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Accès ouvert déclaré 2024 article

Promoting best practices in ocean forecasting through an Operational Readiness Level

13Citations signalées, ce qui n’est pas une note de qualité
46Institutions déclarées
17Pays d’affiliation déclarés

Rattachement africain : fr, us, gb, no, jp, au, be, br, it, nl, ca, Afrique du Sud, sa, in, ie, cn, de. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Predicting the ocean state in a reliable and interoperable way, while ensuring high-quality products, requires forecasting systems that synergistically combine science-based methodologies with advanced technologies for timely, user-oriented solutions. Achieving this objective necessitates the adoption of best practices when implementing ocean forecasting services, resulting in the proper design of system components and the capacity to evolve through different levels of complexity. The vision of OceanPrediction Decade Collaborative Center, endorsed by the UN Decade of Ocean Science for Sustainable Development 2021-2030, is to support this challenge by developing a “predicted ocean based on a shared and coordinated global effort” and by working within a collaborative framework that encompasses worldwide expertise in ocean science and technology. To measure the capacity of ocean forecasting systems, the OceanPrediction Decade Collaborative Center proposes a novel approach based on the definition of an Operational Readiness Level (ORL). This approach is designed to guide and promote the adoption of best practices by qualifying and quantifying the overall operational status. Considering three identified operational categories - production, validation, and data dissemination - the proposed ORL is computed through a cumulative scoring system. This method is determined by fulfilling specific criteria, starting from a given base level and progressively advancing to higher levels. The goal of ORL and the computed scores per operational category is to support ocean forecasters in using and producing ocean data, information, and knowledge. This is achieved through systems that attain progressively higher levels of readiness, accessibility, and interoperability by adopting best practices that will be linked to the future design of standards and tools. This paper discusses examples of the application of this methodology, concluding on the advantages of its adoption as a reference tool to encourage and endorse services in joining common frameworks.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Promoting best practices in ocean forecasting through an Operational Readiness Level
Date Crossref
18/11/2024
Éditeur
Frontiers Media SA
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

Mercator Ocean (France)Institute of Electrical and Electronics EngineersInstitut d'écologie et des sciences de l'environnement de ParisMet OfficeExeter HospitalIfremerNvidia (United States)Nansen Environmental and Remote Sensing CenterJapan Agency for Marine-Earth Science and TechnologyBureau of MeteorologyUniversité Libre de BruxellesInstitute of Natural SciencesFlorida State UniversityUniversidade Federal do Rio de JaneiroCMCC Foundation - Euro-Mediterranean Center on Climate ChangeDeltaresNational Institute of Oceanography and Applied GeophysicsIstituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"University of TasmaniaFisheries and Oceans CanadaUniversity of Cape TownDalhousie UniversityThe University of Texas at AustinLaboratoire d’Études en Géophysique et Océanographie SpatialesInstitut de Recherche pour le DéveloppementNational Oceanic and Atmospheric AdministrationStennis Space CenterKing Abdullah University of Science and TechnologyIndian National Centre for Ocean Information ServicesNational Oceanography CentreEnvironment and Climate Change CanadaUNESCOIntergovernmental Oceanographic Commission of UNESCOUniversity of California, Santa CruzIBM Research - IrelandScience and Technology Facilities CouncilDaresbury LaboratoryMinistry of Natural ResourcesFirst Institute of OceanographyCommonwealth Scientific and Industrial Research OrganisationHelmholtz-Zentrum HereonTula FoundationHakai InstituteSouth African Environmental Observation NetworkNational Marine Environmental Forecasting CenterRutgers, The State University of New Jersey

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Geochemistry and Geologic MappingMarine Biology and Ecology ResearchCoastal and Marine Management

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