Experiments of assimilating Doppler radar data in forecast of typhoon Saomai

Shen Feifei; Min Jinzhong; Chen Peng; Li Chao

doi:10.3969/j.issn.0253-4193.2015.03.003

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Shen Feifei, Min Jinzhong, Chen Peng, Li Chao. Experiments of assimilating Doppler radar data in forecast of typhoon Saomai[J]. Haiyang Xuebao, 2015, 37(3): 25-36. doi: 10.3969/j.issn.0253-4193.2015.03.003

Citation:

Shen Feifei, Min Jinzhong, Chen Peng, Li Chao. Experiments of assimilating Doppler radar data in forecast of typhoon Saomai[J]. Haiyang Xuebao, 2015, 37(3): 25-36. doi: 10.3969/j.issn.0253-4193.2015.03.003

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Experiments of assimilating Doppler radar data in forecast of typhoon Saomai

doi: 10.3969/j.issn.0253-4193.2015.03.003

1.
Jiangsu Key Laboratory of Meteorological Disaster, Nanjing University of Information Science & Technology, Nanjing 210044, China;College of Atmospheric Science, Nanjing University of Information Science &Technology, Nanjing 210044, China;
2.
Jiangsu Meteorological Information Center, Jiangsu Province, Nanjing 210008, China;
3.
Nantong Meteorological Bureau, Jiangsu Province, Nantong 226018, China

Received Date: 2014-01-01

Abstract

Abstract

The impact of assimilating radar radial velocity data on the analysis and forecasting of the super typhoon "Saomai" (2006) is investigated in this study. The pre-processing and quality control are performed on radar radial velocity observations,which are further assimilated every 30 minutes into the framework of Weather Research and Forecasting (WRF) V3.5 and its three-dimensional variational data assimilation system WRF-3DVAR developed by the U.S. National Center for Atmospheric Research (NCAR). The results show that assimilating Doppler radar radial velocity can improve the typhoon initialization for wind and temperature fields,producing more meticulous mesoscale structure information. Furthermore,radial velocity data assimilation have improved the forecasting of typhoon track,minimum sea level pressure,maximum wind speed,and precipitation. The analysis and forecasting performances can be further improved by reducing the background length-scale.
- radar radial velocity,
- data assimilation,
- WRF-3DVAR,
- numerical simulation

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References(26)

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