DOI: 10.1175/JCLI-D-12-00135.1
Scopus记录号: 2-s2.0-84877835761
论文题名: Analysis of Tropical Cyclone Precipitation Using an Object-Based Algorithm
作者: Skok G. ; Bacmeister J. ; Tribbia J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2013
卷: 26, 期: 8 起始页码: 2563
结束页码: 2579
语种: 英语
Scopus关键词: Accumulated cyclone energies
; Interannual variability
; Linear relationships
; Multi-sensor precipitations
; Northeast Pacific Basin
; Object identification
; Total precipitation
; Tropical rainfall measuring missions
; Algorithms
; Lasers
; Rain gages
; Storms
; Hurricanes
; algorithm
; annual variation
; correlation
; precipitation assessment
; precipitation intensity
; seasonal variation
; trend analysis
; TRMM
; tropical cyclone
; Atlantic Ocean
; Atlantic Ocean (North)
; Pacific Ocean
; Pacific Ocean (Northeast)
; Pacific Ocean (Northwest)
; Pacific Ocean (South)
英文摘要: A recently developed object identification algorithm is applied to multisensor precipitation estimates from the Tropical Rainfall Measuring Mission (TRMM 3B42) to detect and quantify the contribution of tropical cyclone precipitation (TCP) to total precipitation between 1998 and 2008. The study period includes 1144 storms. Estimates of TCP derived here are similar in pattern and seasonal variation to earlier estimates but are somewhat higher in magnitude. Annual-mean TCP fractions of over 20% are diagnosed over large swaths of tropical ocean, with seasonal means in some regions of more than 50%. Interannual variability of TCP is examined, and a small but significant downward trend in global TCP from 1998 to 2008 is found, consistent with results from independent studies examining accumulated cyclone energy (ACE). Relationships between annual-mean ACE and TCP in each major tropical cyclone basin are examined. High correlations are found in almost every basin, although different linear relationships exist in each. The highest ACE/TCP ratios are obtained in the North Atlantic and northeast Pacific basins, with lower ratios present in the northwest Pacific and South Pacific basins. © 2013 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51888
Appears in Collections: 气候变化事实与影响
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作者单位: Faculty of Mathematics and Physics, University of Ljubljana, Centre of Excellence SPACE-SI, Ljubljana, Slovenia; National Center for Atmospheric Research, Boulder, Colorado, United States
Recommended Citation:
Skok G.,Bacmeister J.,Tribbia J.. Analysis of Tropical Cyclone Precipitation Using an Object-Based Algorithm[J]. Journal of Climate,2013-01-01,26(8)