Short-Range Ensemble Forecasts of Precipitation during the Southwest Monsoon

Short-Range Ensemble Forecasts of Precipitation during the Southwest Monsoon
复制标题

DOI:
10.1175/1520-0434(2002)017
复制
发表时间:
2002-10
影响因子:
2.9
通讯作者:
D. Bright;S. Mullen
D. Bright;S. Mullen
中科院分区:
地球科学3区
文献类型:
--
作者:
D. Bright;S. Mullen

文献摘要

被引文献

相似文献

摘要第五代宾夕法尼亚州立大学-国家大气研究中心中尺度模式(MM 5)集成的技能和潜在价值进行了评估,短期(24小时)概率定量降水预报在亚利桑那州西南季风。不同的合奏结构的灵敏度检查分析的不确定性,模型参数化的不确定性,以及两者的组合。模型的不确定性是通过不同的积云和行星边界层参数化,并通过随机强迫代表一个组成部分的次网格尺度的不确定性,其中一阶自回归模型增加了随机扰动的凯恩-弗里奇积云计划和中期预报模型PBL计划。结果表明,降水预报是熟练的,可以帮助业务的天气预报员在季风期间,但预报高度依赖积云参数化。那个...
Abstract The skill and potential value of fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) ensembles are evaluated for short-range (24 h) probabilistic quantitative precipitation forecasts over Arizona during the Southwest monsoon. The sensitivity of different ensemble constructs is examined with respect to analysis uncertainty, model parameterization uncertainty, and a combination of both. Model uncertainty is addressed through different cumulus and planetary boundary layer parameterizations and through stochastic forcing representative of a component of subgrid-scale uncertainty, in which a first-order autoregression model adds a stochastic perturbation to the Kain–Fritsch cumulus scheme and Medium-Range Forecast Model PBL scheme. The results indicate that the precipitation forecasts are skillful and may assist operational weather forecasters during the monsoon; however, the forecasts are highly dependent on the cumulus parameterization. The a...