Shortwave forcing and feedbacks in Last Glacial Maximum and Mid-Holocene PMIP3 simulations

Simulations of the climates of the Last Glacial Maximum (LGM), 21 000 years ago, and of the Mid-Holocene (MH), 6000 years ago, allow an analysis of climate feedbacks in climate states that are radically different from today. The analyses of cloud and surface albedo feedbacks show that the shortwave...

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Published in:Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Main Authors: Braconnot, Pascale, Kageyama, Masa
Format: Article in Journal/Newspaper
Language:English
Published: The Royal Society 2015
Subjects:
Online Access:http://dx.doi.org/10.1098/rsta.2014.0424
https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2014.0424
https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2014.0424
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spelling crroyalsociety:10.1098/rsta.2014.0424 2024-06-02T08:14:19+00:00 Shortwave forcing and feedbacks in Last Glacial Maximum and Mid-Holocene PMIP3 simulations Braconnot, Pascale Kageyama, Masa 2015 http://dx.doi.org/10.1098/rsta.2014.0424 https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2014.0424 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2014.0424 en eng The Royal Society https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 373, issue 2054, page 20140424 ISSN 1364-503X 1471-2962 journal-article 2015 crroyalsociety https://doi.org/10.1098/rsta.2014.0424 2024-05-07T14:16:46Z Simulations of the climates of the Last Glacial Maximum (LGM), 21 000 years ago, and of the Mid-Holocene (MH), 6000 years ago, allow an analysis of climate feedbacks in climate states that are radically different from today. The analyses of cloud and surface albedo feedbacks show that the shortwave cloud feedback is a major driver of differences between model results. Similar behaviours appear when comparing the LGM and MH simulated changes, highlighting the fingerprint of model physics. Even though the different feedbacks show similarities between the different climate periods, the fact that their relative strength differs from one climate to the other prevents a direct comparison of past and future climate sensitivity. The land-surface feedback also shows large disparities among models even though they all produce positive sea-ice and snow feedbacks. Models have very different sensitivities when considering the vegetation feedback. This feedback has a regional pattern that differs significantly between models and depends on their level of complexity and model biases. Analyses of the MH climate in two versions of the IPSL model provide further indication on the possibilities to assess the role of model biases and model physics on simulated climate changes using past climates for which observations can be used to assess the model results. Article in Journal/Newspaper Sea ice The Royal Society Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373 2054 20140424
institution Open Polar
collection The Royal Society
op_collection_id crroyalsociety
language English
description Simulations of the climates of the Last Glacial Maximum (LGM), 21 000 years ago, and of the Mid-Holocene (MH), 6000 years ago, allow an analysis of climate feedbacks in climate states that are radically different from today. The analyses of cloud and surface albedo feedbacks show that the shortwave cloud feedback is a major driver of differences between model results. Similar behaviours appear when comparing the LGM and MH simulated changes, highlighting the fingerprint of model physics. Even though the different feedbacks show similarities between the different climate periods, the fact that their relative strength differs from one climate to the other prevents a direct comparison of past and future climate sensitivity. The land-surface feedback also shows large disparities among models even though they all produce positive sea-ice and snow feedbacks. Models have very different sensitivities when considering the vegetation feedback. This feedback has a regional pattern that differs significantly between models and depends on their level of complexity and model biases. Analyses of the MH climate in two versions of the IPSL model provide further indication on the possibilities to assess the role of model biases and model physics on simulated climate changes using past climates for which observations can be used to assess the model results.
format Article in Journal/Newspaper
author Braconnot, Pascale
Kageyama, Masa
spellingShingle Braconnot, Pascale
Kageyama, Masa
Shortwave forcing and feedbacks in Last Glacial Maximum and Mid-Holocene PMIP3 simulations
author_facet Braconnot, Pascale
Kageyama, Masa
author_sort Braconnot, Pascale
title Shortwave forcing and feedbacks in Last Glacial Maximum and Mid-Holocene PMIP3 simulations
title_short Shortwave forcing and feedbacks in Last Glacial Maximum and Mid-Holocene PMIP3 simulations
title_full Shortwave forcing and feedbacks in Last Glacial Maximum and Mid-Holocene PMIP3 simulations
title_fullStr Shortwave forcing and feedbacks in Last Glacial Maximum and Mid-Holocene PMIP3 simulations
title_full_unstemmed Shortwave forcing and feedbacks in Last Glacial Maximum and Mid-Holocene PMIP3 simulations
title_sort shortwave forcing and feedbacks in last glacial maximum and mid-holocene pmip3 simulations
publisher The Royal Society
publishDate 2015
url http://dx.doi.org/10.1098/rsta.2014.0424
https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2014.0424
https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2014.0424
genre Sea ice
genre_facet Sea ice
op_source Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
volume 373, issue 2054, page 20140424
ISSN 1364-503X 1471-2962
op_rights https://royalsociety.org/journals/ethics-policies/data-sharing-mining/
op_doi https://doi.org/10.1098/rsta.2014.0424
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