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Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass

The origin of the temperature divergence between Holocene proxy reconstructions and model simulations remains controversial, but it possibly results from potential biases in the seasonality of reconstructions or in the climate sensitivity of models. Here we present an extensive dataset of Holocene s...

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Autores principales: Zhang, Wenchao, Wu, Haibin, Cheng, Jun, Geng, Junyan, Li, Qin, Sun, Yong, Yu, Yanyan, Lu, Huayu, Guo, Zhengtang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464234/
https://www.ncbi.nlm.nih.gov/pubmed/36088463
http://dx.doi.org/10.1038/s41467-022-33107-0
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author Zhang, Wenchao
Wu, Haibin
Cheng, Jun
Geng, Junyan
Li, Qin
Sun, Yong
Yu, Yanyan
Lu, Huayu
Guo, Zhengtang
author_facet Zhang, Wenchao
Wu, Haibin
Cheng, Jun
Geng, Junyan
Li, Qin
Sun, Yong
Yu, Yanyan
Lu, Huayu
Guo, Zhengtang
author_sort Zhang, Wenchao
collection PubMed
description The origin of the temperature divergence between Holocene proxy reconstructions and model simulations remains controversial, but it possibly results from potential biases in the seasonality of reconstructions or in the climate sensitivity of models. Here we present an extensive dataset of Holocene seasonal temperatures reconstructed using 1310 pollen records covering the Northern Hemisphere landmass. Our results indicate that both summer and winter temperatures warmed from the early to mid-Holocene (~11–7 ka BP) and then cooled thereafter, but with significant spatial variability. Strong early Holocene warming trend occurred mainly in Europe, eastern North America and northern Asia, which can be generally captured by model simulations and is likely associated with the retreat of continental ice sheets. The subsequent cooling trend is pervasively recorded except for northern Asia and southeastern North America, which may reflect the cross-seasonal impact of the decreasing summer insolation through climatic feedbacks, but the cooling in winter season is not well reproduced by climate models. Our results challenge the proposal that seasonal biases in proxies are the main origin of model–data discrepancies and highlight the critical impact of insolation and associated feedbacks on temperature changes, which warrant closer attention in future climate modelling.
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spelling pubmed-94642342022-09-12 Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass Zhang, Wenchao Wu, Haibin Cheng, Jun Geng, Junyan Li, Qin Sun, Yong Yu, Yanyan Lu, Huayu Guo, Zhengtang Nat Commun Article The origin of the temperature divergence between Holocene proxy reconstructions and model simulations remains controversial, but it possibly results from potential biases in the seasonality of reconstructions or in the climate sensitivity of models. Here we present an extensive dataset of Holocene seasonal temperatures reconstructed using 1310 pollen records covering the Northern Hemisphere landmass. Our results indicate that both summer and winter temperatures warmed from the early to mid-Holocene (~11–7 ka BP) and then cooled thereafter, but with significant spatial variability. Strong early Holocene warming trend occurred mainly in Europe, eastern North America and northern Asia, which can be generally captured by model simulations and is likely associated with the retreat of continental ice sheets. The subsequent cooling trend is pervasively recorded except for northern Asia and southeastern North America, which may reflect the cross-seasonal impact of the decreasing summer insolation through climatic feedbacks, but the cooling in winter season is not well reproduced by climate models. Our results challenge the proposal that seasonal biases in proxies are the main origin of model–data discrepancies and highlight the critical impact of insolation and associated feedbacks on temperature changes, which warrant closer attention in future climate modelling. Nature Publishing Group UK 2022-09-10 /pmc/articles/PMC9464234/ /pubmed/36088463 http://dx.doi.org/10.1038/s41467-022-33107-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhang, Wenchao
Wu, Haibin
Cheng, Jun
Geng, Junyan
Li, Qin
Sun, Yong
Yu, Yanyan
Lu, Huayu
Guo, Zhengtang
Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass
title Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass
title_full Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass
title_fullStr Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass
title_full_unstemmed Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass
title_short Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass
title_sort holocene seasonal temperature evolution and spatial variability over the northern hemisphere landmass
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464234/
https://www.ncbi.nlm.nih.gov/pubmed/36088463
http://dx.doi.org/10.1038/s41467-022-33107-0
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