The mesoscale model WRFV3.5 was used to compare the result of different cumulus convectional and microphysical parameterization schemes on rainstorm simulating over Fujian area, and do simulated test on heavy rain by assimilating Doppler radar data in Fujian. The result indicated that the microphysical parameterization of WSM5 along with BMJ cumulus convectional parameterization had relatively well matched with observed strong precipitation, the TS score of this group were 0.29 both in downfall and rainstorm simulating. The Doppler radar data directly assimilated into the mesoscale model, which focused on the rainstorm period of typhoon, applied by the Three Dimensional Variation Assimilation System (3DVAR). The simulated effect was better with Doppler than assimilation of surface observed data. Furthermore, the radar reflectively data assimilation, which made the rainstorm area adjust to the south, was favored to precipitation area simulations (the TS score increased by 0.12), while only assimilated radial velocity of Doppler data could be advantaged to rainfall strength simulations (the TS score increased by 0.13). The result of assimilation with both reflectively and radial velocity data showed minimum deviation compared to observation (the TS score increased by 0.16). In addition, the result also showed interval time of assimilation had obvious influenced on simulated effects, and three or six hour of assimilated interval time was the best experiment in case simulations.
JIANG Zongxiao
,
SHEN Yongsheng
,
JIANG Yongcheng
,
ZENG Xiaomei
,
LIAO Yanzhen
,
WANG Tie
. Application of Assimilation of Doppler Radar Data on Heavy Rain Simulating Test in Fujian[J]. Plateau Meteorology, 2019
, 38(3)
: 563
-572
.
DOI: 10.7522/j.issn.1000-0534.2018.00155
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