Preprint Article Version 1 This version is not peer-reviewed

Development and Implementation of the Application APPMAR 1.0. A Toolbox for Management of Meteorological and Marine Data on Limited Information Regions

Version 1 : Received: 14 February 2020 / Approved: 17 February 2020 / Online: 17 February 2020 (03:32:48 CET)

How to cite: Rivillas-Ospina, G.; Bolivar, M.; Maza Chamorro, M.; Ruiz, G.; Casas, D.; Guerrero, R. Development and Implementation of the Application APPMAR 1.0. A Toolbox for Management of Meteorological and Marine Data on Limited Information Regions. Preprints 2020, 2020020237 (doi: 10.20944/preprints202002.0237.v1). Rivillas-Ospina, G.; Bolivar, M.; Maza Chamorro, M.; Ruiz, G.; Casas, D.; Guerrero, R. Development and Implementation of the Application APPMAR 1.0. A Toolbox for Management of Meteorological and Marine Data on Limited Information Regions. Preprints 2020, 2020020237 (doi: 10.20944/preprints202002.0237.v1).

Abstract

This work presents an application called APPMAR 1.0 based on Python ® environment, built to perform the downloading, treatment and analysis of meteorological and marine information. This application is composed of two main modules: the first module allows the downloading of information from the database (NOAA - WW3); the second module uses the principles of statistical mathematics for the treatment of waves and wind. The importance of this simple application is based on the free and agile access to meteorological and marine information for a coastal project. The determination of representative conditions of sea states ultimately will govern the process of design of coastal and oceanic infrastructure. The analysis of historical time series of local waves and winds allows the evaluation of average regimes or operational design, the ultimate limit states or extreme design, and the storms or design by persistence. In spite that the former analysis is a common task for coastal engineers, the codes generated are seldom shared for public use. In summary, for operational purposes is useful to have a freeware that can assist in the data processing for decision making and forcing of the mathematical models that are part of the common practice of coastal, oceanic and offshore engineering. This application has been tested in the Caribbean area of Colombia where meteorological and marine information are scarce.

Subject Areas

Colombia; Colombian Caribbean; marine climate; Mallorquín Lagoon; Puerto Colombia; Wave Watch III; wave; wind

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