WRF模式在天山地区模拟能力的敏感性评估
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  • 英文篇名:Evaluation on the Sensitivity of WRF Model in the Tianshan Mountains
  • 作者:陈淑莹 ; 胡琪 ; 张弛 ; 陈曦 ; 邱源 ; 杜皓 ; 魏彩霞
  • 英文作者:CHEN Shu-ying;HU Qi;ZHANG Chi;CHEN Xi;QIU Yuan;DU Hao-yang;WEI Cai-xia;State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences;University of Chinese Academy of Sciences;School of Natural Resources and Department of Earth and Atmospheric Sciences,University of Nebraska-Lincoln;
  • 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
  • 英文关键词:WRF;;climate simulation;;physical parameterisation;;sensitive evaluation;;Tianshan Mountains;;Central Asia
  • 中文刊名:GHQJ
  • 英文刊名:Arid Zone Research
  • 机构: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;中国科学院大学;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;
  • 出版日期:2019-01-09
  • 出版单位:干旱区研究
  • 年:2019
  • 期:v.36
  • 基金:国家自然科学基金项目(31661143019,41661144001)资助
  • 语种:中文;
  • 页:GHQJ201901023
  • 页数:11
  • CN:01
  • ISSN:65-1095/X
  • 分类号:196-206
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         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 < R < 0. 95) were better than that of daily minimum temperature( T2 min,0. 62 < R < 0. 88),and T2 min was sensitive to land surface model and cloud-microphysical model. The simulated results of precipitation by WRF were not so ideal with low correlation coefficients about0. 6( R≈0. 6),and they were different from different schemes. The cloud-microphysical scheme WSM 6-class could be used to simulate precipitation well. Kain-Fristch cumulus/convective scheme could not be used to describe the strong convection and complex terrain in the Tianshan Mountains as we got the very large T2 min biases and negative values of precipitation in summer. The best performance combination was WSM 6-class( Cloud-microphysics),Betts-Miller-Janjic( Cumulus/Convective scheme),Mellor-Yamada-Janjic scheme/Monin-Obukhov( Janjic Eta) scheme( Planetary boundary layer/Surface layer scheme),NOAH( Land surface model),and Community Atmosphere Model( Longwave and shortwave radiation).
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