基于最优插值的雷达定量降水估测订正及应用——以广元市为例  

Correction for Radar-Derived Quantitation Precipitation Estimation Based on the Optimum Interpolation and Its Application——Taking Guangyuan as an Example

作　　者：韩焱红[1] 郜静静 苗蕾 赵旋[2,3] HAN Yanhong;GAO Jingjing;MIAO Lei;ZHAO Xuan(Public Meteorological Service Center of China Meteorological Administration,Beijing 100081,China;Institute of Plateau Meteorology,China Meteorological Administration,Chengdu 610072,China;Heavy Rain and Drought-Flood Disaster in Plateau and Basin Key Laboratory,Chengdu 610072,China)

机构地区：[1]中国气象局公共气象服务中心,北京100081 [2]中国气象局成都高原气象研究所,成都610072 [3]高原与盆地暴雨旱涝灾害四川省重点实验室,成都610072

出　　处：《高原山地气象研究》2019年第3期82-85,96,共5页Plateau and Mountain Meteorology Research

基　　金：国家重点研发计划“重大自然灾害监测预警与防范”重点专项“基于地质云的地质灾害预警与快速评估示范研究”项目(2018YFC1505500)

摘　　要：采用基于自适应相关函数的最优插值法对四川广元的雷达定量降水估测进行实时订正并评估其效果。结果表明,该方法有效改善了雷达定量降水估测对弱降雨高估、对强降雨低估的问题,提高了降水估测精度,同时可以更好地模拟降水空间分布特征和时空变化;研究建立的自适应相关函数模型可以根据测站分布情况动态计算最优权重因子,降低了雷达-雨量计联合校准法对测站分布的要求,便于在不同地区开展实际业务应用。The optimal interpolation method based on adaptive correlation functions is used to correct the Radar-derived Quantitation Precipitation Estimation in guangyuan.The result shows:this method makes great improvement regarding to the problem that radar-derived estimate precipitation overestimate weak rain,underestimate heavy rain,improves the accuracy of precipitation estimation.The spatial distribution characteristics of precipitation and the spatio-temporal variations are simulated better.The adaptive correlation function model can dynamically calculate the optimal weighting factor according to the station distribution,reduces the requirement of station distribution,which is convenient for practical application in different areas.

关 键 词：最优插值 雷达定量降水估测 订正 

分 类 号：P426.6[天文地球—大气科学及气象学]