NDLI: Assimilation and simulation of typhoon Rusa (2002) using the WRF system

Content Provider	Springer Nature Link
Author	Jianfeng, Gu Xiao, Qingng Kuo, Ying Hwa Barker, Dale M. Jishan, Xue Xiaoxing, Ma
Copyright Year	2003
Abstract	Using the recently developed Weather Research and Forecasting (WRF) 3DVAR and the WRF model, numerical experiments are conducted for the initialization and simulation of typhoon Rusa (2002). The observational data used in the WRF 3DVAR are conventional Global Telecommunications System (GTS) data and Korean Automatic Weather Station (AWS) surface observations. The Background Error Statistics (BES) via the National Meteorological Center (NMC) method has two different resolutions, that is, a 210-km horizontal grid space from the NCEP global model and a 10-km horizontal resolution from Korean operational forecasts. To improve the performance of the WRF simulation initialized from the WRF 3DVAR analyses, the scale-lengths used in the horizontal background error covariances via recursive filter are tuned in terms of the WRF 3DVAR control variables, streamfunction, velocity potential, unbalanced pressure and specific humidity. The experiments with respect to different background error statistics and different observational data indicate that the subsequent 24-h the WRF model forecasts of typhoon Rusa’s track and precipitation are significantly impacted upon the initial fields. Assimilation of the AWS data with the tuned background error statistics obtains improved predictions of the typhoon track and its precipitation.
Starting Page	415
Ending Page	427
Page Count	13
File Format	PDF
ISSN	02561530
Journal	Advances in Atmospheric Sciences
Volume Number	22
Issue Number	3
e-ISSN	18619533
Language	English
Publisher	Science Press
Publisher Date	2003-01-01
Publisher Place	Beijing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	3DVAR data assimilation background error statistics numerical simulation typhoon Meteorology/Climatology Geophysics/Geodesy
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

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