Articles | Volume 15, issue 6
https://doi.org/10.5194/os-15-1489-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-15-1489-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Nov 2019
Research article |
| 15 Nov 2019
| 15 Nov 2019
Modelling the marine ecosystem of Iberia–Biscay–Ireland (IBI) European waters for CMEMS operational applications
Elodie Gutknecht
CORRESPONDING AUTHOR
Mercator Ocean, Parc Technologique du Canal, 8–10 rue Hermes, 31520
Ramonville-Saint-Agne, France
Guillaume Reffray
Mercator Ocean, Parc Technologique du Canal, 8–10 rue Hermes, 31520
Ramonville-Saint-Agne, France
Alexandre Mignot
Mercator Ocean, Parc Technologique du Canal, 8–10 rue Hermes, 31520
Ramonville-Saint-Agne, France
Tomasz Dabrowski
Marine Institute, Rinville, Oranmore, Co. Galway, H91 R673, Ireland
Marcos G. Sotillo
Puertos del Estado, Av. Partenón, 10, 28042 Madrid, Spain
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- High-dimensional parameter optimization of a biogeochemical model: a multi-variable BGC-Argo data assimilation approach Q. Hyvernat et al. https://doi.org/10.5194/bg-23-4967-2026
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- A Regional Operational Model for the North East Atlantic: Model Configuration and Validation H. Nagy et al. https://doi.org/10.3390/jmse8090673
- Black coral forests enhance taxonomic and functional distinctiveness of mesophotic fishes in an oceanic island: implications for biodiversity conservation N. Bosch et al. https://doi.org/10.1038/s41598-023-32138-x
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- Hybrid machine learning data assimilation for marine biogeochemistry I. Higgs et al. https://doi.org/10.5194/bg-23-315-2026
20 citations as recorded by crossref.
- A comprehensive analysis of retrieving optically inactive indicators from multi-level remote sensing product(s) in Irish waters using data science techniques A. Sajib et al. https://doi.org/10.1016/j.watres.2026.125766
- The Irish Atlantic CoCliME case study configuration, validation and application of a downscaled ROMS ocean climate model off SW Ireland H. Nagy et al. https://doi.org/10.1016/j.hal.2021.102053
- Control of simulated ocean ecosystem indicators by biogeochemical observations S. Ciavatta et al. https://doi.org/10.1016/j.pocean.2024.103384
- Long-term biogeochemical variations in the southern South China Sea and adjacent seas: A model data analysis W. Marshal et al. https://doi.org/10.1016/j.seares.2025.102573
- A Glider View of the Spreading and Mixing Processes of Antarctic Intermediate Water in the Northeastern Subtropical Atlantic J. Jiménez-Rincón et al. https://doi.org/10.3390/jmse11030576
- Using machine learning and Biogeochemical-Argo (BGC-Argo) floats to assess biogeochemical models and optimize observing system design A. Mignot et al. https://doi.org/10.5194/bg-20-1405-2023
- Influence of the solar penetration depth and heat-fluxes on the sea surface temperature using an ocean mixed layer model H. Gupta et al. https://doi.org/10.1016/j.rsma.2024.103551
- Assessment of the Offshore Migration of Mussel Production Based on an Aquaculture Similarity Index (ASI) N. deCastro et al. https://doi.org/10.3390/jmse13101869
- Operational Inundation and Water Quality Forecasting in Transitional Waters: Lessons from the Tagus Estuary, Portugal M. Rodrigues et al. https://doi.org/10.3390/jmse13091668
- High-dimensional parameter optimization of a biogeochemical model: a multi-variable BGC-Argo data assimilation approach Q. Hyvernat et al. https://doi.org/10.5194/bg-23-4967-2026
- Assessment of a regional physical–biogeochemical stochastic ocean model. Part 2: Empirical consistency V. Vervatis et al. https://doi.org/10.1016/j.ocemod.2021.101770
- A Regional Operational Model for the North East Atlantic: Model Configuration and Validation H. Nagy et al. https://doi.org/10.3390/jmse8090673
- Black coral forests enhance taxonomic and functional distinctiveness of mesophotic fishes in an oceanic island: implications for biodiversity conservation N. Bosch et al. https://doi.org/10.1038/s41598-023-32138-x
- Correlation of phytoplankton satellite observations and radiological doses in molluscs S. Hurtado-Bermúdez et al. https://doi.org/10.1016/j.marpolbul.2021.112911
- Development of a forecast-oriented kilometre-resolution ocean–atmosphere coupled system for western Europe and sensitivity study for a severe weather situation J. Pianezze et al. https://doi.org/10.5194/nhess-22-1301-2022
- On the use of ABACUS high resolution glider observations for the assessment of phytoplankton ocean biomass from CMEMS model products G. Aulicino et al. https://doi.org/10.1016/j.ecolmodel.2021.109619
- Middle Miocene Temperature and Productivity Evolution at a Northeast Atlantic Shelf Site (IODP U1318, Porcupine Basin): Global and Regional Changes F. Sangiorgi et al. https://doi.org/10.1029/2020PA004059
- High-Resolution Reanalysis of the Mediterranean Sea Biogeochemistry (1999–2019) G. Cossarini et al. https://doi.org/10.3389/fmars.2021.741486
- Net primary production annual maxima in the North Atlantic projected to shift in the 21st century J. Hieronymus et al. https://doi.org/10.5194/bg-21-2189-2024
- Hybrid machine learning data assimilation for marine biogeochemistry I. Higgs et al. https://doi.org/10.5194/bg-23-315-2026
Saved (final revised paper)
Latest update: 27 Jul 2026
Short summary
As part of the Copernicus Marine Environment Monitoring Service, an operational ocean forecasting system monitors the ocean dynamics and marine ecosystems of the European waters. This paper assesses the performance of the key biogeochemical variables (oxygen, nutrients, Chl a, primary production) using a 7-year pre-operational qualification simulation (2010–2016). The simulation can be used to better understand the current state, the changes and the health of European marine ecosystems.
As part of the Copernicus Marine Environment Monitoring Service, an operational ocean...
