Articles | Volume 11, issue 3
https://doi.org/10.5194/gmd-11-915-2018
© Author(s) 2018. 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-11-915-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht Zentrum
für Material- und Küstenforschung, 21502 Geesthacht, Germany
Richard Hofmeister
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht Zentrum
für Material- und Küstenforschung, 21502 Geesthacht, Germany
Institute for Hydrobiology and Fisheries Science, Universität Hamburg, 22767 Hamburg, Germany
Knut Klingbeil
Department of Physical Oceanography and Instrumentation,
Leibniz-Institute for Baltic Sea Research, 18119 Rostock-Warnemünde, Germany
now at: Department of Mathematics, University of Hamburg, 20146 Hamburg, Germany
M. Hassan Nasermoaddeli
Section Estuary Systems I, Bundesanstalt für Wasserbau, 22559 Hamburg, Germany
now at: Landesbetrieb Straßen, Brücken und Gewässer, Freie und Hansestadt Hamburg, 20097 Hamburg, Germany
Onur Kerimoglu
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht Zentrum
für Material- und Küstenforschung, 21502 Geesthacht, Germany
Hans Burchard
Department of Physical Oceanography and Instrumentation,
Leibniz-Institute for Baltic Sea Research, 18119 Rostock-Warnemünde, Germany
Frank Kösters
Section Estuary Systems I, Bundesanstalt für Wasserbau, 22559 Hamburg, Germany
Kai W. Wirtz
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht Zentrum
für Material- und Küstenforschung, 21502 Geesthacht, Germany
Viewed
Total article views: 6,350 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Jun 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,353 | 1,776 | 221 | 6,350 | 186 | 237 |
- HTML: 4,353
- PDF: 1,776
- XML: 221
- Total: 6,350
- BibTeX: 186
- EndNote: 237
Total article views: 5,185 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,778 | 1,206 | 201 | 5,185 | 170 | 219 |
- HTML: 3,778
- PDF: 1,206
- XML: 201
- Total: 5,185
- BibTeX: 170
- EndNote: 219
Total article views: 1,165 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Jun 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 575 | 570 | 20 | 1,165 | 16 | 18 |
- HTML: 575
- PDF: 570
- XML: 20
- Total: 1,165
- BibTeX: 16
- EndNote: 18
Viewed (geographical distribution)
Total article views: 6,350 (including HTML, PDF, and XML)
Thereof 6,087 with geography defined
and 263 with unknown origin.
Total article views: 5,185 (including HTML, PDF, and XML)
Thereof 4,958 with geography defined
and 227 with unknown origin.
Total article views: 1,165 (including HTML, PDF, and XML)
Thereof 1,129 with geography defined
and 36 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
16 citations as recorded by crossref.
- Toward Improved Model Capacities for Assessment of Climate Impacts on Coastal Bentho-Pelagic Food Webs and Ecosystem Services S. Horn et al.
- Less Nutrients but More Phytoplankton: Long-Term Ecosystem Dynamics of the Southern North Sea X. Xu et al.
- The large-scale impact of offshore wind farm structures on pelagic primary productivity in the southern North Sea K. Slavik et al.
- Evaluating Uncertainties in Reconstructing the Pre-eutrophic State of the North Sea C. Stegert et al.
- Toward modular in situ visualization in Earth system models: the regional modeling system RegESM 1.1 U. Turuncoglu
- Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al.
- Identifying and addressing the components of extreme physical-oceanographical events for improved risk management in coastal systems E. Achterberg et al.
- Unravelling cumulative effects of human pressures on demersal fish traits using a driver-pressure-state-impact framework J. Rehren et al.
- Hydrodynamic Control of Sediment‐Water Fluxes: Consistent Parameterization and Impact in Coupled Benthic‐Pelagic Models L. Umlauf et al.
- Coupling the regional climate model ICON-CLM v2.6.6 to the Earth system model GCOAST-AHOI v2.0 using OASIS3-MCT v4.0 H. Ho-Hagemann et al.
- ICONGETM v1.0 – flexible NUOPC-driven two-way coupling via ESMF exchange grids between the unstructured-grid atmosphere model ICON and the structured-grid coastal ocean model GETM T. Bauer et al.
- Thetis-SWAN: A Python-interfaced wave–current interactions coupled system A. Fragkou et al.
- Conservation potential of offshore windfarms for epibenthic invertebrates and fish communities in a heavily used regional sea W. Probst et al.
- Future cumulative effects on demersal fish in a transforming North Sea pressure landscape J. Rehren et al.
- Spatial Effects of Different Zebra Mussel Farming Strategies in an Eutrophic Baltic Lagoon R. Friedland et al.
- Modelling feedbacks between human and natural processes in the land system D. Robinson et al.
16 citations as recorded by crossref.
- Toward Improved Model Capacities for Assessment of Climate Impacts on Coastal Bentho-Pelagic Food Webs and Ecosystem Services S. Horn et al.
- Less Nutrients but More Phytoplankton: Long-Term Ecosystem Dynamics of the Southern North Sea X. Xu et al.
- The large-scale impact of offshore wind farm structures on pelagic primary productivity in the southern North Sea K. Slavik et al.
- Evaluating Uncertainties in Reconstructing the Pre-eutrophic State of the North Sea C. Stegert et al.
- Toward modular in situ visualization in Earth system models: the regional modeling system RegESM 1.1 U. Turuncoglu
- Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al.
- Identifying and addressing the components of extreme physical-oceanographical events for improved risk management in coastal systems E. Achterberg et al.
- Unravelling cumulative effects of human pressures on demersal fish traits using a driver-pressure-state-impact framework J. Rehren et al.
- Hydrodynamic Control of Sediment‐Water Fluxes: Consistent Parameterization and Impact in Coupled Benthic‐Pelagic Models L. Umlauf et al.
- Coupling the regional climate model ICON-CLM v2.6.6 to the Earth system model GCOAST-AHOI v2.0 using OASIS3-MCT v4.0 H. Ho-Hagemann et al.
- ICONGETM v1.0 – flexible NUOPC-driven two-way coupling via ESMF exchange grids between the unstructured-grid atmosphere model ICON and the structured-grid coastal ocean model GETM T. Bauer et al.
- Thetis-SWAN: A Python-interfaced wave–current interactions coupled system A. Fragkou et al.
- Conservation potential of offshore windfarms for epibenthic invertebrates and fish communities in a heavily used regional sea W. Probst et al.
- Future cumulative effects on demersal fish in a transforming North Sea pressure landscape J. Rehren et al.
- Spatial Effects of Different Zebra Mussel Farming Strategies in an Eutrophic Baltic Lagoon R. Friedland et al.
- Modelling feedbacks between human and natural processes in the land system D. Robinson et al.
Saved (final revised paper)
Latest update: 29 Apr 2026
Short summary
To describe coasts in a computer model, many processes have to be represented, from the air to the water to the ocean floor, from different scientific disciplines. No existing computer model adequately addresses this complexity. We present the Modular System for Shelves and Coasts (MOSSCO), which embraces this diversity and flexibly connects several tens of individual process models. MOSSCO also makes it easier to bring local knowledge to the Earth system level.
To describe coasts in a computer model, many processes have to be represented, from the air to...