摘要
WRF(Weather Research Forecast)模式系统是由许多美国研究部门及大学的科学家共同参与进行开发研究的新一代中尺度同化预报系统。本文主要对公开发布的WRF模式V2.0版本中使用的微物理过程方案进行简单介绍,并在国家气象中心建立的与T213中期预报模式相嵌套的预报系统的基础上,对不同微物理过程方案进行了降水预报对比试验和检验,对各方案的降水预报性能进行初步评估。试验结果表明,总体预报效果LIN方案较好,而对流参数化方案从降水落区预报和对流降水对总降水的贡献两方面看则是KF和NKF方案的预报效果较好。
The Weather Research and Forecast （WRF） project as an advanced meso-scale data assimilation and forecast system is developed jointly by a lot of scientists of research institute and university. In this paper, the microphysical process schemes used in WRF model （in version 2.0） which had been published was described simply, based on the WRF model system which nested with T213 medium-range forecast model, the precipitation forecast between different schemes was experimented contrastively and verified, and a preliminary evaluation was presented with regard to each schemes. Experimentation showed that LIN scheme in microphysics and KF and NKF scheme in cumulus convections were better than others.
出处
《沙漠与绿洲气象》
2007年第6期1-6,共6页
Desert and Oasis Meteorology
基金
国家科技攻关计划<奥运气象保障技术研究>课题(2002BA904B05)资助
关键词
WRF模式系统
中尺度同化预报系统
微物理过程
水相物质
WRF model
meso-scale assimilation and forecast system
microphysical processes
aqueous phase matter
