DOI: 10.1002/2013JD020405
论文题名: Impacts of assimilation of ATMS data in HWRF on track and intensity forecasts of 2012 four landfall hurricanes
作者: Zou X. ; Weng F. ; Zhang B. ; Lin L. ; Qin Z. ; Tallapragada V.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 20 起始页码: 11558
结束页码: 11576
语种: 英语
英文关键词: assimilation
; ATMS
; Hurricane
Scopus关键词: Data processing
; Experiments
; Hurricanes
; Microwave acoustics
; Advanced technology microwave sounders
; assimilation
; ATMS
; Data assimilation systems
; National centers for environmental predictions
; Polar-orbiting satellite instruments
; Statistical interpolation
; Weather research and forecasting
; Weather forecasting
; data assimilation
; data quality
; hurricane
; hurricane event
; microwave imagery
; prediction
; radiance
; weather forecasting
英文摘要: This study demonstrates the added benefits of assimilating the Advanced Technology Microwave Sounder (ATMS) radiances in the Hurricane Weather Research and Forecasting (HWRF) system to forecasts of four Atlantic hurricane cases that made landfall in 2012. In the National Centers for Environmental Prediction (NCEP) Gridpoint Statistical Interpolation data assimilation system, the HWRF model top is raised to ~0.5 hPa and the cold start embedded in the HWRF system is changed to a warm start. The ATMS data quality control (QC) procedure is examined and illustrated for its effectiveness in removing cloudy radiances of all the 22 ATMS channels using primarily the information from ATMS channels 1 and 2. For each hurricane case, two pairs of data assimilation and forecasting experiments are carried out and compared with and without including ATMS data. The only difference between the two pairs of experiments is that the second pair also includes data from several other polar-orbiting satellite instruments. It is shown that ATMS data assimilation in HWRF results in a consistent positive impact on the track and intensity forecasts of the four landfall hurricanes. Key Points The HWRF model top is raised to 0.5 hPa for an effective ATMS data assimilation The HWRF cold start is changed to warm start to avoid double use of data A consistent positive impact of ATMS data for TC track and intensity forecasts ©2013 The Authors. Journal of Geophysical Research: Atmospheres published by Wiley on behalf of the American Geophysical Union. 资助项目: AGS-1037936
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63211
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: Department of Earth, Ocean and Atmospheric Sciences, Florida State University, 404 Love Building, Tallahassee, FL 32306, United States; NOAA Center for Satellite Applications and Research, College Park MD, United States; Earth Resources Technology, Inc, Laurel MD, United States; Joint Center for Satellite Data Assimilation, College Park MD, United States; Nanjing University of Information Science and Technology, Nanjing, China; NOAA NCEP Environmental Modeling Center, College Park MD, United States
Recommended Citation:
Zou X.,Weng F.,Zhang B.,et al. Impacts of assimilation of ATMS data in HWRF on track and intensity forecasts of 2012 four landfall hurricanes[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(20)