DOI: 10.1175/JCLI-D-16-0233.1
Scopus记录号: 2-s2.0-84994106619
论文题名: Seasonal forecasts of major hurricanes and landfalling tropical cyclones using a high-resolution GFDL coupled climate model
作者: Murakami H. ; Vecchi G.A. ; Villarini G. ; Delworth T.L. ; Gudgel R. ; Underwood S. ; Yang X. ; Zhang W. ; Lin S.-J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2016
卷: 29, 期: 22 起始页码: 7977
结束页码: 7989
语种: 英语
Scopus关键词: Forecasting
; Hurricanes
; Storms
; Tropics
; Wind
; Coupled models
; Geophysical fluid dynamics laboratories
; Horizontal resolution
; Hurricanes/typhoons
; Landfalling tropical cyclones
; Seasonal forecasting
; Tropical cyclone
; Western North Pacific
; Climate models
英文摘要: Skillful seasonal forecasting of tropical cyclone (TC; wind speed ≥17.5 m s-1) activity is challenging, even more so when the focus is on major hurricanes (wind speed ≥49.4 m s-1), the most intense hurricanes (category 4 and 5; wind speed ≥58.1 m s-1), and landfalling TCs. This study shows that a 25-km-resolution global climate model [High-Resolution Forecast-Oriented Low Ocean Resolution (FLOR) model (HiFLOR)] developed at the Geophysical Fluid Dynamics Laboratory (GFDL) has improved skill in predicting the frequencies of major hurricanes and category 4 and 5 hurricanes in the North Atlantic as well as landfalling TCs over the United States and Caribbean islands a few months in advance, relative to its 50-km-resolution predecessor climate model (FLOR). HiFLOR also shows significant skill in predicting category 4 and 5 hurricanes in the western North Pacific and eastern North Pacific, while both models show comparable skills in predicting basin-total and landfalling TC frequency in the basins. The improved skillful forecasts of basin-total TCs, major hurricanes, and category 4 and 5 hurricane activity in the North Atlantic by HiFLOR are obtained mainly by improved representation of the TCs and their response to climate from the increased horizontal resolution rather than by improvements in large-scale parameters. © 2016 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50341
Appears in Collections: 气候变化事实与影响
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作者单位: NOAA/GFDL, Princeton, NJ, United States; Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, NJ, United States; IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, IA, United States; Engility, NOAA/GFDL, Princeton, NJ, United States; University Corporation for Atmospheric Research, Boulder, CO, United States
Recommended Citation:
Murakami H.,Vecchi G.A.,Villarini G.,et al. Seasonal forecasts of major hurricanes and landfalling tropical cyclones using a high-resolution GFDL coupled climate model[J]. Journal of Climate,2016-01-01,29(22)