首页|2020年夏季辽宁省多模式降水预报检验

2020年夏季辽宁省多模式降水预报检验

Verification technology of multi-model precipitation forecast in Liaoning province in summer 2020

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选用2020年夏季辽宁省区域自动站资料和7种模式预报资料,根据降水强度将站点分为5种降水类型,分析各数值模式36 h和48 h预报检验降水场的分布误差、相关性及雨带位置.结果表明:36 h预报结果好于48 h,48 h降水量预报结果普遍比观测值偏大.初夏、夏末及秋初,各模式降水量预报偏差相对较小,盛夏的预报值偏差较大,尤其强降水站点的降水量预报值显著偏小.36 h预报值与观测值的相关系数和散点分布表明,弱降水站点和较弱降水站点的ECMWF预报结果最好,NCEP和WRF 3KM次之.中量降水站点、较强降水站点和强降水站点的NCEP预报结果最好,ECMWF和WRF_3KM次之.各模式雨带位置预报存在不同程度偏差,其中ECMWF的结果较好.
Based on precipitation data observed at regional meteorological stations from June to September 2020,we verified the precipitation forecasts from 7 numerical models.We divided the summer precipitation in Liaoning province into 5 types according to the precipitation intensity and selected 3 6-hour and 48-hour forecast times to test the distribution errors and correlations of the precipitation field,as well as the location of the rain-bands.The re-sults show that the 36-hour forecast is better than the 48-hour forecast,and the amount of 48-hour forecast precipi-tation is generally larger than that of the real observations.In early.summer,late summer,and early autumn,the forecast deviation of each model is relatively small,while in midsummer,the prediction deviation of the model is large,especially in those stations where the heavy precipitation occurs.According to the 36-hour correlation coeffi-cient between the precipitation predictions and observations and scatter distribution map,the ECMWF(European Centre for Medium-Range Weather Forecasts)model has the best forecast performance in those stations where the precipitation is classified as weak and weaker.The NCEP(National Centers for Environmental Prediction)model and WRF_3KM(Weather Research and Forecasting)model followed;For the moderate,heavier,and heavy pre-cipitation,the NCEP model has the best forecast performance,ECMWF,and WRF_3KM followed.Different mod-els have different levels of deviation in the forecast of rain-band location,among which ECMWF has the best per-formance.

Numerical modelPrecipitation forecastVerificationRain-band index

王月、刘成瀚、段云霞、孙虹雨、崔景琳、苏雨萌、陈沛宇、班伟龙

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沈阳市气象局,辽宁沈阳 110168

中国气象局沈阳大气环境研究所,辽宁沈阳 110166

东北冷涡研究重点开放实验室,辽宁沈阳 110166

辽宁省气象台,辽宁沈阳 110166

辽宁省气象信息中心,辽宁沈阳 110166

河北省气象技术装备中心,河北石家庄 050021

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数值模式 降水预报 检验 雨带指数

中国气象局沈阳大气环境研究所东北冷涡研究重点开放实验室联合开放基金辽宁省气象局年度基金辽宁省气象局科学技术研究课题沈阳市气象局科研项目

2022SYIAEKFMS102023022021SXB01SY202111

2023

气象与环境学报
中国气象局沈阳大气环境研究所

气象与环境学报

CSTPCD
影响因子:1.433
ISSN:1673-503X
年,卷(期):2023.39(6)
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