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CMIP5不同典型浓度情景下中国极端高温的时空变化
引用本文:徐新创,闫军辉,刘光旭,钟学斌. CMIP5不同典型浓度情景下中国极端高温的时空变化[J]. 华中师范大学学报(自然科学版), 2017, 51(4): 548-554
作者姓名:徐新创  闫军辉  刘光旭  钟学斌
作者单位:1.湖北科技学院 资源环境科学与工程学院, 湖北 咸宁437100; 2.信阳师范学院 地理科学学院, 河南 信阳 464000; 3.赣南师范大学, 江西 赣州 341000; 4.湖北科技学院 长江中游水土资源研究中心, 湖北 咸宁 437100
摘    要:基于CMIP5 的5个模式逐日最高温度模拟数据,在RCP2.6、RCP4.5、RCP6.0和RCP8.5情景下,以年高温日、强危害性高温日、热浪日数及高温极值等4个极端高温要素为研究对象,通过多模式集合加权平均预估了未来2011年~2099年间近期(2011年~2040年)、中期(2041年~2070年)和远期(2071年~2099年)不同时段极端高温的时空变化,结果表明:1) 随着排放浓度的增高,4个高温要素值均呈增加趋势,RCP8.5情景下增加最为剧烈;与基期(1981年~2010年)比较,RCP8.5远期(2071年~2099年)高温日数、强危害性高温日数、热浪日数大多增加4~8倍,西北、黄淮海、东南、长江中下游等区域普遍出现了45℃以上高温极值;与基期比较,远期极端高温增加1.2~7.5℃;2) 对于各高温要素值,RCP2.6、RCP4.5中期增幅较大,而RCP6.0、RCP8.5远期增幅较大;3) 4种浓度情景下,各区域高温要素值增量变化差异较大,其中,高温日数、热浪日数在东南区增量最大,其余由大至小为依次为长江中下游区、黄淮海区、西北区、西南区、东北区;而强危害性高温日数、年高温极值则以长江中下游区增量最大,其余由高至低为西北区、黄淮海区、东南区、西南区和东北区.

关 键 词:情景   中国   极端高温   时空变化  
收稿时间:2017-07-07

Temporal and spatial variations of extremely high temperature in China under different emission scenarios of CMIP5
XU Xinchuang,YAN Junhui,LIU Guangxu,ZHONG Xuebin. Temporal and spatial variations of extremely high temperature in China under different emission scenarios of CMIP5[J]. Journal of Central China Normal University(Natural Sciences), 2017, 51(4): 548-554
Authors:XU Xinchuang  YAN Junhui  LIU Guangxu  ZHONG Xuebin
Affiliation:1.The School of Resources Environment Science and Technology, Hubei University of Science and Technology, Xianning, Hubei 437100;2.College of Urban and Environmental Sciences, Xinyan Normal University, Xinyang, Henan 464000; 3. Gannan Normal University, Ganzhou, Jiangxi 341000;4.The School of Resources Environment Science and Technology, Land and Water Resources Research Center of the Middle Changjiang River, Xianning, Hubei 437100
Abstract:Based on the scenarios data of five climate modes by the Coupled Model Intercomparison Project Phase 5, this paper analyzes the temporal and spatial variation of extreme temperature indexes, including the number of high temperature days, strong hazard high temperature days, heat waves days and the maximum temperature under the Representative Concentration Pathway 2.6, 4.5, 6.0 and 8.5 during the year from 2011 to 2099. Results show that 1) as the increase of emission concentration the four high temperature index value are elevated, in which RCP8.5 scenario changed most. 2) From the near (2011-2040), the mid (2041-2070) to long term (2071-2099), the values of high temperature various are increased, and the values in the RCP2.6 and RCP4.5 increase higher in the mid period than other two terms, while in the RCP6.0 and RCP8.5 the values increase highest in the long term. 3) The increment of the four various values is great difference in different regions under four scenarios concentrations. The number of high temperature days and heatwave days has highest increment in the southeast, the next turn is the middle and lower reaches of the Yangtze River, the North, Northwest, Southwest and Northeast of China, while the strong hazard high temperature days and the maximum temperature are the highest increments in the middle and lower reaches of the Yangtze River, and the next turn is the northwest, the North, the southeast, the southwest and the northeast.
Keywords:scenario   China   extremely high temperature   temporal and spatial variation  
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