利用卫星雷达测高绘制全球风暴潮水位时空变化图

IF 2.2 3区 地球科学 Q2 OCEANOGRAPHY Ocean Dynamics Pub Date : 2024-01-30 DOI:10.1007/s10236-023-01596-2
Inger Bij de Vaate, Dirk Cornelis Slobbe, Martin Verlaan
{"title":"利用卫星雷达测高绘制全球风暴潮水位时空变化图","authors":"Inger Bij de Vaate, Dirk Cornelis Slobbe, Martin Verlaan","doi":"10.1007/s10236-023-01596-2","DOIUrl":null,"url":null,"abstract":"<p>Multi-mission satellite altimetry data have been used to study the spatial and temporal variability in global storm surge water levels. This was done by means of a time-dependent extreme value analysis applied to the monthly maximum detided water levels. To account for the limited temporal resolution of the satellite data, the data were first stacked on a <span>\\(\\varvec{5}^{\\varvec{\\circ }} \\times \\varvec{5}^{\\varvec{\\circ }}\\)</span> grid. Moreover, additional scaling was applied to the extreme value analysis for which the scaling factors were determined by means of a resampling method using reanalysis data. In addition to the conventional analysis using data from tide gauges, this study provides an insight in the ocean-wide storm surge properties. Nonetheless, where possible, results were compared to similar information derived from tide gauge data. Except for secular changes, the satellite-derived results are comparable to the information derived from tide gauges (correlation <span>\\(&gt; \\varvec{0.5}\\)</span>), although the tide gauges show more local variability. Where limited correlation was observed for the secular change, it was suggested that the satellites may not be able to fully capture the temporal variability in the short-lived, tropical storms, as opposed to extra-tropical storms.</p>","PeriodicalId":19387,"journal":{"name":"Ocean Dynamics","volume":"44 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping the spatiotemporal variability in global storm surge water levels using satellite radar altimetry\",\"authors\":\"Inger Bij de Vaate, Dirk Cornelis Slobbe, Martin Verlaan\",\"doi\":\"10.1007/s10236-023-01596-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Multi-mission satellite altimetry data have been used to study the spatial and temporal variability in global storm surge water levels. This was done by means of a time-dependent extreme value analysis applied to the monthly maximum detided water levels. To account for the limited temporal resolution of the satellite data, the data were first stacked on a <span>\\\\(\\\\varvec{5}^{\\\\varvec{\\\\circ }} \\\\times \\\\varvec{5}^{\\\\varvec{\\\\circ }}\\\\)</span> grid. Moreover, additional scaling was applied to the extreme value analysis for which the scaling factors were determined by means of a resampling method using reanalysis data. In addition to the conventional analysis using data from tide gauges, this study provides an insight in the ocean-wide storm surge properties. Nonetheless, where possible, results were compared to similar information derived from tide gauge data. Except for secular changes, the satellite-derived results are comparable to the information derived from tide gauges (correlation <span>\\\\(&gt; \\\\varvec{0.5}\\\\)</span>), although the tide gauges show more local variability. Where limited correlation was observed for the secular change, it was suggested that the satellites may not be able to fully capture the temporal variability in the short-lived, tropical storms, as opposed to extra-tropical storms.</p>\",\"PeriodicalId\":19387,\"journal\":{\"name\":\"Ocean Dynamics\",\"volume\":\"44 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ocean Dynamics\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1007/s10236-023-01596-2\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OCEANOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean Dynamics","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s10236-023-01596-2","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
引用次数: 0

摘要

利用多任务卫星测高数据研究了全球风暴潮水位的时空变化。这是通过对每月最大脱离水位进行随时间变化的极值分析来实现的。为了考虑卫星数据有限的时间分辨率,首先将数据堆叠在一个(\varvec{5}^{\varvec{\circ }} \times \varvec{5}^{\varvec{\circ }} )网格上。此外,还对极值分析进行了额外的缩放,其缩放因子是通过使用再分析数据的重采样方法确定的。除了使用验潮仪数据进行常规分析外,本研究还提供了对全海域风暴潮特性的深入了解。不过,在可能的情况下,研究结果还是与从验潮数据中获得的类似信息进行了比较。除了世俗变化外,卫星得出的结果与验潮仪得出的信息具有可比性(相关性),尽管验潮仪显示出更多的局部变化。在观测到季节性变化的相关性有限时,有人认为卫星可能无法完全捕捉到短命热带风暴的时间变化,而无法捕捉到热带风暴的时间变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Mapping the spatiotemporal variability in global storm surge water levels using satellite radar altimetry

Multi-mission satellite altimetry data have been used to study the spatial and temporal variability in global storm surge water levels. This was done by means of a time-dependent extreme value analysis applied to the monthly maximum detided water levels. To account for the limited temporal resolution of the satellite data, the data were first stacked on a \(\varvec{5}^{\varvec{\circ }} \times \varvec{5}^{\varvec{\circ }}\) grid. Moreover, additional scaling was applied to the extreme value analysis for which the scaling factors were determined by means of a resampling method using reanalysis data. In addition to the conventional analysis using data from tide gauges, this study provides an insight in the ocean-wide storm surge properties. Nonetheless, where possible, results were compared to similar information derived from tide gauge data. Except for secular changes, the satellite-derived results are comparable to the information derived from tide gauges (correlation \(> \varvec{0.5}\)), although the tide gauges show more local variability. Where limited correlation was observed for the secular change, it was suggested that the satellites may not be able to fully capture the temporal variability in the short-lived, tropical storms, as opposed to extra-tropical storms.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ocean Dynamics
Ocean Dynamics 地学-海洋学
CiteScore
5.40
自引率
0.00%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Ocean Dynamics is an international journal that aims to publish high-quality peer-reviewed articles in the following areas of research: Theoretical oceanography (new theoretical concepts that further system understanding with a strong view to applicability for operational or monitoring purposes); Computational oceanography (all aspects of ocean modeling and data analysis); Observational oceanography (new techniques or systematic approaches in measuring oceanic variables, including all aspects of monitoring the state of the ocean); Articles with an interdisciplinary character that encompass research in the fields of biological, chemical and physical oceanography are especially encouraged.
期刊最新文献
A new high-resolution Coastal Ice-Ocean Prediction System for the East Coast of Canada Improvement of drag coefficient parameterization of WAVEWATCH-III using remotely sensed products during tropical cyclones Surface ocean conditions of the Arabian Sea using two different wind forcings in the regional ocean modelling system setup Assessment of tidal current potential in the Amapá’s inner continental shelf (Eastern Amazonia - Brazil) Aggregation and transport of microplastics by a cold-core ring in the southern recirculation of the Kuroshio Extension: the role of mesoscale eddies on plastic debris distribution
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1