In this paper, an analysis, with the simulation of PRECIS （Providing Regional Climate for Impact Studies）, was made for future precipitation extremes, under SRES （Special Report on Emission Scenarios） A2 and B2 in...In this paper, an analysis, with the simulation of PRECIS （Providing Regional Climate for Impact Studies）, was made for future precipitation extremes, under SRES （Special Report on Emission Scenarios） A2 and B2 in IPCC （Intergovernmental Panel on Climate Change） AR4. The precipitation extremes were calculated and analyzed by ETCCDI （Climate Change Detection and Indices）. The results show that： （1） In Present Scenario （1961 1900）, PRECIS could capture the spatial pattern of precipitation in Xinjiang. （2） The simulated annual precipitation and seasonal precipitation in Xinjiang had a significantly positive trend and its variability had been deeply impacted by terrain. There was a strong association between increasing trend and the extreme precipitation＇s increase in frequency and intensity during 1961-2008. Under SRES A2 and B2, extreme precipitation indicated an increasing tendency at the end of the 21st century. The extreme summer pre- cipitation increased prominently in a year. （3） PREC1S＇s simulation under SRES A2 and B2 indicated increased frequency of heavy precipitation events and also enhancement in their intensity towards the end of the 21 st century. Both A2 and B2 scenarios show similar patterns of projected changes in precipitation extremes towards the end of the 21st century. However, the magnitude of changes in B2 scenario was on the lower side. In case of extreme precipitation, variation between models can exceed both internal variability and variability of different SRES.展开更多
利用英国Hadley中心QUMP模式（Quantifying Uncertainties in Model Projections）集合的5组敏感性试验产生的全球气候背景场驱动区域气候模拟系统PRECIS（Providing Regional Climates for Impacts Studies）产生的降尺度数据,分析PRE...利用英国Hadley中心QUMP模式（Quantifying Uncertainties in Model Projections）集合的5组敏感性试验产生的全球气候背景场驱动区域气候模拟系统PRECIS（Providing Regional Climates for Impacts Studies）产生的降尺度数据,分析PRECIS对中国地面气温变化的模拟能力,同时对SRES A1B温室气体排放情景下21世纪中期（2021-2050年）中国区域的温度做出预估。模拟能力分析结果显示：PRECIS在5组背景场驱动下都可以较好地模拟出气候基准时段（1961-1900年）中国区域气温的年变化和时空分布特征,但存在暖偏差,高敏感度模拟实验的暖偏差幅度要大于中低敏感度。预估结果显示：5组敏感性试验降尺度模拟的温度均呈增加趋势,其中最低温度的变暖幅度高于平均温度和最高温度。高敏感度试验Q10模拟的升温幅度介于低敏感度模拟和中敏感度模拟之间,其他敏感性试验表现出高敏感度模拟的升温幅度高于中敏感度模拟,而中敏感度模拟高于低敏感度模拟。从模拟的升温空间分布上看,西北地区升温幅度最显著,可达2.08-2.61°C,华南地区升温幅度相对较小,为1.33-1.84°C,但不同敏感度模拟的升温幅度具有一定的区域差异。展开更多
基金funded by Henan Province Office of education of Humanities and social science research projects (2014-qn-151)the "Western Light" Project (RCPY200902) of the Chinese Academy of Sciences+3 种基金the special scientific research project (GYHY200706008)the project of National Social Science Foundation (14CJY077)Science and Technology Department of Henan Province key scientific and technological project (142102310299)the National Natural Science Foundation (41171066) of Xinjiang Institute of Ecology and Geography
文摘In this paper, an analysis, with the simulation of PRECIS （Providing Regional Climate for Impact Studies）, was made for future precipitation extremes, under SRES （Special Report on Emission Scenarios） A2 and B2 in IPCC （Intergovernmental Panel on Climate Change） AR4. The precipitation extremes were calculated and analyzed by ETCCDI （Climate Change Detection and Indices）. The results show that： （1） In Present Scenario （1961 1900）, PRECIS could capture the spatial pattern of precipitation in Xinjiang. （2） The simulated annual precipitation and seasonal precipitation in Xinjiang had a significantly positive trend and its variability had been deeply impacted by terrain. There was a strong association between increasing trend and the extreme precipitation＇s increase in frequency and intensity during 1961-2008. Under SRES A2 and B2, extreme precipitation indicated an increasing tendency at the end of the 21st century. The extreme summer pre- cipitation increased prominently in a year. （3） PREC1S＇s simulation under SRES A2 and B2 indicated increased frequency of heavy precipitation events and also enhancement in their intensity towards the end of the 21 st century. Both A2 and B2 scenarios show similar patterns of projected changes in precipitation extremes towards the end of the 21st century. However, the magnitude of changes in B2 scenario was on the lower side. In case of extreme precipitation, variation between models can exceed both internal variability and variability of different SRES.
文摘利用英国Hadley中心QUMP模式（Quantifying Uncertainties in Model Projections）集合的5组敏感性试验产生的全球气候背景场驱动区域气候模拟系统PRECIS（Providing Regional Climates for Impacts Studies）产生的降尺度数据,分析PRECIS对中国地面气温变化的模拟能力,同时对SRES A1B温室气体排放情景下21世纪中期（2021-2050年）中国区域的温度做出预估。模拟能力分析结果显示：PRECIS在5组背景场驱动下都可以较好地模拟出气候基准时段（1961-1900年）中国区域气温的年变化和时空分布特征,但存在暖偏差,高敏感度模拟实验的暖偏差幅度要大于中低敏感度。预估结果显示：5组敏感性试验降尺度模拟的温度均呈增加趋势,其中最低温度的变暖幅度高于平均温度和最高温度。高敏感度试验Q10模拟的升温幅度介于低敏感度模拟和中敏感度模拟之间,其他敏感性试验表现出高敏感度模拟的升温幅度高于中敏感度模拟,而中敏感度模拟高于低敏感度模拟。从模拟的升温空间分布上看,西北地区升温幅度最显著,可达2.08-2.61°C,华南地区升温幅度相对较小,为1.33-1.84°C,但不同敏感度模拟的升温幅度具有一定的区域差异。
