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

This 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® (W...

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Autores:
Rivillas, German
Casas, Diego
Maza-Chamorro, Mauro
BOLIVAR CARBONELL, MARIANELLA
Ruiz-Martinez, Gabriel
Guerrero, Roberto
Horrillo-Caraballo, Jose M
Guerrero Pájaro, Milton Cesar
Díaz-Martínez, Karina
Del Río Colón, Roberto
Campos, Erick
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9342
Acceso en línea:
https://hdl.handle.net/11323/9342
https://repositorio.cuc.edu.co/
Palabra clave:
WAVEWATCH III
Wave and wind climate
Data access
Visualization
Rights
embargoedAccess
License
© 2022 Published by Elsevier Ltd.
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oai_identifier_str oai:repositorio.cuc.edu.co:11323/9342
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dc.title.eng.fl_str_mv APPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
title APPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
spellingShingle APPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
WAVEWATCH III
Wave and wind climate
Data access
Visualization
title_short APPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
title_full APPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
title_fullStr APPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
title_full_unstemmed APPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
title_sort APPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
dc.creator.fl_str_mv Rivillas, German
Casas, Diego
Maza-Chamorro, Mauro
BOLIVAR CARBONELL, MARIANELLA
Ruiz-Martinez, Gabriel
Guerrero, Roberto
Horrillo-Caraballo, Jose M
Guerrero Pájaro, Milton Cesar
Díaz-Martínez, Karina
Del Río Colón, Roberto
Campos, Erick
dc.contributor.author.spa.fl_str_mv Rivillas, German
Casas, Diego
Maza-Chamorro, Mauro
BOLIVAR CARBONELL, MARIANELLA
Ruiz-Martinez, Gabriel
Guerrero, Roberto
Horrillo-Caraballo, Jose M
Guerrero Pájaro, Milton Cesar
Díaz-Martínez, Karina
Del Río Colón, Roberto
Campos, Erick
dc.subject.proposal.eng.fl_str_mv WAVEWATCH III
Wave and wind climate
Data access
Visualization
topic WAVEWATCH III
Wave and wind climate
Data access
Visualization
description This 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.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-07-07T13:34:06Z
dc.date.available.none.fl_str_mv 2022-07-07T13:34:06Z
2024
dc.date.issued.none.fl_str_mv 2022
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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format http://purl.org/coar/resource_type/c_6501
dc.identifier.citation.spa.fl_str_mv German 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.identifier.issn.spa.fl_str_mv 0098-3004
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/9342
dc.identifier.doi.spa.fl_str_mv 10.1016/j.cageo.2022.105098
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv German 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.
0098-3004
10.1016/j.cageo.2022.105098
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/9342
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv Computers and Geosciences
dc.relation.references.spa.fl_str_mv Appendini et al., 2014 C.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, 10.1175/JCLI-D-13-00206.1
Bernabeu et al., 2002 A.M. Bernabeu, R. Medina, C. Vidal An equilibrium profile model for tidal environments Sci. Mar., 66 (2002), pp. 325-335, 10.3989/scimar.2002.66n4325
Bowman 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, 10.1016/j.cageo.2015.02.013
Brodtkorb 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. 343-350
Capitão 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, 10.1016/0965-9978(95)00019-N
Castillo, 1988 E. Castillo Extreme Value Theory in Engineering, Statistical Modeling and Decision Science Academic Press, San Diego, California (1988), 10.1016/C2009-0-22169-6
Dean, 1977 R.G. Dean Equilibrium Beach Profiles, U.S. Atlantic and Gulf Coasts (Technical Report No. 12) University of Delaware, Newark (1977)
Devis-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. 10-26, 10.1016/j.apor.2017.09.012
Felix 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. 1336-1340, 10.2112/SI85-268.1
Hunter, 2007 J.D. Hunter Matplotlib: a 2D graphics environment Comput. Sci. Eng., 9 (2007), pp. 90-95, 10.1109/MCSE.2007.55
Karimpour and Chen, 2017 A. Karimpour, Q. Chen Wind wave analysis in depth limited water using OCEANLYZ, A MATLAB toolbox Comput. Geosci., 106 (2017), pp. 181-189, 10.1016/j.cageo.2017.06.010
Landry 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. 38-43, 10.1016/j.cageo.2012.04.001
Magaña 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. 350, 10.3390/jmse8050350
Martell 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. 388, 10.3390/jmse8060388
Maza 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. 32-36
Mesa, 2009 J.C. Mesa Metodología para el reanálisis de series de oleaje para el caribe colombiano (2009)
Mesa et al., 1997 O.J. Mesa, G. Poveda, L.F. Carvajal Introducción al clima de Colombia Universidad Nacional de Colombia, Medellín (1997)
Montoya 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, 10.1016/j.oceaneng.2018.05.032
Ortiz, 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. 815-827, 10.1007/s11069-011-0069-1
Ortiz, 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. 29-36
Ortiz 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. 557-568, 10.2112/JCOASTRES-D-14-00072.1
Ortiz 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. 291-300, 10.2112/JCOASTRES-D-12-00062.1
Ortiz-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. 2797-2804, 10.5194/nhess-13-2797-2013
Osorio 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. 119-131, 10.1016/j.apor.2016.01.004
Reguero 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, 10.1016/j.gloplacha.2012.09.005
Reguero 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. 38-55, 10.1016/j.coastaleng.2012.03.003
Rivillas-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. 275-315, 10.1007/978-3-319-56179-0_9
Ruiz 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. 51-64, 10.4995/ia.2009.2944
Ruiz-Ochoa and Bernal Franco, 2009 M.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)
Silva, 2005 R. Silva Análisis y descripción estadística del oleaje, Serie Docencia Universidad Nacional Autónoma de México, México, D.F (2005)
Torres 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. 11-25, 10.26640/22159045.145
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spelling Rivillas, German79072ca5ee3159ac0c5bed8c00f7ac2a600Casas, Diego88789d0c0586492658068077ab2b37b1Maza-Chamorro, Mauroaf455a63397ac91b00eb7a2cc93b9e19600BOLIVAR CARBONELL, MARIANELLA93008d53e7dff88d32e991c055bd9ce8600Ruiz-Martinez, Gabriela4a5fdf7aecb6c51884dff943b8ad0b0600Guerrero, Roberto1aa365286cd86a37a5105292f4785d98Horrillo-Caraballo, Jose M44859984b2c99967fd866ebb8c6f98f6600Guerrero Pájaro, Milton Cesar a9b2c28177e515a65250c8b86ccd98e5600Díaz-Martínez, Karina5fa8d550cb7de8b527dc3dfc71b01abe600Del Río Colón, Roberto 8f509511715664537175ce2bb2bd040d600Campos, Erick30caf511f7e54f2fd5913f624c9f65122022-07-07T13:34:06Z20242022-07-07T13:34:06Z2022German 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.2022.105098.0098-3004https://hdl.handle.net/11323/934210.1016/j.cageo.2022.105098Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This 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.14 páginasapplication/pdfengElsevier Ltd.United Kingdom© 2022 Published by Elsevier Ltd.Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfAPPMAR 1.0: a Python application for downloading and analyzing of WAVEWATCH III® wave and wind dataArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85https://www.sciencedirect.com/science/article/pii/S0098300422000607?via%3Dihub#!Computers and GeosciencesAppendini et al., 2014 C.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, 10.1175/JCLI-D-13-00206.1Bernabeu et al., 2002 A.M. Bernabeu, R. Medina, C. Vidal An equilibrium profile model for tidal environments Sci. Mar., 66 (2002), pp. 325-335, 10.3989/scimar.2002.66n4325Bowman 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, 10.1016/j.cageo.2015.02.013Brodtkorb 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. 343-350Capitão 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, 10.1016/0965-9978(95)00019-NCastillo, 1988 E. Castillo Extreme Value Theory in Engineering, Statistical Modeling and Decision Science Academic Press, San Diego, California (1988), 10.1016/C2009-0-22169-6Dean, 1977 R.G. Dean Equilibrium Beach Profiles, U.S. Atlantic and Gulf Coasts (Technical Report No. 12) University of Delaware, Newark (1977)Devis-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. 10-26, 10.1016/j.apor.2017.09.012Felix 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. 1336-1340, 10.2112/SI85-268.1Hunter, 2007 J.D. Hunter Matplotlib: a 2D graphics environment Comput. Sci. Eng., 9 (2007), pp. 90-95, 10.1109/MCSE.2007.55Karimpour and Chen, 2017 A. Karimpour, Q. Chen Wind wave analysis in depth limited water using OCEANLYZ, A MATLAB toolbox Comput. Geosci., 106 (2017), pp. 181-189, 10.1016/j.cageo.2017.06.010Landry 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. 38-43, 10.1016/j.cageo.2012.04.001Magaña 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. 350, 10.3390/jmse8050350Martell 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. 388, 10.3390/jmse8060388Maza 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. 32-36Mesa, 2009 J.C. Mesa Metodología para el reanálisis de series de oleaje para el caribe colombiano (2009)Mesa et al., 1997 O.J. Mesa, G. Poveda, L.F. Carvajal Introducción al clima de Colombia Universidad Nacional de Colombia, Medellín (1997)Montoya 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, 10.1016/j.oceaneng.2018.05.032Ortiz, 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. 815-827, 10.1007/s11069-011-0069-1Ortiz, 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. 29-36Ortiz 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. 557-568, 10.2112/JCOASTRES-D-14-00072.1Ortiz 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. 291-300, 10.2112/JCOASTRES-D-12-00062.1Ortiz-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. 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Andrade Potential en Colombia para el Aprovechamiento de la Energía No Convencional de los Océanos Boletín Científico CIOH (2006), pp. 11-25, 10.26640/22159045.145141162WAVEWATCH IIIWave and wind climateData accessVisualizationORIGINALAPPMAR 1.0 A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data.pdfAPPMAR 1.0 A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data.pdfapplication/pdf13369272https://repositorio.cuc.edu.co/bitstream/11323/9342/1/APPMAR%201.0%20A%20Python%20application%20for%20downloading%20and%20analyzing%20of%20WAVEWATCH%20III%c2%ae%20wave%20and%20wind%20data.pdf5c79e3b4ecd0075558942dc87432e0c4MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstream/11323/9342/2/license.txte30e9215131d99561d40d6b0abbe9badMD52open accessTEXTAPPMAR 1.0 A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data.pdf.txtAPPMAR 1.0 A Python 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