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Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models

Using millennia-long climate model simulations, favorable environments for tropical cyclone formation are examined to determine whether the record number of tropical cyclones in the 2005 Atlantic season is close to the maximum possible number for the present climate of that basin. By estimating both...

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Autores principales: Lavender, Sally L., Walsh, Kevin J. E., Caron, Louis-Philippe, King, Malcolm, Monkiewicz, Sam, Guishard, Mark, Zhang, Qiong, Hunt, Barrie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105296/
https://www.ncbi.nlm.nih.gov/pubmed/30140742
http://dx.doi.org/10.1126/sciadv.aat6509
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author Lavender, Sally L.
Walsh, Kevin J. E.
Caron, Louis-Philippe
King, Malcolm
Monkiewicz, Sam
Guishard, Mark
Zhang, Qiong
Hunt, Barrie
author_facet Lavender, Sally L.
Walsh, Kevin J. E.
Caron, Louis-Philippe
King, Malcolm
Monkiewicz, Sam
Guishard, Mark
Zhang, Qiong
Hunt, Barrie
author_sort Lavender, Sally L.
collection PubMed
description Using millennia-long climate model simulations, favorable environments for tropical cyclone formation are examined to determine whether the record number of tropical cyclones in the 2005 Atlantic season is close to the maximum possible number for the present climate of that basin. By estimating both the mean number of tropical cyclones and their possible year-to-year random variability, we find that the likelihood that the maximum number of storms in the Atlantic could be greater than the number of events observed during the 2005 season is less than 3.5%. Using a less restrictive comparison between simulated and observed climate with the internal variability accounted for, this probability increases to 9%; however, the estimated maximum possible number of tropical cyclones does not greatly exceed the 2005 total. Hence, the 2005 season can be used as a risk management benchmark for the maximum possible number of tropical cyclones in the Atlantic.
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spelling pubmed-61052962018-08-23 Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models Lavender, Sally L. Walsh, Kevin J. E. Caron, Louis-Philippe King, Malcolm Monkiewicz, Sam Guishard, Mark Zhang, Qiong Hunt, Barrie Sci Adv Research Articles Using millennia-long climate model simulations, favorable environments for tropical cyclone formation are examined to determine whether the record number of tropical cyclones in the 2005 Atlantic season is close to the maximum possible number for the present climate of that basin. By estimating both the mean number of tropical cyclones and their possible year-to-year random variability, we find that the likelihood that the maximum number of storms in the Atlantic could be greater than the number of events observed during the 2005 season is less than 3.5%. Using a less restrictive comparison between simulated and observed climate with the internal variability accounted for, this probability increases to 9%; however, the estimated maximum possible number of tropical cyclones does not greatly exceed the 2005 total. Hence, the 2005 season can be used as a risk management benchmark for the maximum possible number of tropical cyclones in the Atlantic. American Association for the Advancement of Science 2018-08-22 /pmc/articles/PMC6105296/ /pubmed/30140742 http://dx.doi.org/10.1126/sciadv.aat6509 Text en Copyright © 2018 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). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://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.
spellingShingle Research Articles
Lavender, Sally L.
Walsh, Kevin J. E.
Caron, Louis-Philippe
King, Malcolm
Monkiewicz, Sam
Guishard, Mark
Zhang, Qiong
Hunt, Barrie
Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
title Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
title_full Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
title_fullStr Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
title_full_unstemmed Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
title_short Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models
title_sort estimation of the maximum annual number of north atlantic tropical cyclones using climate models
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105296/
https://www.ncbi.nlm.nih.gov/pubmed/30140742
http://dx.doi.org/10.1126/sciadv.aat6509
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