Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia

In this article, the first spatially resolved and millennium-length summer (June–August) temperature reconstruction over the Arctic and sub-Arctic domain (north of 60° N) is presented. It is based on a set of 44 annually dated temperature-sensitive proxy archives of various types from the revised PA...

Full description

Bibliographic Details
Published in:Climate of the Past
Main Authors: Werner, Johannes P., Divine, Dmitry V., Charpentier Ljungqvist, Fredrik, Nilsen, Tine, Francus, Pierre
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2018
Subjects:
Online Access:https://doi.org/10.5194/cp-14-527-2018
https://noa.gwlb.de/receive/cop_mods_00006687
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006644/cp-14-527-2018.pdf
https://cp.copernicus.org/articles/14/527/2018/cp-14-527-2018.pdf
id ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00006687
record_format openpolar
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Werner, Johannes P.
Divine, Dmitry V.
Charpentier Ljungqvist, Fredrik
Nilsen, Tine
Francus, Pierre
Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia
topic_facet article
Verlagsveröffentlichung
description In this article, the first spatially resolved and millennium-length summer (June–August) temperature reconstruction over the Arctic and sub-Arctic domain (north of 60° N) is presented. It is based on a set of 44 annually dated temperature-sensitive proxy archives of various types from the revised PAGES2k database supplemented with six new recently updated proxy records. As a major advance, an extension of the Bayesian BARCAST climate field (CF) reconstruction technique provides a means to treat climate archives with dating uncertainties. This results not only in a more precise reconstruction but additionally enables joint probabilistic constraints to be imposed on the chronologies of the used archives. The new seasonal CF reconstruction for the Arctic region can be shown to be skilful for the majority of the terrestrial nodes. The decrease in the proxy data density back in time, however, limits the analyses in the spatial domain to the period after 750 CE, while the spatially averaged reconstruction covers the entire time interval of 1–2002 CE. The centennial to millennial evolution of the reconstructed temperature is in good agreement with a general pattern that was inferred in recent studies for the Arctic and its subregions. In particular, the reconstruction shows a pronounced Medieval Climate Anomaly (MCA; here ca. 920–1060 CE), which was characterised by a sequence of extremely warm decades over the whole domain. The medieval warming was followed by a gradual cooling into the Little Ice Age (LIA), with 1766–1865 CE as the longest centennial-scale cold period, culminating around 1811–1820 CE for most of the target region. In total over 600 independent realisations of the temperature CF were generated. As showcased for local and regional trends and temperature anomalies, operating in a probabilistic framework directly results in comprehensive uncertainty estimates, even for complex analyses. For the presented multi-scale trend analysis, for example, the spread in different paths across the reconstruction ensemble prevents a robust analysis of features at timescales shorter than ca. 30 years. For the spatial reconstruction, the benefit of using the spatially resolved reconstruction ensemble is demonstrated by focusing on the regional expression of the recent warming and the MCA. While our analysis shows that the peak MCA summer temperatures were as high as in the late 20th and early 21st centuries, the spatial coherence of extreme years over the last decades of the reconstruction (1980s onwards) seems unprecedented at least back until 750 CE. However, statistical testing could not provide conclusive support of the contemporary warming to exceed the peak of the MCA in terms of the pan-Arctic mean summer temperatures: the reconstruction cannot be extended reliably past 2002 CE due to lack of proxy data and thus the most recent warming is not captured.
format Article in Journal/Newspaper
author Werner, Johannes P.
Divine, Dmitry V.
Charpentier Ljungqvist, Fredrik
Nilsen, Tine
Francus, Pierre
author_facet Werner, Johannes P.
Divine, Dmitry V.
Charpentier Ljungqvist, Fredrik
Nilsen, Tine
Francus, Pierre
author_sort Werner, Johannes P.
title Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia
title_short Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia
title_full Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia
title_fullStr Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia
title_full_unstemmed Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia
title_sort spatio-temporal variability of arctic summer temperatures over the past 2 millennia
publisher Copernicus Publications
publishDate 2018
url https://doi.org/10.5194/cp-14-527-2018
https://noa.gwlb.de/receive/cop_mods_00006687
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006644/cp-14-527-2018.pdf
https://cp.copernicus.org/articles/14/527/2018/cp-14-527-2018.pdf
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation Climate of the Past -- http://www.copernicus.org/EGU/cp/cp/published_papers.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2217985 -- 1814-9332
https://doi.org/10.5194/cp-14-527-2018
https://noa.gwlb.de/receive/cop_mods_00006687
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006644/cp-14-527-2018.pdf
https://cp.copernicus.org/articles/14/527/2018/cp-14-527-2018.pdf
op_rights uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/cp-14-527-2018
container_title Climate of the Past
container_volume 14
container_issue 4
container_start_page 527
op_container_end_page 557
_version_ 1766323206815219712
spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00006687 2023-05-15T14:52:05+02:00 Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia Werner, Johannes P. Divine, Dmitry V. Charpentier Ljungqvist, Fredrik Nilsen, Tine Francus, Pierre 2018-04 electronic https://doi.org/10.5194/cp-14-527-2018 https://noa.gwlb.de/receive/cop_mods_00006687 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006644/cp-14-527-2018.pdf https://cp.copernicus.org/articles/14/527/2018/cp-14-527-2018.pdf eng eng Copernicus Publications Climate of the Past -- http://www.copernicus.org/EGU/cp/cp/published_papers.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2217985 -- 1814-9332 https://doi.org/10.5194/cp-14-527-2018 https://noa.gwlb.de/receive/cop_mods_00006687 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006644/cp-14-527-2018.pdf https://cp.copernicus.org/articles/14/527/2018/cp-14-527-2018.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2018 ftnonlinearchiv https://doi.org/10.5194/cp-14-527-2018 2022-02-08T22:58:52Z In this article, the first spatially resolved and millennium-length summer (June–August) temperature reconstruction over the Arctic and sub-Arctic domain (north of 60° N) is presented. It is based on a set of 44 annually dated temperature-sensitive proxy archives of various types from the revised PAGES2k database supplemented with six new recently updated proxy records. As a major advance, an extension of the Bayesian BARCAST climate field (CF) reconstruction technique provides a means to treat climate archives with dating uncertainties. This results not only in a more precise reconstruction but additionally enables joint probabilistic constraints to be imposed on the chronologies of the used archives. The new seasonal CF reconstruction for the Arctic region can be shown to be skilful for the majority of the terrestrial nodes. The decrease in the proxy data density back in time, however, limits the analyses in the spatial domain to the period after 750 CE, while the spatially averaged reconstruction covers the entire time interval of 1–2002 CE. The centennial to millennial evolution of the reconstructed temperature is in good agreement with a general pattern that was inferred in recent studies for the Arctic and its subregions. In particular, the reconstruction shows a pronounced Medieval Climate Anomaly (MCA; here ca. 920–1060 CE), which was characterised by a sequence of extremely warm decades over the whole domain. The medieval warming was followed by a gradual cooling into the Little Ice Age (LIA), with 1766–1865 CE as the longest centennial-scale cold period, culminating around 1811–1820 CE for most of the target region. In total over 600 independent realisations of the temperature CF were generated. As showcased for local and regional trends and temperature anomalies, operating in a probabilistic framework directly results in comprehensive uncertainty estimates, even for complex analyses. For the presented multi-scale trend analysis, for example, the spread in different paths across the reconstruction ensemble prevents a robust analysis of features at timescales shorter than ca. 30 years. For the spatial reconstruction, the benefit of using the spatially resolved reconstruction ensemble is demonstrated by focusing on the regional expression of the recent warming and the MCA. While our analysis shows that the peak MCA summer temperatures were as high as in the late 20th and early 21st centuries, the spatial coherence of extreme years over the last decades of the reconstruction (1980s onwards) seems unprecedented at least back until 750 CE. However, statistical testing could not provide conclusive support of the contemporary warming to exceed the peak of the MCA in terms of the pan-Arctic mean summer temperatures: the reconstruction cannot be extended reliably past 2002 CE due to lack of proxy data and thus the most recent warming is not captured. Article in Journal/Newspaper Arctic Niedersächsisches Online-Archiv NOA Arctic Climate of the Past 14 4 527 557