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WRF模式多种边界层参数化方案对四川盆地不同量级降水影响的数值试验
引用本文:高笃鸣,李跃清,蒋兴文,李娟,吴遥.WRF模式多种边界层参数化方案对四川盆地不同量级降水影响的数值试验[J].大气科学,2016,40(2):371-389.
作者姓名:高笃鸣  李跃清  蒋兴文  李娟  吴遥
作者单位:1.成都信息工程学院大气科学学院, 成都 610225;中国气象局成都高原气象研究所, 成都 610072
基金项目:国家自然科学基金91337215、41275051,公益性行业(气象)科研专项经费项目GYHY201406001、GYHY201206039、GYHY201006053,国家重点基础研究发展计划(973计划)项目2012CB417202
摘    要:利用中尺度模式WRF三种边界层参数化方案(MYJ、YSU和ACM2),对2012年四川盆地夏季连续40天逐日降水量进行数值试验,并检验评估了不同边界层参数化方案下模式对分级降水量和边界层结构的模拟能力,分析了各参数化方案对降水量模拟差异的可能原因。结果表明:三种边界层参数化方案对较小量级(小雨和中雨)降水量的模拟,24 h时效优于48 h,ACM2方案效果较好;对较大量级(大雨和暴雨)降水的模拟,48 h时效优于24 h,YSU方案模拟效果较好。对比分析温江站加密探空观测与模式模拟的大气边界层结构表明,ACM2方案对小量级降水时边界层结构的模拟较为准确,而YSU方案更适合于温江站大量级降水时边界层结构的模拟。不同边界层参数化方案对各量级降水量模拟差异的可能原因是边界层湍流混合强度的不同,MYJ方案湍流混合作用较弱,导致底层大量水汽积聚,不稳定性强,容易产生虚假降水,因此对各量级降水模拟能力均有限;YSU方案具有强烈的垂直混合强度,有利于局地水汽的向上输送,更易达到大量级降水发生发展的条件,适用于盆地较大量级降水的模拟;ACM2方案在保证足够湍流混合强度的同时,在较稳定条件下会关闭非局地输送,不致于产生过强降水,适合盆地较小量级降水的数值模拟

关 键 词:边界层参数化    WRF模式    不同量级降水    TS评分    BS评分
收稿时间:2014/11/21 0:00:00

Influence of Planetary Boundary Layer Parameterization Schemes on the Prediction of Rainfall with Different Magnitudes in the Sichuan Basin Using the WRF Model
GAO Duming,LI Yueqing,JIANG Xingwen,LI Juan and WU Yao.Influence of Planetary Boundary Layer Parameterization Schemes on the Prediction of Rainfall with Different Magnitudes in the Sichuan Basin Using the WRF Model[J].Chinese Journal of Atmospheric Sciences,2016,40(2):371-389.
Authors:GAO Duming  LI Yueqing  JIANG Xingwen  LI Juan and WU Yao
Affiliation:1.College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225;Institute of Plateau Meteorology, China Meteorological Administration, Chengdu 6100722.Institute of Plateau Meteorology, China Meteorological Administration, Chengdu 610072
Abstract:The skill of the Weather Research and Forecasting(WRF) model in predicting rainfall in the Sichuan Basin during 21 June to 30 July 2012, with three different Planetary Boundary Layer(PBL) parameterization schemes Mellor-Yamada-Janjic(MYJ), Yonsei University(YSU), and the asymmetric convective model, version 2(ACM2)], was assessed.Results showed that WRF possessed the highest skill amongst the PBL schemes in the 24-h lead prediction for light rain and moderate rain when adopting ACM2.However, the model showed higher skill in the 48-h lead prediction for heavy rain and torrential rain when using the YSU scheme.To investigate the possible causes of the different skill levels with different PBL schemes, we compared the profiles of potential temperature and relative humidity from the observation and simulation at Wenjiang Station.The results showed that the PBL structure was only simulated well by WRF when using the ACM2 scheme during periods of light rain and moderate rain.However, it was captured well by WRF when using the YSU scheme during periods of heavy rain and torrential rain.The different skills of the three schemes in the prediction of rainfall with various magnitudes may be related to their differences in vertical mixing strength.This characteristic is too moist and unstable near the surface in the output of the MYJ scheme.Due to its insufficient vertical mixing, it produces too much spurious rainfall, and so there is a limited ability for the MYJ scheme to simulate rainfall with different magnitudes.Local moisture away from the surface is more easily transported upward by the YSU scheme because its vertical mixing is strong, satisfying the conditions of torrential rain and heavy rain.Therefore, the YSU scheme is suitable for the simulation of heavier rainfall in the Sichuan Basin.The ACM2 scheme features sufficient turbulent mixing strength and, besides, non-local transport will be closed by ACM2 under stable conditions. Therefore, this scheme cannot produce too much precipitation, and is thus more suited to simulating light rainfall and moderate rain in the Sichuan Basin.
Keywords:Planetary boundary layer parameterization  WRF model  Precipitation  Threat score  Bias score
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