BMA probability quantitative precipitation forecasting of land-falling typhoons in south-east China

作者：Linna ZHAO,Xuemei BAI,Dan QI,Cheng XING

摘要：The probability of quantitative precipitation forecast(PQPF)of three Bayesian Model Averaging(BMA)models based on three raw super ensemble prediction schemes(i.e.,A,B,and C)are established,which through calibration of their parameters using 1-3 day precipitation ensemble prediction systems(EPSs)from the China Meteorological Administration(CMA),the European Centre for Medium-Range Weather Forecasts(ECMWF)and the National Centers for Environmental Prediction(NCEP)and observation during land-falling of three typhoons in south-east China in 2013.The comparison of PQPF shows that the performance is better in the BMA than that in raw ensemble forecasts.On average,the mean absolute error(MAE)of 1 day lead time forecast is reduced by 12.4%,and its continuous ranked probability score(CRPS)of 1-3 day lead time forecast is reduced by 26.2%,respectively.Although the amount of precipitation prediction by the BMA tends to be underestimated,but in view of the perspective of probability prediction,the probability of covering the observed precipitation by the effective forecast ranges of the BMA are increased,which is of great significance for the early warning of torrential rain and secondary disasters induced by it.

发文机构：Chinese Academy of Meteorological Sciences Heilongjiang Meteorological Observatory National Meteorological Centre Heilongjiang Mulan County Meteorological Observatory

关键词：BayesianmodelAVERAGINGprobabilisticquantitativePRECIPITATIONforecastingensemblepredictionTYPHOONPRECIPITATION

分类号： P45[天文地球—大气科学及气象学]