GSTDTAP  > 气候变化
DOI10.1175/JCLI-D-19-0255.1
Global Ocean Extreme Wave Heights from Spatial Ensemble Data
Takbash, Alicia; Young, Ian R.
2019-10-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2019
卷号32期号:20页码:6823-6836
文章类型Article
语种英语
国家Australia
英文摘要

A novel approach to estimation of extreme value ocean significant wave height is investigated, in which data from adjacent regions are pooled to form a spatial ensemble. The equivalent duration of this ensemble region is the sum of the durations of the data pooled to form the ensemble. To create such a spatial ensemble, data from regions to be pooled must be independent and identically distributed. ERA-Interim reanalysis data are used to investigate the requirement of independent and identically distributed data on a global basis. As a result, typical spatial ensembles are defined for a number of regions of the world and the 100-yr return period significant wave height is calculated for these regions. It is shown that the method can result in a reduction in the confidence interval for such extreme value estimates of between 30% and 60%. The method is demonstrated both with ERA-Interim data and altimeter data.


英文关键词Extreme events Sea state Severe storms
领域气候变化
收录类别SCI-E
WOS记录号WOS:000485861100001
WOS关键词WIND-SPEED ; ALTIMETER ; CLIMATE ; REANALYSIS ; BOOTSTRAP ; INTERIM ; VARIABILITY
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/187445
专题气候变化
作者单位Univ Melbourne, Dept Infrastruct Engn, Parkville, Vic, Australia
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GB/T 7714
Takbash, Alicia,Young, Ian R.. Global Ocean Extreme Wave Heights from Spatial Ensemble Data[J]. JOURNAL OF CLIMATE,2019,32(20):6823-6836.
APA Takbash, Alicia,&Young, Ian R..(2019).Global Ocean Extreme Wave Heights from Spatial Ensemble Data.JOURNAL OF CLIMATE,32(20),6823-6836.
MLA Takbash, Alicia,et al."Global Ocean Extreme Wave Heights from Spatial Ensemble Data".JOURNAL OF CLIMATE 32.20(2019):6823-6836.
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