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未来气候变化情景下中国北方农牧交错带脆弱性评估 被引量:12
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作者 周一敏 张昂 赵昕奕 《北京大学学报(自然科学版)》 EI CAS CSCD 北大核心 2017年第6期1099-1107,共9页
基于中国地面降水和气温0.5°×0.5°格点数据集以及区域协同降尺度试验东亚地区项目组RCP4.5和RCP8.5情景下未来气候预估数据,对中国北方农牧交错带1980—2100年的气候脆弱性进行模拟和分析。结果表明,北方农牧交错带气候... 基于中国地面降水和气温0.5°×0.5°格点数据集以及区域协同降尺度试验东亚地区项目组RCP4.5和RCP8.5情景下未来气候预估数据,对中国北方农牧交错带1980—2100年的气候脆弱性进行模拟和分析。结果表明,北方农牧交错带气候脆弱性在未来的100年中整体上呈现增大的趋势,特别是2050年后,增大速度进一步加剧,到21世纪末,几乎整个北方农牧交错带都表现出明显脆弱性。从宁夏中卫到呼和浩特北部一带,脆弱性形势较为严峻,而大兴安岭北部地区脆弱性程度较低。 展开更多
关键词 中国北方农牧交错带 脆弱性 区域协同降尺度实验
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High-Resolution Projections of Mean and Extreme Precipitation over China by Two Regional Climate Models 被引量:2
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作者 Zhiyu JIANG Zhan TIAN +4 位作者 Guangtao DONG Laixiang SUN Peiqun ZHANG Erasmo BUONOMO Dongli FAN 《Journal of Meteorological Research》 SCIE CSCD 2020年第5期965-985,共21页
In this study, we employ two regional climate models(RCMs or RegCMs), which are RegCM4 and PRECIS(Providing Regional Climates for Impact Studies), with a horizontal grid spacing of 25 km, to simulate the precipitation... In this study, we employ two regional climate models(RCMs or RegCMs), which are RegCM4 and PRECIS(Providing Regional Climates for Impact Studies), with a horizontal grid spacing of 25 km, to simulate the precipitation dynamics across China for the baseline climate of 1981–2010 and two future climates of 2031–2060 and 2061–2090. The global climate model(GCM)—Hadley Centre Global Environment Model version 2-Earth Systems(HadGEM2-ES) is used to drive the two RCMs. The results of baseline simulations show that the two RCMs can correct the obvious underestimation of light rain below 5 mm day^-1 and the overestimation of precipitation above 5 mm day^-1 in Northwest China and the Qinghai–Tibetan Plateau, as being produced by the driving GCM. While PRECIS outperforms RegCM4 in simulating annual precipitation and wet days in several sub-regions of Northwest China, its underperformance shows up in eastern China. For extreme precipitation, the two RCMs provide a more accurate simulation of continuous wet days(CWD) with reduced biases and more realistic spatial patterns compared to their driving GCM. For other extreme precipitation indices, the RCM simulations show limited benefit except for an improved performance in some localized regions. The future projections of the two RCMs show an increase in the annual precipitation amount and the intensity of extreme precipitation events in most regions. Most areas of Southeast China will experience fewer number of wet days, especially in summer, but more precipitation per wet day(≥ 30 mm day^-1). By contrast, number of wet days will increase in the Qinghai–Tibetan Plateau and some areas of northern China. The increase in both the maximum precipitation for five consecutive days and the regional extreme precipitation will lead to a higher risk of increased flooding. The findings of this study can facilitate the efforts of climate service institutions and government agencies to improve climate services and to make climate-smart decisions. 展开更多
关键词 climate change extreme precipitation dynamical downscaling regional climate models(RCMs) coordinated regional downscaling Experiment(cordex)
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