Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere
Abstract The spatiotemporal variations of the climate of the last millennium provide the context for understanding the recent climate. However, there are few 1000‐year‐long spatiotemporally continuous climate reconstructions at hemispheric to global scales. Here, a millennial, spatiotemporally conti...
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crwiley:10.1002/joc.7528 2023-10-29T02:34:44+01:00 Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere Fang, Miao Zheng, Jingyun Wang, Jianglin Zhu, Haifeng Zhang, Xuezhen National Natural Science Foundation of China 2022 http://dx.doi.org/10.1002/joc.7528 https://onlinelibrary.wiley.com/doi/pdf/10.1002/joc.7528 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/joc.7528 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.7528 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 42, issue 10, page 5218-5231 ISSN 0899-8418 1097-0088 Atmospheric Science journal-article 2022 crwiley https://doi.org/10.1002/joc.7528 2023-10-02T17:04:34Z Abstract The spatiotemporal variations of the climate of the last millennium provide the context for understanding the recent climate. However, there are few 1000‐year‐long spatiotemporally continuous climate reconstructions at hemispheric to global scales. Here, a millennial, spatiotemporally continuous and annually resolved air temperature dataset for the Northern Hemisphere (NH) was reconstructed using paleoclimate data assimilation (PDA) approach based on an expanded tree ring proxy dataset and artificial neural network‐based proxy system models. Verifications show the PDA‐based reconstruction agrees well with instrumental temperature, previous proxy‐based reconstructions and the Last Millennium Climate Reanalysis version 2 (LMRv2) dataset in space and time domains. Since the PDA‐based reconstruction is spatiotemporally continuous fields without missing value over the whole NH, which is a distinct advantage of the PDA‐based reconstruction over other proxy‐based NH‐averaged temperature reconstructions, we focussed on analysing the spatial variations of the NH temperature during the last millennium, for example, the primary modes of temperature variabilities and the spatial variabilities of the NH temperature in three typical climatic epochs of the millennium. Results show that the first‐leading mode (explained variance of 72.50%) of the NH temperature variability is a spatially consistent mode, while the second‐leading mode (explained variance of 10.60%) exhibits a different pattern that is different from the first‐leading empirical orthogonal function mode, particularly in the Arctic, which shows a dipole structure anomaly. The 20th century was the warmest, with 94.17% of the NH displaying positive anomalies. The 11th century was the second warmest century in the record, with 70.26% of the NH showing a positive anomaly. The 19th century was the coldest, with negative anomalies covering 86.97% of the NH. Northwest North America and the Northern Europe‐Barents Sea are two distinctly anomalous centres during ... Article in Journal/Newspaper Arctic Barents Sea Wiley Online Library (via Crossref) International Journal of Climatology 42 10 5218 5231 |
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Open Polar |
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Wiley Online Library (via Crossref) |
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crwiley |
language |
English |
topic |
Atmospheric Science |
spellingShingle |
Atmospheric Science Fang, Miao Zheng, Jingyun Wang, Jianglin Zhu, Haifeng Zhang, Xuezhen Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere |
topic_facet |
Atmospheric Science |
description |
Abstract The spatiotemporal variations of the climate of the last millennium provide the context for understanding the recent climate. However, there are few 1000‐year‐long spatiotemporally continuous climate reconstructions at hemispheric to global scales. Here, a millennial, spatiotemporally continuous and annually resolved air temperature dataset for the Northern Hemisphere (NH) was reconstructed using paleoclimate data assimilation (PDA) approach based on an expanded tree ring proxy dataset and artificial neural network‐based proxy system models. Verifications show the PDA‐based reconstruction agrees well with instrumental temperature, previous proxy‐based reconstructions and the Last Millennium Climate Reanalysis version 2 (LMRv2) dataset in space and time domains. Since the PDA‐based reconstruction is spatiotemporally continuous fields without missing value over the whole NH, which is a distinct advantage of the PDA‐based reconstruction over other proxy‐based NH‐averaged temperature reconstructions, we focussed on analysing the spatial variations of the NH temperature during the last millennium, for example, the primary modes of temperature variabilities and the spatial variabilities of the NH temperature in three typical climatic epochs of the millennium. Results show that the first‐leading mode (explained variance of 72.50%) of the NH temperature variability is a spatially consistent mode, while the second‐leading mode (explained variance of 10.60%) exhibits a different pattern that is different from the first‐leading empirical orthogonal function mode, particularly in the Arctic, which shows a dipole structure anomaly. The 20th century was the warmest, with 94.17% of the NH displaying positive anomalies. The 11th century was the second warmest century in the record, with 70.26% of the NH showing a positive anomaly. The 19th century was the coldest, with negative anomalies covering 86.97% of the NH. Northwest North America and the Northern Europe‐Barents Sea are two distinctly anomalous centres during ... |
author2 |
National Natural Science Foundation of China |
format |
Article in Journal/Newspaper |
author |
Fang, Miao Zheng, Jingyun Wang, Jianglin Zhu, Haifeng Zhang, Xuezhen |
author_facet |
Fang, Miao Zheng, Jingyun Wang, Jianglin Zhu, Haifeng Zhang, Xuezhen |
author_sort |
Fang, Miao |
title |
Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere |
title_short |
Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere |
title_full |
Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere |
title_fullStr |
Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere |
title_full_unstemmed |
Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere |
title_sort |
assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the northern hemisphere |
publisher |
Wiley |
publishDate |
2022 |
url |
http://dx.doi.org/10.1002/joc.7528 https://onlinelibrary.wiley.com/doi/pdf/10.1002/joc.7528 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/joc.7528 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.7528 |
genre |
Arctic Barents Sea |
genre_facet |
Arctic Barents Sea |
op_source |
International Journal of Climatology volume 42, issue 10, page 5218-5231 ISSN 0899-8418 1097-0088 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/joc.7528 |
container_title |
International Journal of Climatology |
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42 |
container_issue |
10 |
container_start_page |
5218 |
op_container_end_page |
5231 |
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1781057440906739712 |