SMS-Coastal, a new Python tool to manage MOHID-based coastal operational models

Detalhes bibliográficos
Autor(a) principal: Mendonça, Fernando
Data de Publicação: 2023
Outros Autores: Martins, Flávio, Janeiro, João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/19978
Resumo: This paper presents the Simulation Management System for Operational Coastal Hydrodynamic Models, or SMS-Coastal, and its novel methodology designed to automate forecast simulations of coastal models. Its working principle features a generic framework that can be easily configured for other applications, and it was implemented with the Python programming language. The system consists of three main components: the Forcing Processor, Simulation Manager, and Data Converter, which perform operations such as the management of forecast runs and the download and conversion of external forcing data. The SMS-Coastal was tested on two model realisations using the MOHID System: SOMA, a model of the Algarve coast in Portugal, and BASIC, a model of the Cartagena Bay in Colombia. The tool proved to be generic enough to handle the different aspects of the models, being able to manage both forecast cycles.
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spelling SMS-Coastal, a new Python tool to manage MOHID-based coastal operational modelsOperational oceanographyOperational modellingSimulation managementOcean forecastOcean modellingThis paper presents the Simulation Management System for Operational Coastal Hydrodynamic Models, or SMS-Coastal, and its novel methodology designed to automate forecast simulations of coastal models. Its working principle features a generic framework that can be easily configured for other applications, and it was implemented with the Python programming language. The system consists of three main components: the Forcing Processor, Simulation Manager, and Data Converter, which perform operations such as the management of forecast runs and the download and conversion of external forcing data. The SMS-Coastal was tested on two model realisations using the MOHID System: SOMA, a model of the Algarve coast in Portugal, and BASIC, a model of the Cartagena Bay in Colombia. The tool proved to be generic enough to handle the different aspects of the models, being able to manage both forecast cycles.UID/00350/2020 CIMA; COMPETE2020, NORTE 2020; COMPETE2020, NORTE 2020, and FCT, AEROS Constellation project [grant number AAC 04/SI/2019]; ASTRIIS project [grant number 14/SI/2019-46092-ASTRIIS].MDPISapientiaMendonça, FernandoMartins, FlávioJaneiro, João2023-09-13T13:07:42Z2023-08-172023-08-25T12:38:21Z2023-08-17T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/19978engJournal of Marine Science and Engineering 11 (8): 1606 (2023)2077-131210.3390/jmse11081606info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-09-20T02:00:33Zoai:sapientia.ualg.pt:10400.1/19978Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:29:43.020955Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv SMS-Coastal, a new Python tool to manage MOHID-based coastal operational models
title SMS-Coastal, a new Python tool to manage MOHID-based coastal operational models
spellingShingle SMS-Coastal, a new Python tool to manage MOHID-based coastal operational models
Mendonça, Fernando
Operational oceanography
Operational modelling
Simulation management
Ocean forecast
Ocean modelling
title_short SMS-Coastal, a new Python tool to manage MOHID-based coastal operational models
title_full SMS-Coastal, a new Python tool to manage MOHID-based coastal operational models
title_fullStr SMS-Coastal, a new Python tool to manage MOHID-based coastal operational models
title_full_unstemmed SMS-Coastal, a new Python tool to manage MOHID-based coastal operational models
title_sort SMS-Coastal, a new Python tool to manage MOHID-based coastal operational models
author Mendonça, Fernando
author_facet Mendonça, Fernando
Martins, Flávio
Janeiro, João
author_role author
author2 Martins, Flávio
Janeiro, João
author2_role author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Mendonça, Fernando
Martins, Flávio
Janeiro, João
dc.subject.por.fl_str_mv Operational oceanography
Operational modelling
Simulation management
Ocean forecast
Ocean modelling
topic Operational oceanography
Operational modelling
Simulation management
Ocean forecast
Ocean modelling
description This paper presents the Simulation Management System for Operational Coastal Hydrodynamic Models, or SMS-Coastal, and its novel methodology designed to automate forecast simulations of coastal models. Its working principle features a generic framework that can be easily configured for other applications, and it was implemented with the Python programming language. The system consists of three main components: the Forcing Processor, Simulation Manager, and Data Converter, which perform operations such as the management of forecast runs and the download and conversion of external forcing data. The SMS-Coastal was tested on two model realisations using the MOHID System: SOMA, a model of the Algarve coast in Portugal, and BASIC, a model of the Cartagena Bay in Colombia. The tool proved to be generic enough to handle the different aspects of the models, being able to manage both forecast cycles.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-13T13:07:42Z
2023-08-17
2023-08-25T12:38:21Z
2023-08-17T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/19978
url http://hdl.handle.net/10400.1/19978
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Marine Science and Engineering 11 (8): 1606 (2023)
2077-1312
10.3390/jmse11081606
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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