A python based system to manage simulations of coastal operational models

• Main Author: Mendonça, Fernando Mendes Coimbra de
• Publication Date: 2020
• Format: Master thesis
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: http://hdl.handle.net/10400.1/15472
• topic: Oceanografia operacional; Sistema de modelação mohid; Python; Sistema de gestão de simulações; Soma; Costa algarvia

Operational oceanography is understood as the constant endeavor of observing seas and oceans, collecting, interpreting and disseminating the measured data, in order to design methods for analyzing behavior and predicting future conditions. Consequently, ocean modelling is one of the most important activities developed within this context, as it helps to understand the aspects and phenomena of those ecosystems. In this scenario, the goal of this work is to build a simulation management system, programmed in the Python language, for coastal hydrodynamic models made in MOHID modelling system environment. MOHID is a three-dimensional model with numerical tools to solve governing equations that describe the fluid flow and to reproduce several processes of the marine environment. Python allows the rapid creation of sophisticated algorithms for all types of tasks, having the necessary resources to perform the most essential function in simulation management: the control of the inputs and outputs of a model. The management system used SOMA as the application example. SOMA is the operational validated high resolution hydrodynamic model of the Algarve coast based on MOHID. In this setup it is necessary to manage two distinct simulation cycles: the daily runs or forecast simulations, and weekly runs, which initialize the model for a new week cycle. The main body of the program was divided into two basic layers, one to process the corresponding forcing data and other to manage the simulations. The algorithm was designed to work with a predetermined generic structure of folders and file nomenclature. MOHID’s keyword feature was also adopted to specify the parameters to configure the tool. SOMA has become the first model to be controlled by the tool and still keeps its forecast cycles active, nevertheless, due to its generic feature, the simulation management system presented in this work is prepared to manage any other MOHID based model in operational mode.