Application of a degree-day model to reconstruct Pleistocene glacial climates
There is empirical evidence of a nonlinear relation between annual precipitation, or accumulation, and summer mean temperature at the equilibrium line altitude (ELA) on glaciers around the world. The degree-day model gives a similar relation between accumulation and summer temperature, although inst...
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Online Access: | https://research.manchester.ac.uk/en/publications/412a9f91-bac5-41c4-ab6a-6873e07186ae https://doi.org/10.1016/j.yqres.2007.10.008 https://pure.manchester.ac.uk/ws/files/24162133/POST-PEER-REVIEW-PUBLISHERS-DOCUMENT.PDF |
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ftumanchesterpub:oai:pure.atira.dk:publications/412a9f91-bac5-41c4-ab6a-6873e07186ae 2024-06-23T07:56:08+00:00 Application of a degree-day model to reconstruct Pleistocene glacial climates Hughes, Philip D. Braithwaite, Roger J. 2008-01 application/octet-stream https://research.manchester.ac.uk/en/publications/412a9f91-bac5-41c4-ab6a-6873e07186ae https://doi.org/10.1016/j.yqres.2007.10.008 https://pure.manchester.ac.uk/ws/files/24162133/POST-PEER-REVIEW-PUBLISHERS-DOCUMENT.PDF eng eng https://research.manchester.ac.uk/en/publications/412a9f91-bac5-41c4-ab6a-6873e07186ae info:eu-repo/semantics/openAccess Hughes , P D & Braithwaite , R J 2008 , ' Application of a degree-day model to reconstruct Pleistocene glacial climates ' , Quaternary Research , vol. 69 , no. 1 , pp. 110-116 . https://doi.org/10.1016/j.yqres.2007.10.008 Degree-day model Glaciation Greece Palaeoclimate article 2008 ftumanchesterpub https://doi.org/10.1016/j.yqres.2007.10.008 2024-06-04T00:28:10Z There is empirical evidence of a nonlinear relation between annual precipitation, or accumulation, and summer mean temperature at the equilibrium line altitude (ELA) on glaciers around the world. The degree-day model gives a similar relation between accumulation and summer temperature, although instead of a single universal curve there is a family of curves depending upon the annual temperature range. Furthermore, the degree-day model also gives nonlinear relations between accumulation and annual mean temperature. Thus, estimations of accumulation can be made from both summer and annual temperatures at the ELA of former reconstructed glaciers, such as those in Greece. This is particularly useful since these climatic variables have major implications for biological proxies, such as vegetation history indicated in the pollen record, and for periglacial proxies, such as permafrost distributions indicated in the geomorphological record. The close relationship between glaciers and climate provides one of the most precise methods for reconstructing former climates and offers considerable potential for resolving our understanding of Pleistocene cold-stage climates. © 2007 University of Washington. Article in Journal/Newspaper permafrost The University of Manchester: Research Explorer Ela ENVELOPE(9.642,9.642,63.170,63.170) Quaternary Research 69 1 110 116 |
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Open Polar |
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The University of Manchester: Research Explorer |
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ftumanchesterpub |
language |
English |
topic |
Degree-day model Glaciation Greece Palaeoclimate |
spellingShingle |
Degree-day model Glaciation Greece Palaeoclimate Hughes, Philip D. Braithwaite, Roger J. Application of a degree-day model to reconstruct Pleistocene glacial climates |
topic_facet |
Degree-day model Glaciation Greece Palaeoclimate |
description |
There is empirical evidence of a nonlinear relation between annual precipitation, or accumulation, and summer mean temperature at the equilibrium line altitude (ELA) on glaciers around the world. The degree-day model gives a similar relation between accumulation and summer temperature, although instead of a single universal curve there is a family of curves depending upon the annual temperature range. Furthermore, the degree-day model also gives nonlinear relations between accumulation and annual mean temperature. Thus, estimations of accumulation can be made from both summer and annual temperatures at the ELA of former reconstructed glaciers, such as those in Greece. This is particularly useful since these climatic variables have major implications for biological proxies, such as vegetation history indicated in the pollen record, and for periglacial proxies, such as permafrost distributions indicated in the geomorphological record. The close relationship between glaciers and climate provides one of the most precise methods for reconstructing former climates and offers considerable potential for resolving our understanding of Pleistocene cold-stage climates. © 2007 University of Washington. |
format |
Article in Journal/Newspaper |
author |
Hughes, Philip D. Braithwaite, Roger J. |
author_facet |
Hughes, Philip D. Braithwaite, Roger J. |
author_sort |
Hughes, Philip D. |
title |
Application of a degree-day model to reconstruct Pleistocene glacial climates |
title_short |
Application of a degree-day model to reconstruct Pleistocene glacial climates |
title_full |
Application of a degree-day model to reconstruct Pleistocene glacial climates |
title_fullStr |
Application of a degree-day model to reconstruct Pleistocene glacial climates |
title_full_unstemmed |
Application of a degree-day model to reconstruct Pleistocene glacial climates |
title_sort |
application of a degree-day model to reconstruct pleistocene glacial climates |
publishDate |
2008 |
url |
https://research.manchester.ac.uk/en/publications/412a9f91-bac5-41c4-ab6a-6873e07186ae https://doi.org/10.1016/j.yqres.2007.10.008 https://pure.manchester.ac.uk/ws/files/24162133/POST-PEER-REVIEW-PUBLISHERS-DOCUMENT.PDF |
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ENVELOPE(9.642,9.642,63.170,63.170) |
geographic |
Ela |
geographic_facet |
Ela |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Hughes , P D & Braithwaite , R J 2008 , ' Application of a degree-day model to reconstruct Pleistocene glacial climates ' , Quaternary Research , vol. 69 , no. 1 , pp. 110-116 . https://doi.org/10.1016/j.yqres.2007.10.008 |
op_relation |
https://research.manchester.ac.uk/en/publications/412a9f91-bac5-41c4-ab6a-6873e07186ae |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.yqres.2007.10.008 |
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Quaternary Research |
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69 |
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110 |
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116 |
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