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Evaluation of CMIP6 HighResMIP models in simulating precipitation over Central Asia

作     者:Liang-Liang LI Jian LI Ru-Cong YU Liang-Liang LI;Jian LI;Ru-Cong YU

作者机构:College of Atmospheric SciencesLanzhou UniversityLcmzhou 730000China State Key Laboratory of Severe WeatherChinese Academy of Meteorological SciencesBeijing 100081China Research Center for Disastrous Weather Over Hengduan Mountains&Low-Latitude PlateauChina Meteorological AdministrationKunming 650034China 

出 版 物:《Advances in Climate Change Research》 (气候变化研究进展(英文版))

年 卷 期:2022年第13卷第1期

页      面:1-13页

核心收录:

学科分类:07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基  金:This work was supported by the National Natural Science Foundation of China(41675075 91637210 and 91737306) 

主  题:CMIP6 HighResMIP Model evaluation Precipitation Elevation Central Asia 

摘      要:The High Resolutio n Model Intercomparison Project(HighResMIP)experiment within the Coupled Model In tercomparison Project Phase 6(CMIP6),for the first time,has provided an opportunity to evaluate the performance of climate models over complex *** on the HighResMIP s historical simulations of atmospheric general circulation models,the performances of global high-resolution models,with a horizontal resolution finer than 50 km,in representing precipitation over Central Asia were evaluated using rain gauge observation *** the models successfully reproduce the large precipitation regions that are located over the mountainous areas and Northern Central ***,nearly all the models overestimate precipitation frequency over Central Asia and large overestimations of precipitation amount and frequency are located over the mountainous *** the HighResMIP multi-model ensemble mean performs better than all individual models at simulating the spatial pattern of precipitation frequency,it is inferior to HadGEM3-GC31-HM and ECMWF-IFS-HR at simulating that of precipitation *** simulation performance exhibits remarkable regional *** the Qilian Mountains,the relationship between precipitation and elevation is totally captured by climate *** contrast,over the Tianshan Mountains,the models fail to simulate the decrease in precipitation frequency after elevation higher than the maximum precipitation *** models successfully reproduce the annual cycle shape of precipitation amount over the Southern Central Asia,Qilian Mountains and Tianshan Mountains,but fail to reproduce it over the Northern Central *** than half of the high-resolution GCMs have a reduced bias relative to the corresponding low-resolution *** performances of most high-resolution GCMs in simulating precipitation pattern are well over the Tianshan Mountains.

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