Based on the observation data of 24-hour cumulative precipitation from 92 ground meteorological observation stations in Jiangxi province from March to July during 2015-2016 and the high-resolution numerical forecast d...Based on the observation data of 24-hour cumulative precipitation from 92 ground meteorological observation stations in Jiangxi province from March to July during 2015-2016 and the high-resolution numerical forecast data of precipitation predicted within 24-72 h by the European Centre for Medium-Range Weather Forecasts（ ECMWF）,the Gamma function was used as the fitting function of probability distribution of cumulative precipitation to match the probability of predicted and observed precipitation. Moreover,the change of forecast score before and after the correction was tested. The results showed that the predicted values of heavy precipitation based on ECMWF model were smaller than the observed values,while the predicted values of light precipitation were larger than the observed values. The probability matching correction method could be used to effectively correct systematic errors of model forecast,and the correction effect of all grades of precipitation（ especially for rainstorm） was good.The shorter the period of validity was,the better the correction effect was. The correction method has a good application effect in the interpretation of model precipitation products,and can provide better security services for agricultural production.展开更多
文摘利用NCEP fnl 1°×1°全球资料、常规气象观测资料和风廓线雷达资料,从急流角度入手对2014年5月16-18日江西中北部地区的暴雨过程进行诊断分析。结果表明,超低空、低空急流的加强为暴雨区持续提供能量以及水汽,且急流前端辐合抬升加强了上升运动;高空200 h Pa我国东北地区低涡和南亚高压配合形成的分流区产生的辐散作用对降水存在促进作用;超低空急流脉动有利于强降水的产生;高、低空急流的适宜配置产生的动力场耦合作用,为大暴雨的发生、发展提供非常有利的动力条件。对模式风场预报检验发现,模式预报稳定性较好,但是模式预报在急流核强度上与实况存在一些差别。
基金Supported by the Special Project for Forecasters of China Meteorological Administration(CMAYBY2016-038)
文摘Based on the observation data of 24-hour cumulative precipitation from 92 ground meteorological observation stations in Jiangxi province from March to July during 2015-2016 and the high-resolution numerical forecast data of precipitation predicted within 24-72 h by the European Centre for Medium-Range Weather Forecasts（ ECMWF）,the Gamma function was used as the fitting function of probability distribution of cumulative precipitation to match the probability of predicted and observed precipitation. Moreover,the change of forecast score before and after the correction was tested. The results showed that the predicted values of heavy precipitation based on ECMWF model were smaller than the observed values,while the predicted values of light precipitation were larger than the observed values. The probability matching correction method could be used to effectively correct systematic errors of model forecast,and the correction effect of all grades of precipitation（ especially for rainstorm） was good.The shorter the period of validity was,the better the correction effect was. The correction method has a good application effect in the interpretation of model precipitation products,and can provide better security services for agricultural production.
