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CMIP5气候模式对未来30年太阳辐射变化的预估研究
引用本文:贾东于,李开明,杨丽薇,高晓清,赵传成.CMIP5气候模式对未来30年太阳辐射变化的预估研究[J].太阳能学报,2020(3):199-205.
作者姓名:贾东于  李开明  杨丽薇  高晓清  赵传成
作者单位:兰州城市学院地理与环境工程学院;中国科学院西北生态环境资源研究院/中国科学院寒旱区陆面过程与气候变化重点实验室
基金项目:国家重点研发计划(2018YFB1502800);国家自然科学基金(41805085);中国科学院寒旱区陆面过程与气候变化重点实验室开放基金(LPCC2018006);甘肃省自然科学基金(18JR3RA221)。
摘    要:使用CMIP5中33个全球气候模式的模拟数据,选择中位数集合方案,分别在RCP4.5和RCP8.5情景下对2006~2050年全球所有天气条件下地表接收到的太阳辐射、无云条件下地表接收到的太阳辐射、相对湿度、近地层风速、近地层气温和云量的变化进行预估研究。结果表明:1)在RCP8.5情景下,气温的增温率在50°N以北地区最大,达0.12 K/a。同时北半球增温率大于南半球,陆表气温的增温率大于海表气温;2)在RCP4.5和RCP8.5情景下,中国东南部和欧洲中东部地区的地表太阳直接辐射呈现较大正趋势;3)在所选3个区域中,不同RCP情景下地表太阳辐射均呈现正趋势,其中在RCP8.5情景下法国波尔多地表太阳辐射呈现最大正趋势。

关 键 词:太阳辐射  气候模式  预测  CMIP5  太阳能  可再生能源

PREDICTION OF SOLAR RADIATION VARIATION IN FUTURE BY CMIP5 CLIMATE MODEL
Jia Dongyu,Li Kaiming,Yang Liwei,Gao Xiaoqing,Zhao Chuancheng.PREDICTION OF SOLAR RADIATION VARIATION IN FUTURE BY CMIP5 CLIMATE MODEL[J].Acta Energiae Solaris Sinica,2020(3):199-205.
Authors:Jia Dongyu  Li Kaiming  Yang Liwei  Gao Xiaoqing  Zhao Chuancheng
Affiliation:(College of Geography and Environmental Engineering,Lanzhou City University,Lanzhou 730010,China;Northwest Institute of Eco-Environment and Resources,CAS/Key Laboratory of Land Process and Climate Change in Cold and Arid Regions,CA5,Lanzhou 730000,China)
Abstract:By using the simulated data of 33 global climate models in CMIP5,this paper chooses the median aggregation scheme to predict the surface solar radiation(including cloudless and all-weather conditions),relative humidity,nearsurface wind velocity,near-surface temperature,cloud variation of global and three focal photovoltaic power plants under different RCP scenarios(RCP4.5 and RCP8.5). The results show that:1)Under RCP 8.5 scenario,the growht rate of temperature is maximum value in the 50°N,which is 0.12 K/a. At the same time,the increasing trend of the northern hemisphere is greater than that of the southern hemisphere,and the increasing trend of the land surface is greater than that of the ocean. 2)Under RCP 4.5 and RCP 8.5 scenarios,the surface solar radiation in southeastern China and East-and Central-Europe shows the larger positive trend. 3)For selected three regions,the surface solar radiation shows a positive trend under different RCP scenarios. Among them,under RCP8.5 scenario,the variation of surface solar radiation at Bordeaux region in France shows the largest positive trend.
Keywords:solar radiation  climate model  prediction  CMIP5  solar energy  renewable energy resource
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