CMEMS-Based Coastal Analyses: Conditioning, Coupling and Limits for Applications
Recent advances in numerical modeling, satellite data, and coastal processes, together with the rapid evolution of CMEMS products and the increasing pressures on coastal zones, suggest the timeliness of extending such products toward the coast. The CEASELESS EU H2020 project combines Sentinel and in...
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doaj-f80be96ebef343e3ae7f38c2fea513bb2021-03-24T06:39:50ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452021-03-01810.3389/fmars.2021.604741604741CMEMS-Based Coastal Analyses: Conditioning, Coupling and Limits for ApplicationsAgustin Sanchez-Arcilla0Joanna Staneva1Luigi Cavaleri2Merete Badger3Jean Bidlot4Jacob T. Sorensen5Lars B. Hansen6Adrien Martin7Andy Saulter8Manuel Espino9Mario M. Miglietta10Marc Mestres11Davide Bonaldo12Paolo Pezzutto13Johannes Schulz-Stellenfleth14Anne Wiese15Xiaoli Larsen16Sandro Carniel17Rodolfo Bolaños18Saleh Abdalla19Alessandro Tiesi20Universitat Politecnica de Catalunya, BarcelonaTech (UPC), Barcelona, SpainInstitute of Coastal Systems, Helmholtz Centre for Materials and Coastal Research (HZG), Geesthacht, GermanyInstitute of Marine Science, National Research Council (CNR), Venezia, ItalyTechnical University of Denmark (DTU), Lyngby, DenmarkEuropean Centre for Medium-Range Weather Forecasts, Reading, United KingdomDanish Hydrologic Institute, Copenhagen, DenmarkDanish Hydraulic Institute (DHI) – DHI GRAS, Hørsholm, DenmarkNational Oceanography Centre, University of Southampton, Southampton, United KingdomMet Office, Exeter, United KingdomUniversitat Politecnica de Catalunya, BarcelonaTech (UPC), Barcelona, Spain0Institute of Atmospheric Sciences and Climate (CNR-ISAC), Bologna, ItalyUniversitat Politecnica de Catalunya, BarcelonaTech (UPC), Barcelona, SpainInstitute of Marine Science, National Research Council (CNR), Venezia, ItalyInstitute of Marine Science, National Research Council (CNR), Venezia, ItalyInstitute of Coastal Systems, Helmholtz Centre for Materials and Coastal Research (HZG), Geesthacht, GermanyInstitute of Coastal Systems, Helmholtz Centre for Materials and Coastal Research (HZG), Geesthacht, GermanyTechnical University of Denmark (DTU), Lyngby, DenmarkInstitute of Marine Science, National Research Council (CNR), Venezia, Italy1DHI, Hørsholm, DenmarkEuropean Centre for Medium-Range Weather Forecasts, Reading, United Kingdom0Institute of Atmospheric Sciences and Climate (CNR-ISAC), Bologna, ItalyRecent advances in numerical modeling, satellite data, and coastal processes, together with the rapid evolution of CMEMS products and the increasing pressures on coastal zones, suggest the timeliness of extending such products toward the coast. The CEASELESS EU H2020 project combines Sentinel and in-situ data with high-resolution models to predict coastal hydrodynamics at a variety of scales, according to stakeholder requirements. These predictions explicitly introduce land discharges into coastal oceanography, addressing local conditioning, assimilation memory and anisotropic error metrics taking into account the limited size of coastal domains. This article presents and discusses the advances achieved by CEASELESS in exploring the performance of coastal models, considering model resolution and domain scales, and assessing error generation and propagation. The project has also evaluated how underlying model uncertainties can be treated to comply with stakeholder requirements for a variety of applications, from storm-induced risks to aquaculture, from renewable energy to water quality. This has led to the refinement of a set of demonstrative applications, supported by a software environment able to provide met-ocean data on demand. The article ends with some remarks on the scientific, technical and application limits for CMEMS-based coastal products and how these products may be used to drive the extension of CMEMS toward the coast, promoting a wider uptake of CMEMS-based predictions.https://www.frontiersin.org/articles/10.3389/fmars.2021.604741/fulloceanographycoastal and regionalcoupled modelssentinel datadownscalingcoastal ocean applications |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Agustin Sanchez-Arcilla Joanna Staneva Luigi Cavaleri Merete Badger Jean Bidlot Jacob T. Sorensen Lars B. Hansen Adrien Martin Andy Saulter Manuel Espino Mario M. Miglietta Marc Mestres Davide Bonaldo Paolo Pezzutto Johannes Schulz-Stellenfleth Anne Wiese Xiaoli Larsen Sandro Carniel Rodolfo Bolaños Saleh Abdalla Alessandro Tiesi |
spellingShingle |
Agustin Sanchez-Arcilla Joanna Staneva Luigi Cavaleri Merete Badger Jean Bidlot Jacob T. Sorensen Lars B. Hansen Adrien Martin Andy Saulter Manuel Espino Mario M. Miglietta Marc Mestres Davide Bonaldo Paolo Pezzutto Johannes Schulz-Stellenfleth Anne Wiese Xiaoli Larsen Sandro Carniel Rodolfo Bolaños Saleh Abdalla Alessandro Tiesi CMEMS-Based Coastal Analyses: Conditioning, Coupling and Limits for Applications Frontiers in Marine Science oceanography coastal and regional coupled models sentinel data downscaling coastal ocean applications |
author_facet |
Agustin Sanchez-Arcilla Joanna Staneva Luigi Cavaleri Merete Badger Jean Bidlot Jacob T. Sorensen Lars B. Hansen Adrien Martin Andy Saulter Manuel Espino Mario M. Miglietta Marc Mestres Davide Bonaldo Paolo Pezzutto Johannes Schulz-Stellenfleth Anne Wiese Xiaoli Larsen Sandro Carniel Rodolfo Bolaños Saleh Abdalla Alessandro Tiesi |
author_sort |
Agustin Sanchez-Arcilla |
title |
CMEMS-Based Coastal Analyses: Conditioning, Coupling and Limits for Applications |
title_short |
CMEMS-Based Coastal Analyses: Conditioning, Coupling and Limits for Applications |
title_full |
CMEMS-Based Coastal Analyses: Conditioning, Coupling and Limits for Applications |
title_fullStr |
CMEMS-Based Coastal Analyses: Conditioning, Coupling and Limits for Applications |
title_full_unstemmed |
CMEMS-Based Coastal Analyses: Conditioning, Coupling and Limits for Applications |
title_sort |
cmems-based coastal analyses: conditioning, coupling and limits for applications |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Marine Science |
issn |
2296-7745 |
publishDate |
2021-03-01 |
description |
Recent advances in numerical modeling, satellite data, and coastal processes, together with the rapid evolution of CMEMS products and the increasing pressures on coastal zones, suggest the timeliness of extending such products toward the coast. The CEASELESS EU H2020 project combines Sentinel and in-situ data with high-resolution models to predict coastal hydrodynamics at a variety of scales, according to stakeholder requirements. These predictions explicitly introduce land discharges into coastal oceanography, addressing local conditioning, assimilation memory and anisotropic error metrics taking into account the limited size of coastal domains. This article presents and discusses the advances achieved by CEASELESS in exploring the performance of coastal models, considering model resolution and domain scales, and assessing error generation and propagation. The project has also evaluated how underlying model uncertainties can be treated to comply with stakeholder requirements for a variety of applications, from storm-induced risks to aquaculture, from renewable energy to water quality. This has led to the refinement of a set of demonstrative applications, supported by a software environment able to provide met-ocean data on demand. The article ends with some remarks on the scientific, technical and application limits for CMEMS-based coastal products and how these products may be used to drive the extension of CMEMS toward the coast, promoting a wider uptake of CMEMS-based predictions. |
topic |
oceanography coastal and regional coupled models sentinel data downscaling coastal ocean applications |
url |
https://www.frontiersin.org/articles/10.3389/fmars.2021.604741/full |
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