Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures

Confidence in dynamical and statistical hurricane prediction is rooted in the skillful reproduction of hurricane frequency using sea surface temperature (SST) patterns, but an ensemble of high-resolution atmospheric simulation extending to the 1880s indicates model-data disagreements that exceed tho...

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Published in:Science Advances
Main Authors: Chan, Duo, Vecchi, Gabriel A., Yang, Wenchang, Huybers, Peter
Format: Text
Language:English
Published: American Association for the Advancement of Science 2021
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232916/
http://www.ncbi.nlm.nih.gov/pubmed/34172449
https://doi.org/10.1126/sciadv.abg6931
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spelling ftpubmed:oai:pubmedcentral.nih.gov:8232916 2023-05-15T17:31:50+02:00 Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures Chan, Duo Vecchi, Gabriel A. Yang, Wenchang Huybers, Peter 2021-06-25 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232916/ http://www.ncbi.nlm.nih.gov/pubmed/34172449 https://doi.org/10.1126/sciadv.abg6931 en eng American Association for the Advancement of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232916/ http://www.ncbi.nlm.nih.gov/pubmed/34172449 http://dx.doi.org/10.1126/sciadv.abg6931 Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. CC-BY-NC Sci Adv Research Articles Text 2021 ftpubmed https://doi.org/10.1126/sciadv.abg6931 2021-07-11T00:24:03Z Confidence in dynamical and statistical hurricane prediction is rooted in the skillful reproduction of hurricane frequency using sea surface temperature (SST) patterns, but an ensemble of high-resolution atmospheric simulation extending to the 1880s indicates model-data disagreements that exceed those expected from documented uncertainties. We apply recently developed corrections for biases in historical SSTs that lead to revisions in tropical to subtropical SST gradients by ±0.1°C. Revised atmospheric simulations have 20% adjustments in the decadal variations of hurricane frequency and become more consistent with observations. The improved simulation skill from revised SST estimates not only supports the utility of high-resolution atmospheric models for hurricane projections but also highlights the need for accurate estimates of past and future patterns of SST changes. Text North Atlantic PubMed Central (PMC) Science Advances 7 26 eabg6931
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Articles
spellingShingle Research Articles
Chan, Duo
Vecchi, Gabriel A.
Yang, Wenchang
Huybers, Peter
Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures
topic_facet Research Articles
description Confidence in dynamical and statistical hurricane prediction is rooted in the skillful reproduction of hurricane frequency using sea surface temperature (SST) patterns, but an ensemble of high-resolution atmospheric simulation extending to the 1880s indicates model-data disagreements that exceed those expected from documented uncertainties. We apply recently developed corrections for biases in historical SSTs that lead to revisions in tropical to subtropical SST gradients by ±0.1°C. Revised atmospheric simulations have 20% adjustments in the decadal variations of hurricane frequency and become more consistent with observations. The improved simulation skill from revised SST estimates not only supports the utility of high-resolution atmospheric models for hurricane projections but also highlights the need for accurate estimates of past and future patterns of SST changes.
format Text
author Chan, Duo
Vecchi, Gabriel A.
Yang, Wenchang
Huybers, Peter
author_facet Chan, Duo
Vecchi, Gabriel A.
Yang, Wenchang
Huybers, Peter
author_sort Chan, Duo
title Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures
title_short Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures
title_full Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures
title_fullStr Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures
title_full_unstemmed Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures
title_sort improved simulation of 19th- and 20th-century north atlantic hurricane frequency after correcting historical sea surface temperatures
publisher American Association for the Advancement of Science
publishDate 2021
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232916/
http://www.ncbi.nlm.nih.gov/pubmed/34172449
https://doi.org/10.1126/sciadv.abg6931
genre North Atlantic
genre_facet North Atlantic
op_source Sci Adv
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232916/
http://www.ncbi.nlm.nih.gov/pubmed/34172449
http://dx.doi.org/10.1126/sciadv.abg6931
op_rights Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).
https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
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