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Hurricane track forecast cones from fluctuations
Trajectories of tropical cyclones may show large deviations from predicted tracks leading to uncertainty as to their landfall location for example. Prediction schemes usually render this uncertainty by showing track forecast cones representing the most probable region for the location of a cyclone d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3375043/ https://www.ncbi.nlm.nih.gov/pubmed/22701776 http://dx.doi.org/10.1038/srep00446 |
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author | Meuel, T. Prado, G. Seychelles, F. Bessafi, M. Kellay, H. |
author_facet | Meuel, T. Prado, G. Seychelles, F. Bessafi, M. Kellay, H. |
author_sort | Meuel, T. |
collection | PubMed |
description | Trajectories of tropical cyclones may show large deviations from predicted tracks leading to uncertainty as to their landfall location for example. Prediction schemes usually render this uncertainty by showing track forecast cones representing the most probable region for the location of a cyclone during a period of time. By using the statistical properties of these deviations, we propose a simple method to predict possible corridors for the future trajectory of a cyclone. Examples of this scheme are implemented for hurricane Ike and hurricane Jimena. The corridors include the future trajectory up to at least 50 h before landfall. The cones proposed here shed new light on known track forecast cones as they link them directly to the statistics of these deviations. |
format | Online Article Text |
id | pubmed-3375043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-33750432012-06-14 Hurricane track forecast cones from fluctuations Meuel, T. Prado, G. Seychelles, F. Bessafi, M. Kellay, H. Sci Rep Article Trajectories of tropical cyclones may show large deviations from predicted tracks leading to uncertainty as to their landfall location for example. Prediction schemes usually render this uncertainty by showing track forecast cones representing the most probable region for the location of a cyclone during a period of time. By using the statistical properties of these deviations, we propose a simple method to predict possible corridors for the future trajectory of a cyclone. Examples of this scheme are implemented for hurricane Ike and hurricane Jimena. The corridors include the future trajectory up to at least 50 h before landfall. The cones proposed here shed new light on known track forecast cones as they link them directly to the statistics of these deviations. Nature Publishing Group 2012-06-14 /pmc/articles/PMC3375043/ /pubmed/22701776 http://dx.doi.org/10.1038/srep00446 Text en Copyright © 2012, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Article Meuel, T. Prado, G. Seychelles, F. Bessafi, M. Kellay, H. Hurricane track forecast cones from fluctuations |
title | Hurricane track forecast cones from fluctuations |
title_full | Hurricane track forecast cones from fluctuations |
title_fullStr | Hurricane track forecast cones from fluctuations |
title_full_unstemmed | Hurricane track forecast cones from fluctuations |
title_short | Hurricane track forecast cones from fluctuations |
title_sort | hurricane track forecast cones from fluctuations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3375043/ https://www.ncbi.nlm.nih.gov/pubmed/22701776 http://dx.doi.org/10.1038/srep00446 |
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