Abstract
An overview of the current European capacity in terms of operational modelling of marine and coastal systems is presented. This overview is compiled from a survey conducted in 2018-2019 among members of EuroGOOS and its related network of Regional Operational Oceanographic Systems, addressing the purposes, context and technical specificities of operational modelling systems. Contributions to the survey were received from 38 organizations around Europe, which represent 84 operational model systems simulating mostly hydrodynamics, biogeochemistry and sea waves. The analysis of contributions highlights the strengths and weaknesses of the current capacity from an operational point of view, and leads to the formulation of recommendations towards the improvement of marine operational modelling services in Europe. In particular, this study highlights the heterogeneity of the European operational modelling capacity in terms of atmospheric and land boundary conditions, its limited deployment for biogeochemical phenomena, and a restricted use of data assimilation methods. In order to improve the accuracy of their simulations, model operators aim towards a further refinement of spatial resolution, and identify the quality and accessibility of forcing data and the suitability of observations for data assimilation as restricting factors. The described issues call for institutional integration efforts and promotion of good practices to homogenize operational marine model implementations, and to ensure that external forcing datasets, observation networks and process formulations and parameterizations are adequately developed to enable the deployment of high-level operational marine and coastal modelling services across Europe.
Highlights
Numerical ocean and coastal modeling is one of the key pillars of the operational oceanography value chain
We draw a number of recommendations, and proposed actions, to foster the marine and coastal operational modeling capacity in Europe based on the previous discussions
Great integration efforts in operational oceanography have been made within Regional Operational Oceanography Systems (ROOSes) and EuroGOOS communities, the survey shows clear inhomogeneity in operational modeling capacity
Summary
Numerical ocean and coastal modeling is one of the key pillars of the operational oceanography value chain. Operational Oceanography is defined as the set of activities for the generation of products and services providing actionable information on the marine and coastal environment, designed to fulfill societal and scientific needs (Malone and Cole, 2000; Zhu, 2011; Kourafalou et al, 2015a,b; Liu et al, 2015; Schiller et al, 2018). Those activities, that range from the routine collection of in-situ and satellite ocean observations, near real time data processing and dissemination, and ocean state forecast and reanalysis, are densely interlinked. Those objectives are set according to regional and/or sectorial information needs, for instance on given phenomena of interests, or on particular temporal and spatial scales
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