; [Wang, Chunzai] NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA
刊名INTERNATIONAL JOURNAL OF CLIMATOLOGY
2013
卷号33期号:2页码:265-276
关键词jet stream surface air temperature IPCC AR4
ISSN号0899-8418
通讯作者wenzhou@cityu.edu.hk
中文摘要One of the great model biases in simulating the East Asian summer monsoon are the warming bias of the summer surface air temperature (SAT) in mid-eastern China in the late 1970s. Previous studies have found that the summer equatorward displacement of the Asian Jet Stream (AJS) could result in SAT cooling in mid-eastern China in the past half century. This paper focuses on the relationship of the meridional displacement bias of the Asian Jet Stream (AJS) with the SAT bias in mid-eastern China in 22 IPCC AR4 models. On the basis of 20C3M simulation outputs, the bias analyses show that the summer SAT bias in mid-eastern China are closely linked to the bias of the subtropical upper-level zonal wind around the AJS core. Climatologically, the summer AJS cores in more than half of IPCC models are north of the observed one, and most of models underestimate the intensity of the AJS. Ten models (bccr_bcm2_0, cccma_cgcm3_1_t63, cnrm_cm3, gfdl_cm_2_0, gfdl_cm2_1, ipsl_cm4, miroc3_2_hires, mpi_echam5, ncar_ccsm3_0, and ukmo_hadgem1) are able to capture the AJS meridional displacementthe distinct feature of the summer AJSfor the influences of climate in eastern China. Among these ten models, bccr_bcm2_0, cccma_cgcm3_1_t63, miroc3_2_hires, mpi_echam5 and ncar_ccsm3_0 fail to simulate the multi-decadal variations of the AJS and cccma_cgcm3_1_t63, cnrm_cm3, ipsl_cm4, mpi_echam5, and ukmo_hadgem1 underestimate large-scale circulations associated with the AJS over eastern China. Thus, merely two models, gfdl_cm_2_0 and gfdl_cm2_1, have the ability in successfully simulating the SAT cooling in mid-eastern China during the late 1970s. These results imply that a good simulation of the AJS is important for weather and climate forecasts and assessments in eastern China. Copyright (C) 2011 Royal Meteorological Society
学科主题Meteorology & Atmospheric Sciences
资助信息This research was sponsored by the National Basic Research Program of China (973 Program, No. 2011CB 403504), Natural Science Foundation of China (Grants Nos. U0733002, 40906010 and 2009CB4214401), and City University of Hong Kong (Strategic Research Grant No. 7002717).
原文出处WILEY-BLACKWELL
语种英语
WOS记录号WOS:000313753900001
公开日期2015-01-14
内容类型期刊论文
源URL[http://ir.scsio.ac.cn/handle/344004/10936]  
专题南海海洋研究所_热带海洋环境国家重点实验室(LTO)
推荐引用方式
GB/T 7714
[Wang, Xin,Zhou, Wen] City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impact Ctr, Sch Energy & Environm, Hong Kong, Hong Kong, Peoples R China,[Wang, Dongxiao] Chinese Acad Sci, S China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China,et al. The impacts of the summer Asian Jet Stream biases on surface air temperature in mid-eastern China in IPCC AR4 models[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2013,33(2):265-276.
APA [Wang, Xin,Zhou, Wen] City Univ Hong Kong, Guy Carpenter Asia Pacific Climate Impact Ctr, Sch Energy & Environm, Hong Kong, Hong Kong, Peoples R China,[Wang, Dongxiao] Chinese Acad Sci, S China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China,&[Wang, Chunzai] NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA.(2013).The impacts of the summer Asian Jet Stream biases on surface air temperature in mid-eastern China in IPCC AR4 models.INTERNATIONAL JOURNAL OF CLIMATOLOGY,33(2),265-276.
MLA [Wang, Xin,et al."The impacts of the summer Asian Jet Stream biases on surface air temperature in mid-eastern China in IPCC AR4 models".INTERNATIONAL JOURNAL OF CLIMATOLOGY 33.2(2013):265-276.
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