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Remote Sensing Technology and Application  2017, Vol. 32 Issue (4): 593-605    DOI: 10.11873/j.issn.1004-0323.2017.4.0593
    
Research of Satellite Precipitation Data Assimilation on WRF Model
(1.Northwest Institute of Eco\|Enviroment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China)
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Abstract  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.
Key words:  TRMM 3B42;GPM;FY\      2G precipitation;WRF-4Dvar system     
Received:  08 January 2017      Published:  13 September 2017
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. Research of Satellite Precipitation Data Assimilation on WRF Model. Remote Sensing Technology and Application, 2017, 32(4): 593-605.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2017.4.0593     OR     http://www.rsta.ac.cn/EN/Y2017/V32/I4/593

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