Sensitivity of proxies on non-linear interactions in the climate system
Recent climate change is affecting the earth system to an unprecedented extent and intensity and has the potential to cause severe ecological and socioeconomic consequences. To understand natural and anthropogenic induced processes, feedbacks, trends, and dynamics in the climate system, it is also e...
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ftpubmed:oai:pubmedcentral.nih.gov:4685260 2023-05-15T17:33:20+02:00 Sensitivity of proxies on non-linear interactions in the climate system Schultz, Johannes A. Beck, Christoph Menz, Gunter Neuwirth, Burkhard Ohlwein, Christian Philipp, Andreas 2015-12-21 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685260/ http://www.ncbi.nlm.nih.gov/pubmed/26686001 https://doi.org/10.1038/srep18560 en eng Nature Publishing Group http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685260/ http://www.ncbi.nlm.nih.gov/pubmed/26686001 http://dx.doi.org/10.1038/srep18560 Copyright © 2015, Macmillan Publishers Limited 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/ CC-BY Article Text 2015 ftpubmed https://doi.org/10.1038/srep18560 2016-01-03T01:32:13Z Recent climate change is affecting the earth system to an unprecedented extent and intensity and has the potential to cause severe ecological and socioeconomic consequences. To understand natural and anthropogenic induced processes, feedbacks, trends, and dynamics in the climate system, it is also essential to consider longer timescales. In this context, annually resolved tree-ring data are often used to reconstruct past temperature or precipitation variability as well as atmospheric or oceanic indices such as the North Atlantic Oscillation (NAO) or the Atlantic Multidecadal Oscillation (AMO). The aim of this study is to assess weather-type sensitivity across the Northern Atlantic region based on two tree-ring width networks. Our results indicate that nonstationarities in superordinate space and time scales of the climate system (here synoptic- to global scale, NAO, AMO) can affect the climate sensitivity of tree-rings in subordinate levels of the system (here meso- to synoptic scale, weather-types). This scale bias effect has the capability to impact even large multiproxy networks and the ability of these networks to provide information about past climate conditions. To avoid scale biases in climate reconstructions, interdependencies between the different scales in the climate system must be considered, especially internal ocean/atmosphere dynamics. Text North Atlantic North Atlantic oscillation PubMed Central (PMC) Scientific Reports 5 1 |
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Article Schultz, Johannes A. Beck, Christoph Menz, Gunter Neuwirth, Burkhard Ohlwein, Christian Philipp, Andreas Sensitivity of proxies on non-linear interactions in the climate system |
topic_facet |
Article |
description |
Recent climate change is affecting the earth system to an unprecedented extent and intensity and has the potential to cause severe ecological and socioeconomic consequences. To understand natural and anthropogenic induced processes, feedbacks, trends, and dynamics in the climate system, it is also essential to consider longer timescales. In this context, annually resolved tree-ring data are often used to reconstruct past temperature or precipitation variability as well as atmospheric or oceanic indices such as the North Atlantic Oscillation (NAO) or the Atlantic Multidecadal Oscillation (AMO). The aim of this study is to assess weather-type sensitivity across the Northern Atlantic region based on two tree-ring width networks. Our results indicate that nonstationarities in superordinate space and time scales of the climate system (here synoptic- to global scale, NAO, AMO) can affect the climate sensitivity of tree-rings in subordinate levels of the system (here meso- to synoptic scale, weather-types). This scale bias effect has the capability to impact even large multiproxy networks and the ability of these networks to provide information about past climate conditions. To avoid scale biases in climate reconstructions, interdependencies between the different scales in the climate system must be considered, especially internal ocean/atmosphere dynamics. |
format |
Text |
author |
Schultz, Johannes A. Beck, Christoph Menz, Gunter Neuwirth, Burkhard Ohlwein, Christian Philipp, Andreas |
author_facet |
Schultz, Johannes A. Beck, Christoph Menz, Gunter Neuwirth, Burkhard Ohlwein, Christian Philipp, Andreas |
author_sort |
Schultz, Johannes A. |
title |
Sensitivity of proxies on non-linear interactions in the climate system |
title_short |
Sensitivity of proxies on non-linear interactions in the climate system |
title_full |
Sensitivity of proxies on non-linear interactions in the climate system |
title_fullStr |
Sensitivity of proxies on non-linear interactions in the climate system |
title_full_unstemmed |
Sensitivity of proxies on non-linear interactions in the climate system |
title_sort |
sensitivity of proxies on non-linear interactions in the climate system |
publisher |
Nature Publishing Group |
publishDate |
2015 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685260/ http://www.ncbi.nlm.nih.gov/pubmed/26686001 https://doi.org/10.1038/srep18560 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685260/ http://www.ncbi.nlm.nih.gov/pubmed/26686001 http://dx.doi.org/10.1038/srep18560 |
op_rights |
Copyright © 2015, Macmillan Publishers Limited 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/ |
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CC-BY |
op_doi |
https://doi.org/10.1038/srep18560 |
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Scientific Reports |
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