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Detecting anthropogenic footprints in sea level rise

While there is scientific consensus that global and local mean sea level (GMSL and LMSL) has risen since the late nineteenth century, the relative contribution of natural and anthropogenic forcing remains unclear. Here we provide a probabilistic upper range of long-term persistent natural GMSL/LMSL...

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Autores principales: Dangendorf, Sönke, Marcos, Marta, Müller, Alfred, Zorita, Eduardo, Riva, Riccardo, Berk, Kevin, Jensen, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Pub. Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532851/
https://www.ncbi.nlm.nih.gov/pubmed/26220773
http://dx.doi.org/10.1038/ncomms8849
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author Dangendorf, Sönke
Marcos, Marta
Müller, Alfred
Zorita, Eduardo
Riva, Riccardo
Berk, Kevin
Jensen, Jürgen
author_facet Dangendorf, Sönke
Marcos, Marta
Müller, Alfred
Zorita, Eduardo
Riva, Riccardo
Berk, Kevin
Jensen, Jürgen
author_sort Dangendorf, Sönke
collection PubMed
description While there is scientific consensus that global and local mean sea level (GMSL and LMSL) has risen since the late nineteenth century, the relative contribution of natural and anthropogenic forcing remains unclear. Here we provide a probabilistic upper range of long-term persistent natural GMSL/LMSL variability (P=0.99), which in turn, determines the minimum/maximum anthropogenic contribution since 1900. To account for different spectral characteristics of various contributing processes, we separate LMSL into two components: a slowly varying volumetric component and a more rapidly changing atmospheric component. We find that the persistence of slow natural volumetric changes is underestimated in records where transient atmospheric processes dominate the spectrum. This leads to a local underestimation of possible natural trends of up to ∼1 mm per year erroneously enhancing the significance of anthropogenic footprints. The GMSL, however, remains unaffected by such biases. On the basis of a model assessment of the separate components, we conclude that it is virtually certain (P=0.99) that at least 45% of the observed increase in GMSL is of anthropogenic origin.
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spelling pubmed-45328512015-08-31 Detecting anthropogenic footprints in sea level rise Dangendorf, Sönke Marcos, Marta Müller, Alfred Zorita, Eduardo Riva, Riccardo Berk, Kevin Jensen, Jürgen Nat Commun Article While there is scientific consensus that global and local mean sea level (GMSL and LMSL) has risen since the late nineteenth century, the relative contribution of natural and anthropogenic forcing remains unclear. Here we provide a probabilistic upper range of long-term persistent natural GMSL/LMSL variability (P=0.99), which in turn, determines the minimum/maximum anthropogenic contribution since 1900. To account for different spectral characteristics of various contributing processes, we separate LMSL into two components: a slowly varying volumetric component and a more rapidly changing atmospheric component. We find that the persistence of slow natural volumetric changes is underestimated in records where transient atmospheric processes dominate the spectrum. This leads to a local underestimation of possible natural trends of up to ∼1 mm per year erroneously enhancing the significance of anthropogenic footprints. The GMSL, however, remains unaffected by such biases. On the basis of a model assessment of the separate components, we conclude that it is virtually certain (P=0.99) that at least 45% of the observed increase in GMSL is of anthropogenic origin. Nature Pub. Group 2015-07-29 /pmc/articles/PMC4532851/ /pubmed/26220773 http://dx.doi.org/10.1038/ncomms8849 Text en Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Dangendorf, Sönke
Marcos, Marta
Müller, Alfred
Zorita, Eduardo
Riva, Riccardo
Berk, Kevin
Jensen, Jürgen
Detecting anthropogenic footprints in sea level rise
title Detecting anthropogenic footprints in sea level rise
title_full Detecting anthropogenic footprints in sea level rise
title_fullStr Detecting anthropogenic footprints in sea level rise
title_full_unstemmed Detecting anthropogenic footprints in sea level rise
title_short Detecting anthropogenic footprints in sea level rise
title_sort detecting anthropogenic footprints in sea level rise
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532851/
https://www.ncbi.nlm.nih.gov/pubmed/26220773
http://dx.doi.org/10.1038/ncomms8849
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