Impacts of radiance data assimilation on the Beijing 7.21 heavy rainfall

作者:Xie, YH (Xie, Yanhui)[ 1,2 ] ; Xing, JY (Xing, Jianyong)[ 1,2,3 ] ; Shi, JC (Shi, Jiancheng)[ 1,4 ] ; Dou, YJ (Dou, Youjun)[ 1 ] ; Lei, YH (Lei, Yonghui)[ 1,4 ]

ATMOSPHERIC RESEARCH

卷: 169  页: 318-330  子辑: A

DOI: 10.1016/j.atmosres.2015.10.016

出版年: MAR 1 2016

摘要

Precipitation simulation during the Beijing heavy rainfall event on 21 July 2012 has been investigated in this study. A control run of the Weather Research and Forecasting (WRF) model can roughly simulate the mesoscale features and spatial heterogeneity of precipitation over North China, but it cannot capture the locations, intensity and timing of maximum rainfall over the Beijing area compared with ground observations. To gain better initial conditions in the performance of the mesoscale model, Advanced Microwave Sounding Unit (AMSU) radiance data assimilation was carried out. The spatial distribution and intensity of precipitation have been significantly improved. In particular, data assimilation of Advanced Microwave Sounding Unit-A only has similar impacts on heavy rainfall simulation as the AMSU data assimilation run. Data assimilation of Advanced Microwave Sounding Unit-B only has improved the spatial distribution of heavy rainfall, but it has little impact on the intensity of rainfall. However, the timing of heavy rainfall in all simulations is about 5 to 6 h later than observations. Further analysis shows that the center and strength of the low-pressure system was not well simulated during the early development of heavy rainfall in the model. Results from radiance data assimilation suggest that improvement of the initial conditions plays a positive impact on heavy rainfall in 24 h simulation. Operational forecast system including satellite radiance data assimilation may improve heavy rainfall forecasting. (C) 2015 Elsevier B.V. All rights reserved.

通讯作者地址: Lei, YH (通讯作者)

Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China

[ 2 ] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[ 3 ] SOA, Natl Marine Environm Forecasting Ctr, Key Lab Res Marine Hazards Forecasting, Beijing 100081, Peoples R China

[ 4 ] JCGCS, Beijing 100875, Peoples R China