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

dc.creatorRivillas, German
dc.creatorCasas, Diego
dc.creatorMaza-Chamorro, Mauro
dc.creatorBOLIVAR CARBONELL, MARIANELLA
dc.creatorRuiz-Martinez, Gabriel
dc.creatorGuerrero, Roberto
dc.creatorHorrillo-Caraballo, Jose M
dc.creatorGuerrero Pájaro, Milton Cesar
dc.creatorDíaz-Martínez, Karina
dc.creatorDel Río Colón, Roberto
dc.creatorCampos, Erick
dc.date2022-07-07T13:34:06Z
dc.date2024
dc.date2022-07-07T13:34:06Z
dc.date2022
dc.date.accessioned2023-10-03T19:31:28Z
dc.date.available2023-10-03T19:31:28Z
dc.identifierGerman 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.
dc.identifier0098-3004
dc.identifierhttps://hdl.handle.net/11323/9342
dc.identifier10.1016/j.cageo.2022.105098
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9170400
dc.descriptionThis 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.
dc.format14 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherElsevier Ltd.
dc.publisherUnited Kingdom
dc.relationComputers and Geosciences
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dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights© 2022 Published by Elsevier Ltd.
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.rightshttp://purl.org/coar/access_right/c_f1cf
dc.sourcehttps://www.sciencedirect.com/science/article/pii/S0098300422000607?via%3Dihub#!
dc.subjectWAVEWATCH III
dc.subjectWave and wind climate
dc.subjectData access
dc.subjectVisualization
dc.titleAPPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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