诊断高度计时代的区域海平面变化

IF 3.4 2区 地球科学 Q1 OCEANOGRAPHY
Kristopher B. Karnauskas, R. Steven Nerem, John T. Fasullo, Ashley Bellas-Manley, Philip R. Thompson, Sloan Coats, Don P. Chambers, Benjamin D. Hamlington
{"title":"诊断高度计时代的区域海平面变化","authors":"Kristopher B. Karnauskas,&nbsp;R. Steven Nerem,&nbsp;John T. Fasullo,&nbsp;Ashley Bellas-Manley,&nbsp;Philip R. Thompson,&nbsp;Sloan Coats,&nbsp;Don P. Chambers,&nbsp;Benjamin D. Hamlington","doi":"10.1029/2024JC022100","DOIUrl":null,"url":null,"abstract":"<p>Since 1993, satellite altimeters have been mapping sea level changes globally, revealing both the global mean rate and detailed patterns of regional variations. The global mean rate is well studied, closely linked to global energy and water cycles, while regional patterns are influenced by a complex mix of internal climate dynamics and external factors like greenhouse gases and aerosols. Yet, a synthesis of these regional patterns using a comprehensive diagnostic approach has been lacking. Our research addresses this gap by integrating oceanic and atmospheric observations with large ensembles of state-of-the-art global climate models. This approach sheds new light upon the mechanisms behind basin-scale sea level patterns worldwide. A key finding is the dominant influence of wind forcing, particularly Ekman and Sverdrup dynamics, in shaping sea level changes from the tropics to higher latitudes. We find that the pattern of sea level rise since 1993 is primarily driven by wind-induced changes in ocean circulation, which can affect sea surface height through ocean mass and heat distribution. Interestingly, these wind-driven changes are not just products of internal climate variability; most of the observed patterns are recovered by global climate model projections driven by historical anthropogenic forcings, and single-forcing experiments provide further insight into which forcings are responsible for various features in the satellite altimetry record. Understanding the drivers of regional sea level rise, including differentiating anthropogenic signals from natural variability, is essential for effectively adapting to climate change impacts on global infrastructure and society.</p>","PeriodicalId":54340,"journal":{"name":"Journal of Geophysical Research-Oceans","volume":"130 6","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diagnosing Regional Sea Level Change Over the Altimeter Era\",\"authors\":\"Kristopher B. Karnauskas,&nbsp;R. Steven Nerem,&nbsp;John T. Fasullo,&nbsp;Ashley Bellas-Manley,&nbsp;Philip R. Thompson,&nbsp;Sloan Coats,&nbsp;Don P. Chambers,&nbsp;Benjamin D. Hamlington\",\"doi\":\"10.1029/2024JC022100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Since 1993, satellite altimeters have been mapping sea level changes globally, revealing both the global mean rate and detailed patterns of regional variations. The global mean rate is well studied, closely linked to global energy and water cycles, while regional patterns are influenced by a complex mix of internal climate dynamics and external factors like greenhouse gases and aerosols. Yet, a synthesis of these regional patterns using a comprehensive diagnostic approach has been lacking. Our research addresses this gap by integrating oceanic and atmospheric observations with large ensembles of state-of-the-art global climate models. This approach sheds new light upon the mechanisms behind basin-scale sea level patterns worldwide. A key finding is the dominant influence of wind forcing, particularly Ekman and Sverdrup dynamics, in shaping sea level changes from the tropics to higher latitudes. We find that the pattern of sea level rise since 1993 is primarily driven by wind-induced changes in ocean circulation, which can affect sea surface height through ocean mass and heat distribution. Interestingly, these wind-driven changes are not just products of internal climate variability; most of the observed patterns are recovered by global climate model projections driven by historical anthropogenic forcings, and single-forcing experiments provide further insight into which forcings are responsible for various features in the satellite altimetry record. Understanding the drivers of regional sea level rise, including differentiating anthropogenic signals from natural variability, is essential for effectively adapting to climate change impacts on global infrastructure and society.</p>\",\"PeriodicalId\":54340,\"journal\":{\"name\":\"Journal of Geophysical Research-Oceans\",\"volume\":\"130 6\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Geophysical Research-Oceans\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2024JC022100\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OCEANOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research-Oceans","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024JC022100","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
引用次数: 0

摘要

自1993年以来,卫星高度计一直在绘制全球海平面变化图,揭示了全球平均速率和区域变化的详细模式。全球平均速率已得到充分研究,与全球能源和水循环密切相关,而区域模式则受到内部气候动力学和温室气体和气溶胶等外部因素的复杂组合的影响。然而,一直缺乏使用综合诊断方法综合这些区域模式的方法。我们的研究通过将海洋和大气观测与最先进的全球气候模式的大集合相结合来解决这一差距。这种方法揭示了全球海盆尺度海平面模式背后的机制。一个关键的发现是风的力量,特别是埃克曼和斯维德鲁普动力学,在塑造从热带到高纬度的海平面变化方面的主导影响。研究发现,1993年以来的海平面上升模式主要是由风引起的海洋环流变化驱动的,这种变化可以通过海洋质量和热量分布影响海面高度。有趣的是,这些风驱动的变化不仅仅是内部气候变化的产物;大多数观测到的模式都是由历史上人为强迫驱动的全球气候模式预估恢复的,而单次强迫实验可以进一步了解哪些强迫是造成卫星测高记录中各种特征的原因。了解区域海平面上升的驱动因素,包括区分人为信号和自然变率,对于有效适应气候变化对全球基础设施和社会的影响至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnosing Regional Sea Level Change Over the Altimeter Era

Since 1993, satellite altimeters have been mapping sea level changes globally, revealing both the global mean rate and detailed patterns of regional variations. The global mean rate is well studied, closely linked to global energy and water cycles, while regional patterns are influenced by a complex mix of internal climate dynamics and external factors like greenhouse gases and aerosols. Yet, a synthesis of these regional patterns using a comprehensive diagnostic approach has been lacking. Our research addresses this gap by integrating oceanic and atmospheric observations with large ensembles of state-of-the-art global climate models. This approach sheds new light upon the mechanisms behind basin-scale sea level patterns worldwide. A key finding is the dominant influence of wind forcing, particularly Ekman and Sverdrup dynamics, in shaping sea level changes from the tropics to higher latitudes. We find that the pattern of sea level rise since 1993 is primarily driven by wind-induced changes in ocean circulation, which can affect sea surface height through ocean mass and heat distribution. Interestingly, these wind-driven changes are not just products of internal climate variability; most of the observed patterns are recovered by global climate model projections driven by historical anthropogenic forcings, and single-forcing experiments provide further insight into which forcings are responsible for various features in the satellite altimetry record. Understanding the drivers of regional sea level rise, including differentiating anthropogenic signals from natural variability, is essential for effectively adapting to climate change impacts on global infrastructure and society.

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
Journal of Geophysical Research-Oceans
Journal of Geophysical Research-Oceans Earth and Planetary Sciences-Oceanography
CiteScore
7.00
自引率
13.90%
发文量
429
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信