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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2018
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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. |
format | Online Article Text |
id | pubmed-6105296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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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