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

2023-08-17Journal article Open access
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dc.contributor.authorMendonça, Fernando
dc.contributor.authorMartins, Flávio
dc.contributor.authorJaneiro, João
dc.date.accessioned2023-09-13T13:07:42Z
dc.date.available2023-09-13T13:07:42Z
dc.date.issued2023-08-17
dc.date.updated2023-08-25T12:38:21Z
dc.description.abstractThis 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.pt_PT
dc.description.sponsorshipUID/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].pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifierdoi: 10.3390/jmse11081606
dc.identifier.citationJournal of Marine Science and Engineering 11 (8): 1606 (2023)pt_PT
dc.identifier.doi10.3390/jmse11081606pt_PT
dc.identifier.issn2077-1312
dc.identifier.urihttp://hdl.handle.net/10400.1/19978
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationNew Approach to Underwater Technologies for Innovative, Low-cost Ocean obServation
dc.relationDATTCOM - Data Assimilation Tools Towards Coastal Operational Models
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectOperational oceanographypt_PT
dc.subjectOperational modellingpt_PT
dc.subjectSimulation managementpt_PT
dc.subjectOcean forecastpt_PT
dc.subjectOcean modellingpt_PT
dc.titleSMS-Coastal, a new Python tool to manage MOHID-based coastal operational modelspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNew Approach to Underwater Technologies for Innovative, Low-cost Ocean obServation
oaire.awardTitleDATTCOM - Data Assimilation Tools Towards Coastal Operational Models
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/101000825/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/UI%2FBD%2F153357%2F2022/PT
oaire.citation.issue8pt_PT
oaire.citation.startPage1606pt_PT
oaire.citation.titleJournal of Marine Science and Engineeringpt_PT
oaire.citation.volume11pt_PT
oaire.fundingStreamH2020
oaire.fundingStreamOE
person.familyNameMendonça
person.familyNameMartins
person.familyNameJaneiro
person.givenNameFernando
person.givenNameFlávio
person.givenNameJoão
person.identifier2545197
person.identifier547684
person.identifier.ciencia-idC01C-E56C-50BB
person.identifier.ciencia-id6711-E990-FFD9
person.identifier.ciencia-id0A14-0FA9-3278
person.identifier.orcid0000-0003-4523-5746
person.identifier.orcid0000-0002-9863-6255
person.identifier.orcid0000-0002-6241-8520
person.identifier.ridU-2673-2018
person.identifier.ridP-7833-2015
person.identifier.scopus-author-id57964080300
person.identifier.scopus-author-id7006504350
person.identifier.scopus-author-id23667713600
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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