In order to analyze the effect of rainfall forecast and initial field with the radar data assimilation and different assimilating intermittence in the Southwest Vortex rainstorm process, this paper illustrates the single time and multiple times cycle assimilating experiments in the southwest vortex rainstorm process on 21 July 2012 by assimilating the Chongqing Doppler radar data with the three-dimensional variable data assimilation system (ARPS-3DVAR) and complex cloud analysis scheme of the ARPS model. The result show that: (1) Assimilating radar data, model initial field depict the strong center and distribution of the echo, increasing the meso- and micro-scale systems information. Multiple times cycle assimilation experiments have β meso-scale cyclonic vortex, and work with the lower layer convergence, it enhances the ascending motion and develops the southwest vortex. (2) In prediction field, it greatly improve the situation that no rainfall at the period forecast after assimilating radar data. The 18 min assimilation intermittence experiment does the best rainfall forecast and gets the highest score, as is followed by 12 min, 6 min, single time and 24 min assimilation experiment. (3) The maximum vertical velocity reach maximum value by forecasting 18 min after continues assimilating, it shows that the model takes 18 minutes to adjust a suitable dynamic and thermodynamic constrains among different variables and to achieve a balance condition.When cycle assimilation is shorter or longer than 18 minutes, the mode will be badly effect.This may be the reason why the 18 min assimilation experiment have a better forecast of the rainfall and the highest TS score.
QIN Yuefeng
,
GU Jianfeng
,
WU Zheng
,
LIU Haiwen
,
CHEN Guichuan
,
ZHANG Yaping
. Influence of Frequency Assimilation with Radar Data in Southwest Vortex Rainstorm[J]. Plateau Meteorology, 2015
, 34(4)
: 963
-972
.
DOI: 10.7522/j.issn.1000-0534.2014.00050
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