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Spatial Patterns of Sea Level Variability Associated with Natural Internal Climate Modes

Sea level rise (SLR) can exert significant stress on highly populated coastal societies and low-lying island countries around the world. Because of this, there is huge societal demand for improved decadal predictions and future projections of SLR, particularly on a local scale along coastlines. Regi...

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Autores principales: Han, Weiqing, Meehl, Gerald A., Stammer, Detlef, Hu, Aixue, Hamlington, Benjamin, Kenigson, Jessica, Palanisamy, Hindumathi, Thompson, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115065/
https://www.ncbi.nlm.nih.gov/pubmed/32269400
http://dx.doi.org/10.1007/s10712-016-9386-y
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author Han, Weiqing
Meehl, Gerald A.
Stammer, Detlef
Hu, Aixue
Hamlington, Benjamin
Kenigson, Jessica
Palanisamy, Hindumathi
Thompson, Philip
author_facet Han, Weiqing
Meehl, Gerald A.
Stammer, Detlef
Hu, Aixue
Hamlington, Benjamin
Kenigson, Jessica
Palanisamy, Hindumathi
Thompson, Philip
author_sort Han, Weiqing
collection PubMed
description Sea level rise (SLR) can exert significant stress on highly populated coastal societies and low-lying island countries around the world. Because of this, there is huge societal demand for improved decadal predictions and future projections of SLR, particularly on a local scale along coastlines. Regionally, sea level variations can deviate considerably from the global mean due to various geophysical processes. These include changes of ocean circulations, which partially can be attributed to natural, internal modes of variability in the complex Earth’s climate system. Anthropogenic influence may also contribute to regional sea level variations. Separating the effects of natural climate modes and anthropogenic forcing, however, remains a challenge and requires identification of the imprint of specific climate modes in observed sea level change patterns. In this paper, we review our current state of knowledge about spatial patterns of sea level variability associated with natural climate modes on interannual-to-multidecadal timescales, with particular focus on decadal-to-multidecadal variability. Relevant climate modes and our current state of understanding their associated sea level patterns and driving mechanisms are elaborated separately for the Pacific, the Indian, the Atlantic, and the Arctic and Southern Oceans. We also discuss the issues, challenges and future outlooks for understanding the regional sea level patterns associated with climate modes. Effects of these internal modes have to be taken into account in order to achieve more reliable near-term predictions and future projections of regional SLR.
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spelling pubmed-71150652020-04-06 Spatial Patterns of Sea Level Variability Associated with Natural Internal Climate Modes Han, Weiqing Meehl, Gerald A. Stammer, Detlef Hu, Aixue Hamlington, Benjamin Kenigson, Jessica Palanisamy, Hindumathi Thompson, Philip Surv Geophys Article Sea level rise (SLR) can exert significant stress on highly populated coastal societies and low-lying island countries around the world. Because of this, there is huge societal demand for improved decadal predictions and future projections of SLR, particularly on a local scale along coastlines. Regionally, sea level variations can deviate considerably from the global mean due to various geophysical processes. These include changes of ocean circulations, which partially can be attributed to natural, internal modes of variability in the complex Earth’s climate system. Anthropogenic influence may also contribute to regional sea level variations. Separating the effects of natural climate modes and anthropogenic forcing, however, remains a challenge and requires identification of the imprint of specific climate modes in observed sea level change patterns. In this paper, we review our current state of knowledge about spatial patterns of sea level variability associated with natural climate modes on interannual-to-multidecadal timescales, with particular focus on decadal-to-multidecadal variability. Relevant climate modes and our current state of understanding their associated sea level patterns and driving mechanisms are elaborated separately for the Pacific, the Indian, the Atlantic, and the Arctic and Southern Oceans. We also discuss the issues, challenges and future outlooks for understanding the regional sea level patterns associated with climate modes. Effects of these internal modes have to be taken into account in order to achieve more reliable near-term predictions and future projections of regional SLR. Springer Netherlands 2016-10-04 2017 /pmc/articles/PMC7115065/ /pubmed/32269400 http://dx.doi.org/10.1007/s10712-016-9386-y Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Han, Weiqing
Meehl, Gerald A.
Stammer, Detlef
Hu, Aixue
Hamlington, Benjamin
Kenigson, Jessica
Palanisamy, Hindumathi
Thompson, Philip
Spatial Patterns of Sea Level Variability Associated with Natural Internal Climate Modes
title Spatial Patterns of Sea Level Variability Associated with Natural Internal Climate Modes
title_full Spatial Patterns of Sea Level Variability Associated with Natural Internal Climate Modes
title_fullStr Spatial Patterns of Sea Level Variability Associated with Natural Internal Climate Modes
title_full_unstemmed Spatial Patterns of Sea Level Variability Associated with Natural Internal Climate Modes
title_short Spatial Patterns of Sea Level Variability Associated with Natural Internal Climate Modes
title_sort spatial patterns of sea level variability associated with natural internal climate modes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115065/
https://www.ncbi.nlm.nih.gov/pubmed/32269400
http://dx.doi.org/10.1007/s10712-016-9386-y
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