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Numerical Simulation and Evaluation of Regional Climate Change in Southwest China by a Regional Climate Model

机译:区域气候模型中西南地区气候变化的数值模拟与评价

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Climate change over five provinces of southwest China including Yunnan,Guangxi,Guizhou, Sichuan,Chongqing are simulated by a regional climate model(RegCM3) using the output of a global coupled atmosphere-ocean model( ECHAM5/MPI-OM) as lateral and boundary conditions. Two sets of 15-year simulations at 20 km gird spacing for present day (1986-2000) and future (2011-2025, IPCC SRES A1B scenario) are conducted with surface air temperature and precipitation as a focal area in analysis. Results show that (1) RegCM3 can reproduce well the spatial disturbution of surface air temperature in soutwest China, while the simulated value is lower than observation.The spatial distribution of precipitation increase from northwest to southeast can also be simulated by RegCM3. Precipitation simulation for the annual mean and in summer is much better than that in winter. The simulaed value in winter is highter than observation. (2) During 2010-2025, there may be a remarkably warming either in annual or seasons.The temperature change in north is larger than that in south. The daily maximum, minimum temperature change in winter is larger than that in summer. (3)Precipitation increase in annual, autumn and winter is agreenment, while precipitation increase is signifcantly in winter. Precipictation decrease in spring and summer isn't obviously. Overall, temperature increase and precipitation decrease in spring and summer might bring on the risk of high temperature and drought in some regions.
机译:气候变化在中国西南五省,包括云南,广西,贵州,四川,重庆是由一个区域气候模型(REGCM3)模拟,使用全球耦合大气模型(ECHAM5 / MPI-OM)作为横向和边界状况。目前(1986-2000)和未来(2011-2025,IPCC SRES A1B场景)的两套15年的模拟型号为20公里的态度间距,用表面空气温度和降水作为分析焦点。结果表明,(1)REGCM3可以恢复良好的中国表面空气温度的空间紊乱,而模拟值低于观察。从西北到东南部的降水量增加也可以通过REGCM3模拟。每年均值和夏季的降水模拟比冬季的均值要好得多。冬季的彩色值高于观察。 (2)在2010 - 2015年期间,年度或季节可能会显着变暖。北方的温度变化大于南方。冬季的每日最大,最低温度变化大于夏季。 (3)每年的降水量,秋季和冬季都是农业,而冬季降水量会显着。春夏的粪便减少并不明显。总体而言,春季和夏季的温度升高和降水量可能会导致一些地区的高温和干旱的风险。

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