Paper Info
Title
APPMAR 1.0: A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
Abstract
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.
Year
DOI
Venue
2022
10.1016/j.cageo.2022.105098
Computers & Geosciences
Keywords
DocType
Volume
WAVEWATCH III,Wave and wind climate,Data access,Visualization
Journal
162
ISSN
Citations 
PageRank 
0098-3004
0
0.34
References 
Authors
0
11
Name
Order
Citations
PageRank
German Rivillas-Ospina100.34
Diego Casas200.34
Marianella Bolivar300.34
Gabriel Ruiz400.34
Roberto Guerrero500.34
Milton Guerrero600.34
Karina Diaz700.34
Erick Campos800.34
Mauro Antonio Maza-Chamorro900.34
Jose M. Horrillo-Caraballo1000.34
Roberto del Rio1100.34