DOI: 10.1175/JCLI-D-16-0557.1
Scopus记录号: 2-s2.0-85018982062
论文题名: How well are tropical cyclones represented in reanalysis datasets?
作者: Hodges K. ; Cobb A. ; Vidale P.L.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期: 14 起始页码: 5243
结束页码: 5264
语种: 英语
Scopus关键词: Storms
; Tropics
; Higher resolution
; Identification scheme
; Monsoon depressions
; Operational procedures
; Reanalysis
; Subtropical cyclones
; Tropical cyclone
; Tropical depressions
; Hurricanes
英文摘要: Tropical cyclones (TCs) are identified and tracked in six recent reanalysis datasets and compared with those from the IBTrACS best-track archive. Results indicate that nearly every cyclone present in IBTrACS over the period 1979-2012 can be found in all six reanalyses using a tracking and matching approach. However, TC intensities are significantly underrepresented in the reanalyses compared to the observations. Applying a typical objective TC identification scheme, it is found that the largest uncertainties in TC identification occur for the weaker storms; this is exacerbated by uncertainties in the observations for weak storms and lack of consistency in operational procedures. For example, certain types of storms, such as tropical depressions, subtropical cyclones, and monsoon depressions, are not included in the best-track data for all reporting agencies. There are definite improvements in how well TCs are represented in more recent, higher-resolution reanalyses; in particular MERRA-2 is comparable with the NCEP-CFSR and JRA-55 reanalyses, which perform significantly better than the older MERRA reanalysis. © 2017 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/48868
Appears in Collections: 气候变化与战略
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作者单位: Department of Meteorology, University of Reading, Reading, United Kingdom; National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading, United Kingdom
Recommended Citation:
Hodges K.,Cobb A.,Vidale P.L.. How well are tropical cyclones represented in reanalysis datasets?[J]. Journal of Climate,2017-01-01,30(14)