DOI: 10.1002/2016MS000674
Scopus记录号: 2-s2.0-84979608001
论文题名: Assimilation of MWHS radiance data from the FY-3B satellite with the WRF Hybrid-3DVAR system for the forecasting of binary typhoons
作者: Xu D ; , Min J ; , Shen F ; , Ban J ; , Chen P
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2016
卷: 8, 期: 2 起始页码: 1014
结束页码: 1028
语种: 英语
英文关键词: Bins
; Covariance matrix
; Forecasting
; Hurricanes
; Satellites
; Storms
; Background-error covariances
; Dynamic structure
; Hybrid
; Multi-variable correlations
; MWHS radiance
; Precipitation forecast
; Specific humidity
; Western North Pacific
; Weather forecasting
; covariance analysis
; data assimilation
; FengYun
; forecasting method
; numerical model
; precipitation (climatology)
; radiance
; typhoid
; water vapor
; Pacific Ocean
; Pacific Ocean (North)
英文摘要: Chan-hom and Linfa were binary typhoons that occurred in the western North Pacific in 2015. In this study, the impacts of FY-3B satellite Microwave Humidity Sounder (MWHS) radiance observations on the analyses and forecasts of Linfa and Chan-hom are assessed. The regional Weather Research and Forecasting model and its data assimilation (DA) systems, using three-dimensional variational (3DVAR) and Hybrid (ensemble/3DVAR) methods are used. Assimilation of the FY-3B MWHS data using the 3DVAR method slightly improves the descriptive wind and temperature fields. Positive impacts on the specific humidity forecasts, for levels higher than 850 hPa, are also obvious. 3DVAR adjusts the typhoons' initial positions and their dynamic structures favorably, yielding better tracks, intensities, and precipitation forecasts, compared to the experiment run without MWHS data (control). With the Hybrid method, the water vapor information from the MWHS data better improve the analyses through multivariable correlations with the flow-dependent background error. The Hybrid method further improves the track, intensities, and precipitation forecasts. For Typhoon Linfa, with the coexistence of Typhoon Chan-hom, the Hybrid method provides a more descriptive background error covariance matrix, than using 3DVAR. Experiments on multiple binary typhoon cases are also provided to further validate the robustness of the results on the FY-3B satellite MWHS radiance data assimilation. © 2016. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75900
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China; National Center for Atmospheric Research, Boulder, CO, United States; Jiangsu Meteorological Information Center, Nanjing, China
Recommended Citation:
Xu D,, Min J,, Shen F,et al. Assimilation of MWHS radiance data from the FY-3B satellite with the WRF Hybrid-3DVAR system for the forecasting of binary typhoons[J]. Journal of Advances in Modeling Earth Systems,2016-01-01,8(2)