Forecasting and Observing the Open-to-Coastal Ocean for Copernicus Users (FOCCUS)

Part of EU Open Research Repository
Published June 30, 2025 | Version 1.0
Project deliverable Open

D8.1 Inventory of Applications

Creators

  • 1. ROR icon CMCC Foundation - Euro-Mediterranean Center on Climate Change
  • 2. ROR icon Deltares
  • 3. ROR icon Institute of Natural Sciences
  • 4. EDMO icon Helmholtz-Zentrum Hereon GmbH
  • 5. ROR icon Helmholtz-Zentrum Hereon
  • 6. ROR icon Norwegian Meteorological Institute
  • 7. ROR icon Balearic Islands Coastal Observing and Forecasting System
  • 8. ROR icon Service Hydrographique et Océanographique de la Marine
  • 9. ROR icon Danish Meteorological Institute
  • 10. CoLAB +ATLANTIC
  • 11. CoLAB +Atlantic
  • 12. EDMO icon Maritime Hydrographic Directorate
  • 13. ROR icon Brockmann Consult (Germany)
  • 14. ROR icon National Research Council
  • 15. SMHI

Description

This report focuses on demonstrating the usefulness of the advancements in the observing and modelling systems through the co-design of applications, which aid three Environmental and Societal Challenges (ESCs). This report provides an overview of the various applications designed as part of each ESC:
- Design of applications to better manage and protect the coastal area (ESC 1).
- Design of applications to enhance the blue economy (ESC 2).
- Design of application related to natural and anthropogenic hazards and resilience to climate change (ESC 3).
The report is divided into two sections, where each subsection in Section 2 maps the individual applications dedicated to a specific ESC. Each application description outlines the application objective, the usage and value of observations, land-ocean models and Member State Coastal System improvements, the expected outputs, fit for purpose validation and end users. Section 3 describes the next steps and common challenges which will be given attention.

Files

D8.1_Inventory_of_Applications_v1.0.pdf

Files (9.3 MB)

Name Size Download all
md5:a24de7877cda81cfa0fad77e4b276827
9.3 MB Preview Download

Additional details

Funding

European Commission
FOCCUS - Forecasting and observing the open-to-coastal ocean for Copernicus users 101133911

References

  • Berg, P., Weismann Poulsen, J. (2012). Implementation details for HBM. DMI Technical Report No. 12-11. Copenhagen, 149 pp. (Available at: www.dmi.dk/fileadmin/ Rapporter/TR/tr12-11.pdf).
  • Cornacchia, L., Dols, F., Troost, T., Stechele, B., Lavaud, R., Rienstra, J., Ziemba, A., van Duren, L., Vilmin, L., Schneider, L., Heye, S., Lim, J., Meszaros, L., & El Serafy, G. (2024, April 10). Shellfish aquaculture in the North Sea: Production potential and impacts on carbon cycle. https://doi.org/10.5281/zenodo.11620977
  • Couderc, F., Duran, A., Vila, J.-P. (2017). An explicit asymptotic preserving low Froude scheme for the multilayer shallow water model with density stratification. Journal of Computational Physics 343 (Supplement C) (2017) 235 – 270. https://doi.org/10.1016/j.jcp.2017.04.018
  • Dalrymple, R. A., Kirby, J. T., & Hwang, P. A. (1984). Wave diffraction due to areas of energy dissipation. Journal of waterway, port, coastal, and ocean engineering, 110(1), 67-79. https://doi.org/10.1061/(ASCE)0733-950X(1984)110:1(67
  • Dalsøren, S. B., Albretsen, J., & Asplin, L. (2020). New validation method for hydrodynamic fjord models applied in the Hardangerfjord, Norway. Estuarine, Coastal and Shelf Science, 246, 107028. https://doi.org/10.1016/j.ecss.2020.107028
  • Frishfelds, V., She, J., Murawski, J. (2025). On-demand coastal modelling with two-way nesting. Ocean Dynamics. 75. https://doi.org/10.1007/s10236-025-01670-x
  • Hobday, A. J., Alexander, L. V., Perkins, S. E., Smale, D. A., Straub, S. C., Oliver, E. C., ... & Wernberg, T. (2016). A hierarchical approach to defining marine heatwaves. Progress in oceanography, 141, 227-238. https://doi.org/10.1016/j.pocean.2015.12.014
  • Irazoqui Apecechea M., Melet A. and Armaroli C. (2023) Towards a pan-European coastal flood awareness system: Skill of extreme sea-level forecasts from the Copernicus Marine Service. Front. Mar. Sci. 9:1091844. https://doi.org/10.3389/fmars.2022.1091844
  • Juza, M., Fernández-Mora, À., & Tintoré, J. (2022). Sub-regional marine heat waves in the Mediterranean Sea from observations: long-term surface changes, sub-surface and coastal responses. Frontiers in Marine Science, 9, 785771. https://doi.org/10.3389/fmars.2022.785771
  • Lenhart, H., A. Blauw, X. Desmit, L. Fernand, R. Friedland, B. Heyden, O. Kerimoglu, G. Lacroix, A. van der Linden, J. van der Molen, M. Plus, T. Prins, I. Ruvalcaba Baroni, T. Silva, C. Stegert, D. Thewes, T. Troost, L. Vilmin and S. van Leeuwen (2022). ICG-EMO report on model comparison for historical scenarios as basis to derive new threshold values. London, OSPAR, Publication Number: 895/2022. Available at: https://www.ospar.org/documents?v=48846
  • Lyard, F., Allain, D., Cancet, M., Carrère, L., Picot, N. (2021). FES2014 global ocean tide atlas: design and performance. Ocean Sci., 17, 615-649. https://doi.org/10.5194/os-17-615-2021
  • Mendez, F. J., & Losada, I. J. (2004). An empirical model to estimate the propagation of random breaking and nonbreaking waves over vegetation fields. Coastal Engineering, 51(2), 103-118. https://doi.org/10.1016/j.coastaleng.2003.11.003
  • Murawski, J., She, J., Mohn, C., Frishfelds, V., Nielsen, J. W., (2021) Ocean Circulation Model Applications for the Estuary-Coastal-Open Sea Continuum. Front. Mar. Sci., Sec. Coastal Ocean Processes, Volume 8 – 2021, https://doi.org/10.3389/fmars.2021.657720
  • Nechad, B., Ruddick, K. G., & Park, Y. (2010). Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters. Remote Sensing of Environment, 114(4), 854–866. https://doi.org/10.1016/j.rse.2009.11.022
  • Pein, J., Eisele, A., Sanders, T., Daewel, U., Stanev, E. V., Van Beusekom, J. E., ... & Schrum, C. (2021). Seasonal stratification and biogeochemical turnover in the freshwater reach of a partially mixed dredged estuary. Frontiers in Marine Science, 8, 623714. https://doi.org/10.3389/fmars.2021.623714
  • Pillai, U. P. A., Pinardi, N., Alessandri, J., Federico, I., Causio, S., Unguendoli, S., ... & Staneva, J. (2022). A Digital Twin modelling framework for the assessment of seagrass Nature Based Solutions against storm surges. Science of the Total Environment, 847, 157603. https://doi.org/10.1016/j.scitotenv.2022.157603
  • Pinto, L., Fortunato, A. B., Zhang, Y., Oliveira, A., & Sancho, F. E. P. (2012). Development and validation of a three-dimensional morphodynamic modelling system for non-cohesive sediments. Ocean Modelling, 57, 1-14.https://doi.org/10.1016/j.ocemod.2012.08.005
  • Prins, T., Blauw, Anouk., Vilmin, L., van der Heijden, L., Sonia, H., & Lora, B. (2023). Modelling of nutrient load scenarios and transboundary nutrient transport (Nos. 11209731-000-ZKS-0003; p. 69). Available at: https://publications.deltares.nl/11209731_000_0003.pdf
  • Roberts, K.J., Pringle, W.J., Westerink, J.J., Contreras, M.T., Wirasaet, D. (2019). On the automatic and a priori design of unstructured mesh resolution for coastal ocean circulation models. Ocean Modelling, 144, 101509. https://doi.org/10.1016/j.ocemod.2019.101509
  • Roland, A., Zhang, Y. J., Wang, H. V., Meng, Y., Teng, Y. C., Maderich, V., ... & Zanke, U. (2012). A fully coupled 3D wave‐current interaction model on unstructured grids. Journal of Geophysical Research: Oceans, 117(C11).https://doi.org/10.1029/2012JC007952
  • Van Lancker et al. (2024) Challenges in seafloor integrity and hydrographic conditions, towards a spatio-temporal assessment at BPNS scale. In: Proceedings of the conference "study day "Gold in the North Sea: the importance of marine sand and innovations in terms of monitoring and research", Ostend, 18 Octobre 2024. https://economie.fgov.be/sites/default/files/Files/Entreprises/Sand/Seminar-2024-gold-north-sea-M onitoring-report-2021-2024.pdf
  • van Leeuwen, S.M., H.-J. Lenhart, T.C. Prins, A. Blauw, X. Desmit, L. Fernand, R. Friedland, O. Kerimoglu, G. Lacroix, A. van der Linden, A. Lefebvre, J. van der Molen, M. Plus, I. Ruvalcaba Baroni, T. Silva, C. Stegert, T.A. Troost and L. Vilmin (2023). Deriving pre-eutrophic conditions from an ensemble model approach for the North-West European seas. Frontiers in Marine Science https://doi.org/10.3389/fmars.2023.1129951.
  • Zhang, Y. J., Ye, F., Stanev, E. V., & Grashorn, S. (2016). Seamless cross-scale modeling with SCHISM. Ocean Modelling, 102, 64-81.https://doi.org/10.1016/j.ocemod.2016.05.002
  • Yamaguchi, M.: Approximate expressions for integral properties of the JONSWAP spectrum, Doboku Gakkai Ronbunshu, 1984, 149–152, 1984.