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The study of using WRF 3D-Var to assimilate the retrieval wind fields from Doppler radar data

YANG Lili;WANG Ying;YANG Yi;College of Atmospheric Sciences,Lanzhou University,Key Laboratory of Arid Climatic Changing and Reducing Disaster of Gansu Province;Gansu Province Environmental Monitoring Center;  
In order to apply the wind data of C-Band Doppler radar to numerical weather prediction model better,a two-step variational method is utilized to retrieve the wind field of Doppler radar,and then the retrieval wind is processed into a normal form of radiosonde observation.The retrieval wind is assimilated by the WRF 3D-Var system and the forecast is implemented by WRF model.A heavy rainfall process occurred in Tianshui on 19 June2013 is chosen and four experiments were designed to evaluate the performance of the assimilation of radar retrieval wind.The results show that:assimilation of retrieval wind can extend the positive impact on rainfall forecast up to 12 h,especially the improvement is very significant in the 3-9 h after the assimilation and 9-12 h forecast has a positive effect to some extent.However,the 0-3 h accumulation precipitation forecast after the assimilation is not very well when compared with Experiment CTL.In addition,the cycle assimilation is better than only assimilate once but not the more the better.Therefore,assimilation the retrieval wind data from C-Band Doppler radar is very significant in rainfall forecast.
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