Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3901-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-3901-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
13 May 2022
Model description paper |
| 13 May 2022
| 13 May 2022
ECOSMO II(CHL): a marine biogeochemical model for the North Atlantic and the Arctic
Veli Çağlar Yumruktepe
CORRESPONDING AUTHOR
Nansen Environmental and Remote Sensing Center, Jahnebakken 3, 5007, Bergen, Norway
Annette Samuelsen
Nansen Environmental and Remote Sensing Center, Jahnebakken 3, 5007, Bergen, Norway
Ute Daewel
Helmholtz-Zentrum Hereon, Institute for Coastal Systems – Analysis
and Modelling, Max-Planck-Str. 1, Geesthacht, Germany
Viewed
Total article views: 4,398 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Nov 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,823 | 1,435 | 140 | 4,398 | 117 | 180 |
- HTML: 2,823
- PDF: 1,435
- XML: 140
- Total: 4,398
- BibTeX: 117
- EndNote: 180
Total article views: 3,050 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 May 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,837 | 1,103 | 110 | 3,050 | 99 | 161 |
- HTML: 1,837
- PDF: 1,103
- XML: 110
- Total: 3,050
- BibTeX: 99
- EndNote: 161
Total article views: 1,348 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Nov 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 986 | 332 | 30 | 1,348 | 18 | 19 |
- HTML: 986
- PDF: 332
- XML: 30
- Total: 1,348
- BibTeX: 18
- EndNote: 19
Viewed (geographical distribution)
Total article views: 4,398 (including HTML, PDF, and XML)
Thereof 4,251 with geography defined
and 147 with unknown origin.
Total article views: 3,050 (including HTML, PDF, and XML)
Thereof 2,955 with geography defined
and 95 with unknown origin.
Total article views: 1,348 (including HTML, PDF, and XML)
Thereof 1,296 with geography defined
and 52 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
18 citations as recorded by crossref.
- NorESM-bcoi-v1: A bias-corrected reanalysis of ocean biogeochemistry at > 40° N, 1980–2020, based on a global ocean model hindcast P. Wallhead et al. https://doi.org/10.5194/essd-17-6763-2025
- Seasonality and drivers of water column optical properties on the northwestern Barents Sea shelf H. Sandven et al. https://doi.org/10.1016/j.pocean.2023.103076
- Model-based assessment of sustainable adaptation options for an industrialised meso‑tidal estuary J. Pein et al. https://doi.org/10.1016/j.ocemod.2024.102467
- Bridging the gap: integrating models and observations for better ecosystem understanding M. Skogen et al. https://doi.org/10.3354/meps14616
- MET-AICE v1.0: an operational data-driven sea ice prediction system for the European Arctic C. Palerme et al. https://doi.org/10.5194/gmd-18-9751-2025
- Control of simulated ocean ecosystem indicators by biogeochemical observations S. Ciavatta et al. https://doi.org/10.1016/j.pocean.2024.103384
- HYCOM-ECOSMO for the Indian Ocean: a simulation of oxygen minimum zone variability over the last two decades S. Akash et al. https://doi.org/10.1007/s10872-025-00744-0
- Effectiveness of estuarine adaptation strategies under future climate conditions J. Pein & J. Staneva https://doi.org/10.1038/s41598-026-43040-7
- Modelling primary production: multitude of theories, or multitude of languages? J. Skákala et al. https://doi.org/10.5194/os-22-1457-2026
- Estimates of carbon sequestration potential in an expanding Arctic fjord (Hornsund, Svalbard) affected by dark plumes of glacial meltwater M. Szeligowska et al. https://doi.org/10.5194/bg-21-3617-2024
- Assessing net primary production in the northwestern Barents Sea using in situ, remote sensing and modelling approaches L. Castro de la Guardia et al. https://doi.org/10.1016/j.pocean.2023.103160
- Simulation of the Land and Ocean Carbon Cycle with the INM-CM6 Earth System Model A. Chernenkov et al. https://doi.org/10.3103/S1068373925090067
- Eutrophication hotspots, nitrogen fluxes and climate impacts in estuarine ecosystems: A model study of the Odra estuary system J. Pein & J. Staneva https://doi.org/10.1007/s10236-024-01607-w
- Biological pump model for water column as a part of Earth-system model I. Chernov et al. https://doi.org/10.1051/bioconf/202414103015
- Barotropic and baroclinic tides increase primary production on the Northwest European Shelf J. Kossack et al. https://doi.org/10.3389/fmars.2023.1206062
- An along-track Biogeochemical Argo modelling framework: a case study of model improvements for the Nordic seas V. Yumruktepe et al. https://doi.org/10.5194/gmd-16-6875-2023
- Revealing the seasonal cycles of Arctic phytoplankton: insights from year-round chlorophyll monitoring E. Ko et al. https://doi.org/10.1088/1748-9326/ad1e7e
- EAT v1.0.0: a 1D test bed for physical–biogeochemical data assimilation in natural waters J. Bruggeman et al. https://doi.org/10.5194/gmd-17-5619-2024
18 citations as recorded by crossref.
- NorESM-bcoi-v1: A bias-corrected reanalysis of ocean biogeochemistry at > 40° N, 1980–2020, based on a global ocean model hindcast P. Wallhead et al. https://doi.org/10.5194/essd-17-6763-2025
- Seasonality and drivers of water column optical properties on the northwestern Barents Sea shelf H. Sandven et al. https://doi.org/10.1016/j.pocean.2023.103076
- Model-based assessment of sustainable adaptation options for an industrialised meso‑tidal estuary J. Pein et al. https://doi.org/10.1016/j.ocemod.2024.102467
- Bridging the gap: integrating models and observations for better ecosystem understanding M. Skogen et al. https://doi.org/10.3354/meps14616
- MET-AICE v1.0: an operational data-driven sea ice prediction system for the European Arctic C. Palerme et al. https://doi.org/10.5194/gmd-18-9751-2025
- Control of simulated ocean ecosystem indicators by biogeochemical observations S. Ciavatta et al. https://doi.org/10.1016/j.pocean.2024.103384
- HYCOM-ECOSMO for the Indian Ocean: a simulation of oxygen minimum zone variability over the last two decades S. Akash et al. https://doi.org/10.1007/s10872-025-00744-0
- Effectiveness of estuarine adaptation strategies under future climate conditions J. Pein & J. Staneva https://doi.org/10.1038/s41598-026-43040-7
- Modelling primary production: multitude of theories, or multitude of languages? J. Skákala et al. https://doi.org/10.5194/os-22-1457-2026
- Estimates of carbon sequestration potential in an expanding Arctic fjord (Hornsund, Svalbard) affected by dark plumes of glacial meltwater M. Szeligowska et al. https://doi.org/10.5194/bg-21-3617-2024
- Assessing net primary production in the northwestern Barents Sea using in situ, remote sensing and modelling approaches L. Castro de la Guardia et al. https://doi.org/10.1016/j.pocean.2023.103160
- Simulation of the Land and Ocean Carbon Cycle with the INM-CM6 Earth System Model A. Chernenkov et al. https://doi.org/10.3103/S1068373925090067
- Eutrophication hotspots, nitrogen fluxes and climate impacts in estuarine ecosystems: A model study of the Odra estuary system J. Pein & J. Staneva https://doi.org/10.1007/s10236-024-01607-w
- Biological pump model for water column as a part of Earth-system model I. Chernov et al. https://doi.org/10.1051/bioconf/202414103015
- Barotropic and baroclinic tides increase primary production on the Northwest European Shelf J. Kossack et al. https://doi.org/10.3389/fmars.2023.1206062
- An along-track Biogeochemical Argo modelling framework: a case study of model improvements for the Nordic seas V. Yumruktepe et al. https://doi.org/10.5194/gmd-16-6875-2023
- Revealing the seasonal cycles of Arctic phytoplankton: insights from year-round chlorophyll monitoring E. Ko et al. https://doi.org/10.1088/1748-9326/ad1e7e
- EAT v1.0.0: a 1D test bed for physical–biogeochemical data assimilation in natural waters J. Bruggeman et al. https://doi.org/10.5194/gmd-17-5619-2024
Saved (final revised paper)
Latest update: 28 May 2026
Short summary
We describe the coupled bio-physical model ECOSMO II(CHL), which is used for regional configurations for the North Atlantic and the Arctic hind-casting and operational purposes. The model is consistent with the large-scale climatological nutrient settings and is capable of representing regional and seasonal changes, and model primary production agrees with previous measurements. For the users of this model, this paper provides the underlying science, model evaluation and its development.
We describe the coupled bio-physical model ECOSMO II(CHL), which is used for regional...
