基于WRF模式的多源遥感降水资料数据同化研究  

Research of Satellite Precipitation Data Assimilation on WRF Model

作　　者：任静[1,2] 潘小多[1] 

机构地区：[1]中国科学院西北生态环境资源研究院遥感与信息资源实验室,甘肃兰州730000 [2]中国科学院大学,北京100049

出　　处：《遥感技术与应用》2017年第4期593-605,共13页Remote Sensing Technology and Application

基　　金：国家自然科学基金面上项目(41471292);基金委重大研究计划"黑河流域生态-水文过程集成研究"集成项目(91425303)资助

摘　　要：基于WRF模式和四维变分同化4Dvar系统分别同化了从2015年7月1日0时至7月4日0时的TRMM 3B42(Tropical Rainfall Measuring Mission)、GPM(Global Precipitation Measurement)和FY-2G降水资料,并用HiWATER(Heihe Watershed Allied Telemetry Experimental Research)实验的气象站观测资料对结果进行验证。研究结果表明:与控制实验相比,同化多源遥感降水资料可提高降水模拟的精度,同化实验的降水均方根误差在0~4mm之间,其中同化GPM降水资料的结果最优,均方根误差在0.5~1.5mm;4类实验对2m处相对湿度的模拟普遍低于真实观测,相对湿度均方根误差均在10%~50%,且同化GPM降水资料更有利于QCLOUD(Cloud water mixing ratio)、QVAPOR(Vapor water mixing ratio)、QRAIN(Rain mixing ratio)等变量的模拟;同化降水资料对风场模拟的影响极为复杂,不同降水资料的同化结果在黑河上、中和下流域各有优势。在整个流域内10m处6h平均风速的实验值都明显地高于实际观测,其中同化GPM实验结果较好,均方根误差在1.5~3m/s。与TRMM 3B42和FY-2G降水资料相比,GPM降水资料更能捕捉到微量降水和固态降水。因此,同化GPM降水资料更有利于降水,湿度和风速的模拟。Weather research and forecasting model and four-dimensional variational（4Dvar）data assimilation system were used to assimilate Tropical Rainfall Measuring 3B42 precipitation dataset（TRMM 3B42）,Global Precipitation Measurement dataset（GPM）and FY-2G precipitation dataset during 1 July to 4 July 2015.The results showed that：（1）assimilation of the satellite precipitation datasets does improve the forecasting of precipitation,because all assimilation precipitation RMSE are in（0,1）,and assimilating GPM dataset is superior than others;（2）the results of 2 m relative humidity from all experiments underestimated real observations,and 2 m relative humidity RMSE（units %）were in（10,50）.Moreover,assimilating GPM provides an advantage in estimating various air moisture conditions;（3）Although the impact of assimilating precipitation datasets were complex for simulating 10 m wind speed,results of 10 m wind speed experiments were overestimated-the real observation and the RMSE were in 1.5-3 m/s.In conclusion,GPM precipitation datasets assimilation was good for simulating precipitation,relative humidity and 10 m wind speed.

关 键 词：TRMM 3B42 GPM FY-2G降水资料 WRF-4Dvar系统 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]