Coastal modelling and uncertainties based on CMEMS products
Coastal modelling and uncertainties based on CMEMS products
Editor(s): J. M. Huthnance, A. Sánchez-Arcilla, J. Staneva, and M. Espino Infantes
This special issue deals with physical coastal oceanography, involving modelling, in situ observations, and satellite data. This is the aim of the H2020 CEASELESS project from which the papers stem. The aim of the special issue is to achieve, based on CMEMS products, a high-grade set of coastal oceanography predictions suitable for dealing with the increases in pressures and conflicting uses typical of the narrow land–water border.

The issue will tackle the enhanced resolution and prediction capabilities for meteorological and oceanographic variables at coastal scales that allow coupling and assimilation at an unprecedented level of resolution, including a new wealth of satellite data (with an emphasis on the Sentinel family). This is in line with new coastal zone products and requirements (e.g. wind profiles for renewable energy) and applications (e.g. coastal water quality for aquaculture or tourism) that prompt new advances in coastal oceanography such as the ones presented here. The papers included in this issue deal with the assimilation required by wave fields using new observational capabilities together with a synergy between satellite observations and wave model simulations during extreme events, the ones associated with higher levels of damage and therefore risks in coastal areas. There are also detailed analyses of the boundary layer between air and sea and how that affects wave simulations or the inter-comparison of different altimeter data sets and how they present distinctive features depending on their distance to the coast. This is followed by some applications of aforementioned results to coastal sediment transport and water quality properties plus the associated prediction limits in regional high-resolution modelling systems. The collection ends with a process-based definition of the coastal zone transitional area, with implications for nesting and downscaling as well as of the design of further observational campaigns. The issue is also open to other relevant submissions within the stated general scope.

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10 Apr 2019
Wave boundary layer model in SWAN revisited
Jianting Du, Rodolfo Bolaños, Xiaoli Guo Larsén, and Mark Kelly
Ocean Sci., 15, 361–377,,, 2019
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26 Mar 2019
Characterization of bottom sediment resuspension events observed in a micro-tidal bay
Manel Grifoll, Pablo Cerralbo, Jorge Guillén, Manuel Espino, Lars Boye Hansen, and Agustín Sánchez-Arcilla
Ocean Sci., 15, 307–319,,, 2019
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13 Mar 2019
A multi-collocation method for coastal zone observations with applications to Sentinel-3A altimeter wave height data
Johannes Schulz-Stellenfleth and Joanna Staneva
Ocean Sci., 15, 249–268,,, 2019
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05 Mar 2019
Accuracy of altimeter data in inner and coastal seas
Luigi Cavaleri, Luciana Bertotti, and Paolo Pezzutto
Ocean Sci., 15, 227–233,,, 2019
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04 Mar 2019
Use of a hydrodynamic model for the management of water renovation in a coastal system
Pablo Cerralbo, Marta F.-Pedrera Balsells, Marc Mestres, Margarita Fernandez, Manuel Espino, Manel Grifoll, and Agustin Sanchez-Arcilla
Ocean Sci., 15, 215–226,,, 2019
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12 Feb 2019
The land–sea coastal border: a quantitative definition by considering the wind and wave conditions in a wave-dominated, micro-tidal environment
Agustín Sánchez-Arcilla, Jue Lin-Ye, Manuel García-León, Vicente Gràcia, and Elena Pallarès
Ocean Sci., 15, 113–126,,, 2019
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07 Dec 2018
Synergy of wind wave model simulations and satellite observations during extreme events
Anne Wiese, Joanna Staneva, Johannes Schulz-Stellenfleth, Arno Behrens, Luciana Fenoglio-Marc, and Jean-Raymond Bidlot
Ocean Sci., 14, 1503–1521,,, 2018
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