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APPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind data

dc.contributor.authorRivillas, Germanspa
dc.contributor.authorCasas, Diegospa
dc.contributor.authorMaza-Chamorro, Maurospa
dc.contributor.authorBOLIVAR CARBONELL, MARIANELLAspa
dc.contributor.authorRuiz-Martinez, Gabrielspa
dc.contributor.authorGuerrero, Robertospa
dc.contributor.authorHorrillo-Caraballo, Jose Mspa
dc.contributor.authorGuerrero Pájaro, Milton Cesar spa
dc.contributor.authorDíaz-Martínez, Karinaspa
dc.contributor.authorDel Río Colón, Roberto spa
dc.contributor.authorCampos, Erickspa
dc.date.accessioned2022-07-07T13:34:06Z
dc.date.available2024
dc.date.available2022-07-07T13:34:06Z
dc.date.issued2022
dc.identifier.citationGerman Rivillas-Ospina, Diego Casas, Mauro Antonio Maza-Chamorro, Marianella Bolívar, Gabriel Ruiz, Roberto Guerrero, José M. Horrillo-Caraballo, Milton Guerrero, Karina Díaz, Roberto del Rio, Erick Campos, APPMAR 1.0: A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data, Computers & Geosciences, Volume 162, 2022, 105098, ISSN 0098-3004, https://doi.org/10.1016/j.cageo.2022.105098.spa
dc.identifier.issn0098-3004spa
dc.identifier.urihttps://hdl.handle.net/11323/9342spa
dc.description.abstractThis work presents APPMAR 1.0, an application written in the Python programming language that downloads, processes, and analyzes wind and wave data. This application is composed of a graphical user interface (GUI) that contains two main modules: the first module downloads data from WAVEWATCH III® (WW3) production hindcasts by the National Oceanic and Atmospheric Administration (NOAA); the second module applies statistical mathematics for processing and analyzing wave and wind data. This application provides useful graphical results that describe mean and extreme wave and wind climate. APPMAR generates plots of exceedance probability, joint probability distribution, wave direction, Weibull distribution, and storm frequency analysis. Currently, APPMAR only downloads and analyzes wave and wind data from WW3 hindcasts, but it is under development to other datasets and marine climate parameters. This application has been tested in the Magdalena River mouth, Colombia, and Cancún, México, where observational wave and wind data are scarce.eng
dc.format.extent14 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherElsevier Ltd.spa
dc.rights© 2022 Published by Elsevier Ltd.spa
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)spa
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.titleAPPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind dataeng
dc.typeArtículo de revistaspa
dc.source.urlhttps://www.sciencedirect.com/science/article/pii/S0098300422000607?via%3Dihub#!spa
dc.rights.accessrightsinfo:eu-repo/semantics/embargoedAccessspa
dc.identifier.doi10.1016/j.cageo.2022.105098spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.publisher.placeUnited Kingdomspa
dc.relation.ispartofjournalComputers and Geosciencesspa
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dc.subject.proposalWAVEWATCH IIIeng
dc.subject.proposalWave and wind climateeng
dc.subject.proposalData accesseng
dc.subject.proposalVisualizationeng
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
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dc.relation.citationendpage14spa
dc.relation.citationstartpage1spa
dc.relation.citationvolume162spa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.coarhttp://purl.org/coar/access_right/c_f1cfspa


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