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    Numerical Analysis and Diagnosis of the Hydrodynamic Effects Produced by Hurricane Gordon along the Coast of Spain

    Source: Weather and Forecasting:;2014:;volume( 029 ):;issue: 003::page 666
    Author:
    Diaz-Hernandez, Gabriel
    ,
    Mendez, Fernando J.
    ,
    Mínguez, Roberto
    DOI: 10.1175/WAF-D-13-00130.1
    Publisher: American Meteorological Society
    Abstract: his paper presents a detailed hindcast for the generation and propagation of sea state variables?significant wave height Hs, peak period Tp, mean direction ?, and spectral shape ? ?σ ?associated with cyclonic events to numerically diagnose their possible hydrodynamic effects over the northeastern Atlantic. An example of such cyclonic events is Hurricane Gordon, which occurred during the second half of August 2012. Extreme hurricane-strength winds produced new and atypically low-frequency (about 14 s) packs of energy. The preexistent wave spectrum suddenly experienced an addition of low-frequency energy along the coast of Cádiz, Spain. This study presents the results of a comprehensive analysis developed to reconstruct the events produced by Hurricane Gordon (2012) along the coast of Cádiz. The analysis features the use of (i) parametric models for the characterization of hurricane winds and pressure fields, (ii) implementation of the Simulating Waves Nearshore (SWAN) model for the generation and propagation of waves in the northeast Atlantic Ocean, and (iii) its coupling with the MOPLA?taken from the Spanish acronym for wave propagation model, current, and morphodynamic evolution of beaches?model for the evaluation of longshore currents. The numerical wave characterization, generation, and propagation were validated with instrumental data from deep-water and coastal buoys.
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      Numerical Analysis and Diagnosis of the Hydrodynamic Effects Produced by Hurricane Gordon along the Coast of Spain

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    contributor authorDiaz-Hernandez, Gabriel
    contributor authorMendez, Fernando J.
    contributor authorMínguez, Roberto
    date accessioned2017-06-09T17:36:31Z
    date available2017-06-09T17:36:31Z
    date copyright2014/06/01
    date issued2014
    identifier issn0882-8156
    identifier otherams-87999.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231729
    description abstracthis paper presents a detailed hindcast for the generation and propagation of sea state variables?significant wave height Hs, peak period Tp, mean direction ?, and spectral shape ? ?σ ?associated with cyclonic events to numerically diagnose their possible hydrodynamic effects over the northeastern Atlantic. An example of such cyclonic events is Hurricane Gordon, which occurred during the second half of August 2012. Extreme hurricane-strength winds produced new and atypically low-frequency (about 14 s) packs of energy. The preexistent wave spectrum suddenly experienced an addition of low-frequency energy along the coast of Cádiz, Spain. This study presents the results of a comprehensive analysis developed to reconstruct the events produced by Hurricane Gordon (2012) along the coast of Cádiz. The analysis features the use of (i) parametric models for the characterization of hurricane winds and pressure fields, (ii) implementation of the Simulating Waves Nearshore (SWAN) model for the generation and propagation of waves in the northeast Atlantic Ocean, and (iii) its coupling with the MOPLA?taken from the Spanish acronym for wave propagation model, current, and morphodynamic evolution of beaches?model for the evaluation of longshore currents. The numerical wave characterization, generation, and propagation were validated with instrumental data from deep-water and coastal buoys.
    publisherAmerican Meteorological Society
    titleNumerical Analysis and Diagnosis of the Hydrodynamic Effects Produced by Hurricane Gordon along the Coast of Spain
    typeJournal Paper
    journal volume29
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-13-00130.1
    journal fristpage666
    journal lastpage683
    treeWeather and Forecasting:;2014:;volume( 029 ):;issue: 003
    contenttypeFulltext
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