| DOI: | 10.1007/s00382-011-1066-5
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| Scopus记录号: | 2-s2.0-84862989507
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| 论文题名: | Spatial grids for hurricane climate research |
| 作者: | Elsner J.B.; Hodges R.E.; Jagger T.H.
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| 刊名: | Climate Dynamics
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| ISSN: | 9307575
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| 出版年: | 2012
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| 卷: | 39, 期:2017-01-02 | | 起始页码: | 21
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| 结束页码: | 36
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| 语种: | 英语
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| 英文关键词: | Geographically-weighted regression
; Hexagon grid
; Hurricane
; Spatial autocorrelation
; Spatial data
; Tessellation
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| 英文摘要: | The authors demonstrate a spatial framework for studying hurricane climatology. The framework consists of a spatial tessellation of the hurricane basin using equal-area hexagons. The hexagons are efficient at covering hurricane tracks and provide a scaffolding to combine attribute data from tropical cyclones with spatial climate data. The framework's utility is demonstrated using examples from recent hurricane seasons. Seasons that have similar tracks are quantitatively assessed and grouped. Regional cyclone frequency and intensity variations are mapped. A geographically-weighted regression of cyclone intensity on sea-surface temperature emphasizes the importance of a warm ocean in the intensification of cyclones over regions where the heat content is greatest. The largest differences between model predictions and observations occur near the coast. The authors suggest the framework is ideally suited for comparing tropical cyclones generated from different numerical simulations. © 2011 Springer-Verlag. |
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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/55226
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| Appears in Collections: | 过去全球变化的重建
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作者单位: | Florida State University, Tallahassee, FL, United States
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| Recommended Citation: | |
Elsner J.B.,Hodges R.E.,Jagger T.H.. Spatial grids for hurricane climate research[J]. Climate Dynamics,2012-01-01,39(2017-01-02)
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