Show simple item record

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

dc.contributor.authorRivillas-Ospina, German
dc.contributor.authorCasas, Diego
dc.contributor.authorMaza, Mauro
dc.contributor.authorBolivar, Marianella
dc.contributor.authorRuiz, Gabriel
dc.contributor.authorGuerrero, Roberto
dc.contributor.authorHorrillo-Caraballo, José M.
dc.contributor.authorGuerrero, Milton
dc.contributor.authorDiaz Martinez, Karina SOFIA
dc.contributor.authorDel Rio, Roberto
dc.contributor.authorCampos, Erick
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,
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 statis tical 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 prob ability, 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, M´exico, where observational wave and wind data are
dc.format.extent14 Páginas
dc.sourceComputers & Geosciences Vol. 162 (2022)spa
dc.titleAPPMAR 1.0: A Python application for downloading and analyzing of WAVEWATCH III® wave and wind dataspa
dcterms.bibliographicCitationC.M. Appendini, A. Torres-Freyermuth, P. Salles, J. López-González, E.T. Mendoza Wave climate and trends for the Gulf of Mexico: a 30-yr wave hindcast J. Clim., 27 (2014), pp. 1619-1632,spa
dcterms.bibliographicCitationBernabeu et al., 2002 A.M. Bernabeu, R. Medina, C. Vidal An equilibrium profile model for tidal environments Sci. Mar., 66 (2002), pp. 325-335spa
dcterms.bibliographicCitationBowman and Lees, 2015 D.C. Bowman, J.M. Lees Near real time weather and ocean model data access with rNOMADS Comput. Geosci., 78 (2015), pp. 88-95,spa
dcterms.bibliographicCitationBrodtkorb et al., 2000 P. Brodtkorb, P. Johannesson, G. Lindgren, I. Rychlik, J. Ryden, E. Sjo WAFO - a Matlab toolbox for analysis of random waves and loads Proc. Int. Offshore Polar Eng. Conf., 3 (2000), pp. 343-350spa
dcterms.bibliographicCitationCapitão and Burrows, 1995 R. Capitão, R. Burrows Wave predictions based on scatter diagram data. A computer program package Adv. Eng. Software, 23 (1995), pp. 49-59,spa
dcterms.bibliographicCitationCastillo, 1988 E. Castillo Extreme Value Theory in Engineering, Statistical Modeling and Decision Science Academic Press, San Diego, California (1988),spa
dcterms.bibliographicCitationDean, 1977 R.G. Dean Equilibrium Beach Profiles, U.S. Atlantic and Gulf Coasts (Technical Report No. 12) University of Delaware, Newark (1977)spa
dcterms.bibliographicCitationDevis-Morales et al., 2017 A. Devis-Morales, R.A. Montoya-Sánchez, G. Bernal, A.F. Osorio Assessment of extreme wind and waves in the Colombian Caribbean Sea for offshore applications Appl. Ocean Res., 69 (2017), pp. 10-26spa
dcterms.bibliographicCitationFelix et al., 2018 A. Felix, E. Mendoza, V. Chávez, R. Silva, G. Rivillas-Ospina Wave and wind energy potential including extreme events: a case study of Mexico J. Coast Res., 85 (2018), pp. 1336-1340spa
dcterms.bibliographicCitationHunter, 2007 J.D. Hunter Matplotlib: a 2D graphics environment Comput. Sci. Eng., 9 (2007), pp. 90-95spa
dcterms.bibliographicCitationKarimpour and Chen, 2017 A. Karimpour, Q. Chen Wind wave analysis in depth limited water using OCEANLYZ, A MATLAB toolbox Comput. Geosci., 106 (2017), pp. 181-189spa
dcterms.bibliographicCitationLandry et al., 2012 B.J. Landry, M.J. Hancock, C.C. Mei, M.H. García WaveAR: a software tool for calculating parameters for water waves with incident and reflected components Comput. Geosci., 46 (2012), pp. 38-43spa
dcterms.bibliographicCitationMagaña et al., 2020 P. Magaña, J. Del-Rosal-Salido, M. Cobos, A. Lira-Loarca, M. Ortega-Sánchez Approaching software engineering for marine sciences: a single development process for multiple end-user applications J. Mar. Sci. Eng., 8 (2020), p. 350spa
dcterms.bibliographicCitationMartell et al., 2020 R. Martell, E. Mendoza, I. Mariño-Tapia, I. Odériz, R. Silva How effective were the beach nourishments at Cancun? J. Mar. Sci. Eng., 8 (2020), p. 388spa
dcterms.bibliographicCitationMaza Chamorro et al., 2018 M. Maza Chamorro, R. Del Río Colón, E. Campo Rojas Uso de información de viento y oleaje en el Caribe C.T.N. Diocean (Ed.), Manual de Referencia En Mejores Prácticas de Gestión de Datos Oceánicos. DIMAR, Bogotá, , D.C., Colombia (2018), pp. 32-36spa
dcterms.bibliographicCitationMesa, 2009 J.C. Mesa Metodología para el reanálisis de series de oleaje para el caribe colombiano (2009)spa
dcterms.bibliographicCitationMesa et al., 1997 O.J. Mesa, G. Poveda, L.F. Carvajal Introducción al clima de Colombia Universidad Nacional de Colombia, Medellín (1997)spa
dcterms.bibliographicCitationMontoya et al., 2018 R.D. Montoya, M. Menendez, A.F. Osorio Exploring changes in Caribbean hurricane-induced wave heights Ocean Eng., 163 (2018), pp. 126-135,spa
dcterms.bibliographicCitationOrtiz, 2012 J.C. Ortiz Exposure of the Colombian Caribbean coast, including San Andrés Island, to tropical storms and hurricanes, 1900–2010 Nat. Hazards, 61 (2012), pp. 815-827spa
dcterms.bibliographicCitationOrtiz, 2009 J.C. Ortiz Aplicación de un modelo paramétrico de vientos y un modelo de oleaje espectral para el estudio del oleaje máximo generado por el huracán Lenny en las costas del Caribe colombiano en 1999 Boletín Científico CIOH (2009), pp. 29-36spa
dcterms.bibliographicCitationOrtiz et al., 2015 J.C. Ortiz, J.M.P. Moreno, O. Lizano Evaluation of extreme waves associated with cyclonic activity on san Andrés Island in the Caribbean Sea since 1900 Coast. Res., 31 (2015), pp. 557-568spa
dcterms.bibliographicCitationOrtiz et al., 2012 J.C. Ortiz, B. Salcedo, L.J. Otero Investigating the collapse of the Puerto Colombia Pier (Colombian Caribbean coast) in March 2009: methodology for the reconstruction of extreme events and the evaluation of their impact on the coastal infrastructure J. Coast Res., 30 (2012), pp. 291-300spa
dcterms.bibliographicCitationOrtiz-Royero et al., 2013 J.C. Ortiz-Royero, L.J. Otero, J.C. Restrepo, J. Ruiz, M. Cadena Cold fronts in the Colombian Caribbean Sea and their relationship to extreme wave events Nat. Hazards Earth Syst. Sci., 13 (2013), pp. 2797-2804spa
dcterms.bibliographicCitationOsorio et al., 2016 A.F. Osorio, R.D. Montoya, J.C. Ortiz, D. Peláez Construction of synthetic ocean wave series along the Colombian Caribbean Coast: a wave climate analysis Appl. Ocean Res., 56 (2016), pp. 119-131spa
dcterms.bibliographicCitationReguero et al., 2013 B.G. Reguero, F.J. Méndez, I.J. Losada Variability of multivariate wave climate in Latin America and the Caribbean Global Planet. Change, 100 (2013), pp. 70-84,spa
dcterms.bibliographicCitationReguero et al., 2012 B.G. Reguero, M. Menéndez, F.J. Méndez, R. Mínguez, I.J. Losada A Global Ocean Wave (GOW) calibrated reanalysis from 1948 onwards Coast. Eng., 65 (2012), pp. 38-55spa
dcterms.bibliographicCitationRivillas-Ospina et al., 2017 G.D. Rivillas-Ospina, G. Ruiz-Martinez, R. Silva, E. Mendoza, C. Pacheco, G. Acuña, J. Rueda, A. Felix, J. Pérez, C. Pinilla Physical and morphological changes to wetlands induced by coastal structures C.W. Finkl, C. Makowski (Eds.), Coastal Wetlands: Alteration and Remediation, Coastal Research Library, Springer International Publishing, Cham (2017), pp. 275-315spa
dcterms.bibliographicCitationRuiz et al., 2009 G. Ruiz, E. Mendoza, R. Silva, G. Posada, D. Pérez, G. Rivillas, E. Escalante, F. Ruiz Caracterización del régimen del oleaje y viento de 1948-2007 en el litoral mexicano Ingeniería del agua, 16 (2009), pp. 51-64spa
dcterms.bibliographicCitationM.A. Ruiz-Ochoa, G. Bernal Franco Variabilidad estacional e interanual del viento en los datos del reanálisis NCEP/NCAR en la cuenca Colombia, mar Caribe. Av. Recur. Hidraul (2009)spa
dcterms.bibliographicCitationSilva, 2005 R. Silva Análisis y descripción estadística del oleaje, Serie Docencia Universidad Nacional Autónoma de México, México, D.F (2005)spa
dcterms.bibliographicCitationTorres and Andrade, 2006 R.R. Torres, C.A. Andrade Potential en Colombia para el Aprovechamiento de la Energía No Convencional de los Océanos Boletín Científico CIOH (2006), pp. 11-25spa
dc.subject.keywordsWAVEWATCH IIIspa
dc.subject.keywordsWave and wind climatespa
dc.subject.keywordsData accessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa

Files in this item


This item appears in the following Collection(s)

Show simple item record
Except where otherwise noted, this item's license is described as