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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...

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Detalles Bibliográficos
Autores principales: Meuel, T., Prado, G., Seychelles, F., Bessafi, M., Kellay, H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2012
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.
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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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