摘要
作者分析了降水概率预报的基本特征,在北京中尺度数值预报模式(BMNFM)的基础上应用事件概率回归估计(REEP)方法,建立北京地区夏季两个量级(≥0.1mm和≥10.0mm)的降水概率预报方程,并结合最新天气观测资料和预报员知识订正客观预报结果。应用B评分,Bs评分和Bias方法对主观降水概率预报和客现降水概率预报进行评估。
he basic characteristics of precipitation probability forecasts (PPS) are analysed. Theprobabilistic quantitative precipitation forecast equation is given by the use of REEP methodbased on the BMNFM. Moreover,the objective results are verified by new weather data andforecaster's knowledge,and the objective PPF and subjective PPF are estimated by B score.
出处
《气象》
CSCD
北大核心
1996年第1期3-6,共4页
Meteorological Monthly
关键词
降水
概率预报
布莱尔评分
回归估计
降水预报
precipitation probability forecasts Brier score regression estimation ofextent probability