DOI: 10.1002/jgrd.50815
论文题名: Assimilation of T-TREC-retrieved wind data with WRF 3DVAR for the short-term forecasting of typhoon Meranti (2010) near landfall
作者: Li X. ; Ming J. ; Wang Y. ; Zhao K. ; Xue M.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 18 起始页码: 10361
结束页码: 10375
语种: 英语
英文关键词: radar data assimilation
; T-TREC retrieval
; typhoon prediction
Scopus关键词: Data processing
; Doppler radar
; Hurricanes
; Tracking radar
; Wind
; Intensity analysis
; Radar data assimilation
; Radar reflectivities
; Short-term forecasting
; T-TREC retrieval
; Tropical cyclone
; Vortex circulation
; Weather research and forecasting
; Weather forecasting
; atmospheric circulation
; atmospheric convection
; climate modeling
; data assimilation
; Doppler radar
; performance assessment
; typhoon
; vortex
; weather forecasting
; wind field
; wind velocity
英文摘要: An extended Tracking Radar Echo by Correlation (TREC) technique, called T-TREC technique, has been developed recently to retrieve horizontal circulations within tropical cyclones (TCs) from single Doppler radar reflectivity (Z) and radial velocity (Vr , when available) data. This study explores, for the first time, the assimilation of T-TREC-retrieved winds for a landfalling typhoon, Meranti (2010), into a convection-resolving model, the WRF (Weather Research and Forecasting). The T-TREC winds or the original Vr data from a single coastal Doppler radar are assimilated at the single time using the WRF three-dimensional variational (3DVAR), at 8, 6, 4, and 2 h before the landfall of typhoon Meranti. In general, assimilating T-TREC winds results in better structure and intensity analysis of Meranti than directly assimilating Vr data. The subsequent forecasts for the track, intensity, structure and precipitation are also better, although the differences becomes smaller as the Vr data coverage improves when the typhoon gets closer to the radar. The ability of the T-TREC retrieval in capturing more accurate and complete vortex circulations in the inner-core region of TC is believed to be the primary reason for its superior performance over direct assimilation of Vr data; for the latter, the data coverage is much smaller when the TC is far away and the cross-beam wind component is difficult to analyze accurately with 3DVAR method. Key Points Assimilating T-TREC wind is more effective than radial velocitySingle time assimilation of T-TREC wind improves the prediction of typhoonT-TREC wind could extend the utilization of radar data by several hours ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63307
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Key Laboratory of Mesoscale Severe Weather/MOE, School of Atmospheric Sciences, Nanjing University, Nanjing 210093, China; Center for Analysis and Prediction of Storms, School of Meteorology, University of Oklahoma, Norman, OK, United States
Recommended Citation:
Li X.,Ming J.,Wang Y.,et al. Assimilation of T-TREC-retrieved wind data with WRF 3DVAR for the short-term forecasting of typhoon Meranti (2010) near landfall[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(18)