globalchange  > 气候减缓与适应
DOI: 10.1002/joc.5245
论文题名:
Independently assessing the representation of midlatitude cyclones in high-resolution reanalyses using satellite observed winds
作者: Pepler A.S.; Luca A.D.; Evans J.P.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期:3
起始页码: 1314
结束页码: 1327
语种: 英语
英文关键词: Cyclone ; QuikSCAT ; Rain ; Reanalysis ; Satellite ; TRMM ; Wind
Scopus关键词: Rain ; Rain gages ; Satellites ; Wind ; Complex structure ; Cyclone identifications ; Midlatitude cyclones ; Pressure differences ; QuikSCAT ; Reanalysis ; Satellite observations ; TRMM ; Storms ; assessment method ; cyclone ; observational method ; QuikSCAT ; rainfall ; satellite data ; tracking ; TRMM ; Australia
英文摘要: High-resolution reanalyses offer the potential to improve our understanding of midlatitude cyclones, particularly smaller-scale systems and those with complex structures. However, previous studies have demonstrated large variations in the frequency and characteristics of Australian midlatitude cyclones between reanalyses when using their native resolution. In this paper we use satellite observations of winds and rainfall in order to evaluate the ability of the ERA-Interim, JRA55, MERRA and CFSR reanalyses to reproduce Australian east coast cyclones. The MERRA reanalysis produces a large number of erroneous small-scale lows without cyclonic wind patterns using a simple pressure-difference-based cyclone identification and tracking method. Consequently, we recommend the ERA-Interim reanalysis when using such methods, or applying more complex tracking methods that are able to compensate for these issues. © 2017 Royal Meteorological Society.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117142
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作者单位: Climate Change Research Centre, University of New South Wales, Sydney, Australia; Australian Research Council Centre of Excellence for Climate System Science, Sydney, Australia

Recommended Citation:
Pepler A.S.,Luca A.D.,Evans J.P.. Independently assessing the representation of midlatitude cyclones in high-resolution reanalyses using satellite observed winds[J]. International Journal of Climatology,2018-01-01,38(3)
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