摘要
为了研究同化不同观测资料对区域数值模式预报的影响,选取淮河流域一次暴雨过程,采用WRF模式,直接同化NOAA卫星携带的微波温度辐射计资料(AMSUA)、微波湿度辐射计资料(AMSUB)和常规探空资料。结果表明:同化了AMSUA和AMSUB资料后对降水的模拟较控制试验有所调整,从TS和ETS评分上看,在大雨及大暴雨量级,同化卫星资料试验明显优于控制试验。同化探空资料对强降水的模拟最优,对强降水的空漏报也有明显改进。
In order to study the impact of different observation data assimilation on numerical forecast models,the authors used the WRF model to simulate a rainstorm of Huaihe River Basin by assimilating the microwaveradiometer data AMSUA and AMSUB of NOAA satellite, and conventional sounding data. Results showed thatthe assimilation of AMSUA and AMSUB data could affect the precipitation forecast, its results of heavy rainforecast was obviously better than the control test in TS and ETS. The result of sounding data assimilation testwas the best in the heavy rain simulation, which could avoid the false and missing rate of heavy rain significantly.
出处
《中国农学通报》
2016年第23期128-134,共7页
Chinese Agricultural Science Bulletin
基金
淮河流域气象开放研究基金"基于多初值和物理过程的WRF模式区域集合预报研究"(HRM201405)
关键词
卫星资料
同化
探空资料
暴雨
satellite data
assimilation
sounding data
rainstorm
