首页|CMIP5模式对江淮流域极端气候指数的模拟评估及预估

CMIP5模式对江淮流域极端气候指数的模拟评估及预估

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基于1976-2005年淮河流域260个区域站点观测资料及CMIP5中19个全球气候模式模拟的16个极端气候指数格点资料,利用空间相关系数、均方根误差方法对CMIP5各模式和多模式集合模拟的极端气候指数分别进行评估,并研究在RCP4.5情境下CMIP5优选模式的多模式集合预估2016-2045年和2071-2100年的江淮流域极端气候指数变化情况,结果表明:(1)CMIP5中有11个模式与站点观测的空间相关系数较高.其中,CCSM4、CM-CC-CM 模拟 TXx 的结果最好,ACCESS1-0、MPI-ESM-LR、MPI-ESM-MR 和 GFDL-ESM2M 对于 TNn 具有较好的模拟能力,ACCESS1-0、CMCC-CM对Rx1day具有良好的模拟能力.(2)CMIP5多模式集合模拟结果能很好地再现1976-2005年R95p、R99p、CDD的空间分布特点,但是对GSL、CSDI及极端气候强度指数模拟的结果与站点资料偏差较大.(3)在RCP4.5情境下,CMIP5多模式集合模拟的江淮流域极端气候指数中,在2016-2045年的TXx普遍增加了 1.0℃左右,TNn在安徽省北部和河南省东部增加了约1.8 ℃,Rx1day和Rx5day的高增长区集中在河南省北部;2071-2100年,TXx和TNn增长幅度大于2.1 ℃,Rx1day和Rx5day各站点增长幅度的差异减弱.
Evaluation and Estimation of Extreme Climate Index in the Yangtze-Huaihe River Basins Based on CMIP5 Models
Based on the observation data of 260 regional stations in the Yangtze-Huaihe River Basin from 1976 to 2005 and the data of 16 extreme climate index grid points simulated by 19 CMIP5 global cli-mate models,this paper evaluates the extreme climate indices simulated by each model and multi-model ensemble of CMIP5 by using the methods of spatial correlation coefficient and root mean square error.Moreover,changes of extreme climate indices in the Yangtze-Huaihe River Basin in 2016-2045 and 2071-2100 projected by CMIP5 model ensemble under RCP4.5 scenario are also studied.The results show that:(1)The simulation results of 11 CMIP5 models have high spatial correlation coefficient with site observation.CCSM4 and CMCC-CM have the best simulation results of TXx;ACCESS1-0,MPI-ESM-LR,MPI-ESM-MR and GFDL-ESM2M have good simulation ability for TNn;ACCESS1-0 and CM-CC-CM have good simulation ability for Rx1day.(2)CMIP5 multi-model ensemble can well reproduce the spatial distribution characteristics of R95p,R99p and CDD in 1976-2005,but their simulation re-sults of GSL,CSDI and extreme climate intensity indices differ greatly from the site data.(3)In the ex-treme climate indices projected by CMIP5 models under RCP4.5 scenario,TXx will generally rise by about 1 ℃ in 2016-2045,TNn will rise by more than 1.8 ℃ in northern Anhui and eastern Henan,and the high growth areas of Rxlday and Rx5day will be concentrated in northern Henan.From 2071 to 2100,TXx and TNn will increase by more than 2.1 ℃,and the difference of the increment between Rx1day and Rx5day stations will get weakened.

extreme climate indexCMIP5Yangtze-Huaihe River Basin

吴晶璐、汤剑平、吴建秋、黄文彦、雷正翠、姚丽娜、蒋骏

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常州市气象局,常州 213022

南京大学大气科学学院,南京 210023

极端气候指数 CMIP5 江淮流域

常州市气象局科研开发项目

1904

2024

气象与环境科学
河南省气象局

气象与环境科学

CSTPCD
影响因子:1.28
ISSN:1673-7148
年,卷(期):2024.47(3)
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