Extended Abstract

Horizontal grid distance 18km 6kmHorizontal grid number 102 102 83 83The vertical resolution 500m 500mLayer number 35 35Cumulus clouds parameterschemesradiative processmicrophysical processEarth’s surface schemeKain-FritschnoneAtmospheric radiative transfer parameterization schemeIce microphysical processdouble surface modelWe added the radar data in the inner layer initial field from 22 :00,and lasts for 6h. Contrast testsare divided into seven groups, see table 2.Table 2 7 contrast experimentsShort title Radar reflectivity data Radar radial wind dataref Initial field assimilation Not assimilationvel Not assimilation Initial field assimilationrefvel Initial field assimilation Initial field assimilationrefs Every hour assimilation Not assimilationvels Not assimilation Every hour assimilationrefvels Every hour assimilation Every hour assimilationcntl Not assimilation Not assimilation4 effect that radar reflectivity and radial wind to the initial humidity and wind field4.1 humidity analysis after radar data addedFig.1 the rain water mixing ratio of ref、vel、refvel and cntl experiments at 23:00(4km height,unit: g/kgVisible, reflectivity assimilation is better than radial wind assimilation for the moisture forecast, but withthe integration, the test will gradually deviated from moisture position and more false liquid waterappeared.4.2 wind field analysis after radar data addedAfter the initial time that radar data added, the refvel and vel tests appeared wind convergencecorresponded to the strong convective center,which means that radial wind data assimilation promoted themesoscale activity but reflectivity didn't.With the integration of assimilation, the initial assimilation effect will be weakened gradually. Therefore,the following experiments are designed: the output of an hour will be the initial field of next time for-244-