| DOI: | 10.1002/2014GL059519
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| 论文题名: | Tropical cyclones in reanalysis data sets |
| 作者: | Murakami H.
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| 刊名: | Geophysical Research Letters
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| ISSN: | 0094-10256
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| EISSN: | 1944-9987
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| 出版年: | 2014
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| 卷: | 41, 期:6 | | 起始页码: | 2133
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| 结束页码: | 2141
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| 语种: | 英语
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| 英文关键词: | JRA-55
; reanalysis
; tropical cyclones
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| Scopus关键词: | NASA
; Sea level
; Weather forecasting
; Correlation coefficient
; European centre for medium-range weather forecasts
; JRA-55
; National centers for environmental predictions
; Reanalysis
; Research and application
; Spatial and temporal distribution
; Tropical cyclone
; Hurricanes
; annual variation
; atmospheric modeling
; climatology
; data interpretation
; data set
; sea level pressure
; spatial distribution
; tropical cyclone
; weather forecasting
; wind velocity
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| 英文摘要: | This study evaluates and compares tropical cyclones (TCs) in state-of-the-art reanalysis data sets including the following: the Japanese 55-year Reanalysis (JRA-55), Japanese 25-year Reanalysis, European Centre for Medium-Range Weather Forecasts Reanalysis-40, Interim Reanalysis, National Centers for Environmental Prediction Climate Forecast System Reanalysis, and NASA's Modern Era Retrospective Analysis for Research and Application (MERRA). Most of the reanalyses reproduce a reasonable global spatial distribution of observed TCs and temporal interannual variation of total TC frequency. Of the six reanalysis data sets, JRA-55 appears to be the best in terms of the following: the highest skill for spatial and temporal distribution of TC frequency of occurrence, highest TC hitting rate, lower false alarm rate, reasonable TC structure in terms of the relationship between maximum surface wind speed and sea level pressure, and higher correlation coefficients for interannual variations of TC frequency. These results also suggest that the finest-resolution reanalysis data sets, like MERRA, are not always the best in terms of TC climatology. © 2014. American Geophysical Union. All Rights Reserved. |
| URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896550137&doi=10.1002%2f2014GL059519&partnerID=40&md5=6c5b95bf18f9c2ce82259e768a1283a0
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| Citation statistics: |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/7520
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| Appears in Collections: | 气候减缓与适应
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作者单位: | International Pacific Research Center, University of Hawai'i at Manoa, Honolulu, HI, United States
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| Recommended Citation: | |
Murakami H.. Tropical cyclones in reanalysis data sets[J]. Geophysical Research Letters,2014-01-01,41(6).
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