Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-363-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-12-363-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications
Robinson Hordoir
CORRESPONDING AUTHOR
Institute of Marine Research, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Lars Axell
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Anders Höglund
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Christian Dieterich
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Filippa Fransner
Department of Meteorology, Stockholm University and Bolin Centre for Climate Research, Stockholm, Sweden
Geophysical Institute, Bergen University, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Matthias Gröger
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Ye Liu
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Per Pemberton
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Semjon Schimanke
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Helen Andersson
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Patrik Ljungemyr
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Petter Nygren
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Saeed Falahat
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Adam Nord
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Anette Jönsson
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Iréne Lake
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Kristofer Döös
Department of Meteorology, Stockholm University and Bolin Centre for Climate Research, Stockholm, Sweden
Magnus Hieronymus
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Heiner Dietze
GEOMAR, Helmholtz Centre for Ocean Research, Kiel, Germany
Ulrike Löptien
GEOMAR, Helmholtz Centre for Ocean Research, Kiel, Germany
Ivan Kuznetsov
Institute of Coastal Research, Helmholtz-Zentrum, Geesthacht, Germany
Antti Westerlund
Finnish Meteorological Institute, Helsinki, Finland
Laura Tuomi
Finnish Meteorological Institute, Helsinki, Finland
Jari Haapala
Finnish Meteorological Institute, Helsinki, Finland
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- Higher quantiles of sea levels rise faster in Baltic Sea Climate projections C. Dieterich & H. Radtke 10.1007/s00382-023-07094-x
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- Long-term mean, interannual and seasonal circulation in the Gulf of Finland — The wide salt wedge estuary or gulf type ROFI I. Maljutenko & U. Raudsepp 10.1016/j.jmarsys.2019.03.004
- Towards realistic dynamic topography from coast to offshore by incorporating hydrodynamic and geoid models V. Jahanmard et al. 10.1016/j.ocemod.2022.102124
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- Formation and Dynamics of a Coherent Coastal Freshwater Influenced System B. Barton et al. 10.1029/2023EA002872
- Marine fungi of the Baltic Sea S. Tibell et al. 10.1080/21501203.2020.1729886
- Effects of Wave-Induced Processes in a Coupled Wave–Ocean Model on Particle Transport Simulations J. Staneva et al. 10.3390/w13040415
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- Reconstruction of Baltic Gridded Sea Levels from Tide Gauge and Altimetry Observations Using Spatiotemporal Statistics from Reanalysis J. Elken et al. 10.3390/rs16152702
- Implementation and assessment of a flux limiter based wetting and drying scheme in NEMO E. O’Dea et al. 10.1016/j.ocemod.2020.101708
- On the Application of Machine Learning Techniques to Regression Problems in Sea Level Studies M. Hieronymus et al. 10.1175/JTECH-D-19-0033.1
5 citations as recorded by crossref.
- The Baltic Sea Model Intercomparison Project (BMIP) – a platform for model development, evaluation, and uncertainty assessment M. Gröger et al. 10.5194/gmd-15-8613-2022
- Constructing a social vulnerability index for flooding: insights from a municipality in Sweden M. Englund et al. 10.3389/fclim.2023.1038883
- The effects of mean sea level rise and strengthened winds on extreme sea levels in the Baltic Sea M. Hieronymus et al. 10.1016/j.taml.2018.06.008
- Argo Floats as a Novel Part of the Monitoring the Hydrography of the Bothnian Sea N. Haavisto et al. 10.3389/fmars.2018.00324
- Baltic Sea Operational Oceanography—A Stimulant for Regional Earth System Research J. She et al. 10.3389/feart.2020.00007
Latest update: 03 Nov 2024
Short summary
Nemo-Nordic is a regional ocean model based on a community code (NEMO). It covers the Baltic and the North Sea area and is used as a forecast model by the Swedish Meteorological and Hydrological Institute. It is also used as a research tool by scientists of several countries to study, for example, the effects of climate change on the Baltic and North seas. Using such a model permits us to understand key processes in this coastal ecosystem and how such processes will change in a future climate.
Nemo-Nordic is a regional ocean model based on a community code (NEMO). It covers the Baltic and...
Special issue