| WRF模式在天山地区模拟能力的敏感性评估 |
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| 引用本文： | 陈淑莹,胡琪,张弛,陈曦,邱源,杜皓阳,魏彩霞. WRF模式在天山地区模拟能力的敏感性评估[J]. 干旱区研究, 2019, 36(1): 193-203 |
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| 作者姓名： | 陈淑莹 胡琪 张弛 陈曦 邱源 杜皓阳 魏彩霞 |
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| 作者单位： | 中国科学院新疆生态与地理研究所荒漠与绿洲国家重点实验室,新疆乌鲁木齐830011;中国科学院大学,北京100049;内布拉斯加大学林肯分校自然资源学院和地球与大气科学系,美国林肯州68583;中国科学院新疆生态与地理研究所荒漠与绿洲国家重点实验室,新疆乌鲁木齐,830011 |
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| 基金项目： | 国家自然科学基金;国家自然科学基金 |
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| 摘 要： | 为探寻天山地区气候模拟WRF(weather research and forecasting)模式中最优参数化方案组合,针对云微物理方案(MIC)、积云对流方案(CS)、行星边界层/近地面层方案(PBL/SLS)、陆面过程方案(LSM)以及长短波辐射方案(LSW)设计了6组季节尺度物理参数化方案敏感性试验,模拟时间设为2014-11-28-2015-12-01。利用地面气象站观测数据和GPM(global precipitation measurement)卫星降水数据(R≥0.6),对模式模拟的日最高、最低气温及降水进行验证。结果表明:WRF模式对气温的模拟效果较好,且对日最高气温(0.8
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| 关 键 词： | WRF模式 气候模拟 物理参数化方案 敏感性评估 天山地区 中亚 |
Evaluation on the Sensitivity of WRF Model in the Tianshan Mountains |
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| CHEN Shu-ying,HU Qi,ZHANG Chi,CHEN Xi,QIU Yuan,DU Hao-yang,WEI Cai-xia. Evaluation on the Sensitivity of WRF Model in the Tianshan Mountains[J]. Arid Zone Research, 2019, 36(1): 193-203 |
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| Authors: | CHEN Shu-ying HU Qi ZHANG Chi CHEN Xi QIU Yuan DU Hao-yang WEI Cai-xia |
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| Affiliation: | (State Key Laboratoryr of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academyof Sciences, Urumqi 830011, Xinjiang, China;University of Chinese Academy of Sciences, Beijing 100049, China;School of Natural Resources and Department of Earth and Atmospheric Sciences,University of Nebraska-Lincoln,Lincoln 68583,USA) |
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| Abstract: | In this study,a sensitivity analysis of the weather research and forecasting model(WRF)to different physical options in the Tianshan Mountains was carried out to seek the best performance combination.Yearly simulations at seasonal scale from 28 th November,2014 to 1 st December,2015 were carried out.The station observations and GPM(Global Precipitation Measurement)satellite precipitation data(R≥0.6)were used to validate the simulated daily extreme temperatures and precipitation.This work showed that temperature was modeled by WRF well,the simulated results of daily maximum temperature(T2 max,0.8
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| Keywords: | WRF climate simulation physical parameterisation sensitive evaluation Tianshan Mountains Central Asia |
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