Articles | Volume 10, issue 8
https://doi.org/10.5194/gmd-10-3105-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/gmd-10-3105-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
22 Aug 2017
Development and technical paper |
| 22 Aug 2017
Sea-ice evaluation of NEMO-Nordic 1.0: a NEMO–LIM3.6-based ocean–sea-ice model setup for the North Sea and Baltic Sea
Per Pemberton
CORRESPONDING AUTHOR
Swedish Meteorological and Hydrological Institute, 426 71 Gothenburg, Sweden
Ulrike Löptien
GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
Robinson Hordoir
Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
Anders Höglund
Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
Semjon Schimanke
Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
Lars Axell
Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
Jari Haapala
Finnish Meteorological Institute, 00101 Helsinki, Finland
Viewed
Total article views: 3,459 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Feb 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,249 | 1,093 | 117 | 3,459 | 137 | 147 | 139 |
- HTML: 2,249
- PDF: 1,093
- XML: 117
- Total: 3,459
- Supplement: 137
- BibTeX: 147
- EndNote: 139
Total article views: 2,664 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Aug 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,872 | 707 | 85 | 2,664 | 137 | 123 | 106 |
- HTML: 1,872
- PDF: 707
- XML: 85
- Total: 2,664
- Supplement: 137
- BibTeX: 123
- EndNote: 106
Total article views: 795 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 377 | 386 | 32 | 795 | 24 | 33 |
- HTML: 377
- PDF: 386
- XML: 32
- Total: 795
- BibTeX: 24
- EndNote: 33
Viewed (geographical distribution)
Total article views: 3,459 (including HTML, PDF, and XML)
Thereof 3,228 with geography defined
and 231 with unknown origin.
Total article views: 2,664 (including HTML, PDF, and XML)
Thereof 2,474 with geography defined
and 190 with unknown origin.
Total article views: 795 (including HTML, PDF, and XML)
Thereof 754 with geography defined
and 41 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
34 citations as recorded by crossref.
- Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. 10.5194/esd-12-939-2021
- Regime Shift in Annual Nitrate Concentration in the Upper Southern Chukchi Borderland Responded to the Westward Shift of the Beaufort Gyre C. Dong et al. 10.1029/2022JC018846
- Assessment of sea ice thickness simulations in the CMIP6 models with CICE components M. Xu & J. Li 10.3389/fmars.2023.1223772
- Arctic summer sea-ice seasonal simulation with a coupled model: Evaluation of mean features and biases P. Saheed et al. 10.1007/s12040-018-1043-z
- Critical aspects for collision induced oil spill response and recovery system in ice conditions: A model-based analysis L. Lu et al. 10.1016/j.jlp.2020.104198
- Comparisons of Satellite and Modeled Surface Temperature and Chlorophyll Concentrations in the Baltic Sea with In Situ Data M. Stramska et al. 10.3390/rs13153049
- Numerical Simulations of Sea Ice Conditions in the Baltic Sea for 2010–2016 Winters Using the 3D CEMBS Model M. Janecki et al. 10.2478/pomr-2018-0094
- Steric Oscillations of the Baltic Sea Level E. Zakharchuk et al. 10.2205/2023ES000846
- Copernicus Ocean State Report, issue 6 10.1080/1755876X.2022.2095169
- Nemo-Nordic 2.0: operational marine forecast model for the Baltic Sea T. Kärnä et al. 10.5194/gmd-14-5731-2021
- Copernicus Marine Service Ocean State Report, Issue 4 K. von Schuckmann et al. 10.1080/1755876X.2020.1785097
- Non‐Redfieldian Dynamics Explain Seasonal pCO2 Drawdown in the Gulf of Bothnia F. Fransner et al. 10.1002/2017JC013019
- High-Resolution Ecosystem Model of the Puck Bay (Southern Baltic Sea)—Hydrodynamic Component Evaluation D. Dybowski et al. 10.3390/w11102057
- Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al. 10.1080/1755876X.2021.1946240
- Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications R. Hordoir et al. 10.5194/gmd-12-363-2019
- On the Applicability of CMEMS Reanalysis Data for Investigation of the Cold Intermediate Layer in the South-Eastern Part of the Baltic Sea N. Stepanova & A. Mizyuk 10.1007/s00024-022-03130-9
- A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea L. Lu et al. 10.1016/j.marpolbul.2018.12.018
- Recent regime of persistent hypoxia in the Baltic Sea M. Kõuts et al. 10.1088/2515-7620/ac0cc4
- Sea-state contributions to sea-level variability in the European Seas A. Bonaduce et al. 10.1007/s10236-020-01404-1
- A state-of-the-art model for spatial and stochastic oil spill risk assessment: A case study of oil spill from a shipwreck P. Amir-Heidari et al. 10.1016/j.envint.2019.02.037
- A data mining method for automatic identification and analysis of icebreaker assistance operation in ice-covered waters C. Liu et al. 10.1016/j.oceaneng.2022.112914
- First Steps towards a near Real-Time Modelling System of Vibrio vulnificus in the Baltic Sea E. Schütt et al. 10.3390/ijerph20085543
- Remineralization rate of terrestrial DOC as inferred from CO<sub>2</sub> supersaturated coastal waters F. Fransner et al. 10.5194/bg-16-863-2019
- Interannual sea ice thickness variability in the Bay of Bothnia I. Ronkainen et al. 10.5194/tc-12-3459-2018
- Copernicus Marine Service Ocean State Report, Issue 3 K. von Schuckmann et al. 10.1080/1755876X.2019.1633075
- Forecasting of Sea Ice Concentration using CNN, PDE discovery and Bayesian Networks J. Borisova et al. 10.1016/j.procs.2023.12.019
- Investigating Hypoxic and Euxinic Area Changes Based on Various Datasets From the Baltic Sea K. Krapf et al. 10.3389/fmars.2022.823476
- Summer heatwaves on the Baltic Sea seabed contribute to oxygen deficiency in shallow areas K. Safonova et al. 10.1038/s43247-024-01268-z
- Joint retrieval of ocean surface wind and current vectors from satellite SAR data using a Bayesian inversion method A. Elyouncha et al. 10.1016/j.rse.2021.112455
- Impact of Ice Data Quality and Treatment on Wave Hindcast Statistics in Seasonally Ice-Covered Seas L. Tuomi et al. 10.3389/feart.2019.00166
- Regime shift in sea-ice characteristics and impact on the spring bloom in the Baltic Sea O. Pärn et al. 10.1016/j.oceano.2021.12.004
- Variability of chlorophyll a concentration in surface waters of the open Baltic Sea M. Stramska & J. Jakacki 10.1016/j.oceano.2024.02.003
- Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation C. Dong et al. 10.1007/s00343-022-1241-z
- NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China Y. Yan et al. 10.5194/gmd-15-1269-2022
34 citations as recorded by crossref.
- Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. 10.5194/esd-12-939-2021
- Regime Shift in Annual Nitrate Concentration in the Upper Southern Chukchi Borderland Responded to the Westward Shift of the Beaufort Gyre C. Dong et al. 10.1029/2022JC018846
- Assessment of sea ice thickness simulations in the CMIP6 models with CICE components M. Xu & J. Li 10.3389/fmars.2023.1223772
- Arctic summer sea-ice seasonal simulation with a coupled model: Evaluation of mean features and biases P. Saheed et al. 10.1007/s12040-018-1043-z
- Critical aspects for collision induced oil spill response and recovery system in ice conditions: A model-based analysis L. Lu et al. 10.1016/j.jlp.2020.104198
- Comparisons of Satellite and Modeled Surface Temperature and Chlorophyll Concentrations in the Baltic Sea with In Situ Data M. Stramska et al. 10.3390/rs13153049
- Numerical Simulations of Sea Ice Conditions in the Baltic Sea for 2010–2016 Winters Using the 3D CEMBS Model M. Janecki et al. 10.2478/pomr-2018-0094
- Steric Oscillations of the Baltic Sea Level E. Zakharchuk et al. 10.2205/2023ES000846
- Copernicus Ocean State Report, issue 6 10.1080/1755876X.2022.2095169
- Nemo-Nordic 2.0: operational marine forecast model for the Baltic Sea T. Kärnä et al. 10.5194/gmd-14-5731-2021
- Copernicus Marine Service Ocean State Report, Issue 4 K. von Schuckmann et al. 10.1080/1755876X.2020.1785097
- Non‐Redfieldian Dynamics Explain Seasonal pCO2 Drawdown in the Gulf of Bothnia F. Fransner et al. 10.1002/2017JC013019
- High-Resolution Ecosystem Model of the Puck Bay (Southern Baltic Sea)—Hydrodynamic Component Evaluation D. Dybowski et al. 10.3390/w11102057
- Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al. 10.1080/1755876X.2021.1946240
- Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications R. Hordoir et al. 10.5194/gmd-12-363-2019
- On the Applicability of CMEMS Reanalysis Data for Investigation of the Cold Intermediate Layer in the South-Eastern Part of the Baltic Sea N. Stepanova & A. Mizyuk 10.1007/s00024-022-03130-9
- A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea L. Lu et al. 10.1016/j.marpolbul.2018.12.018
- Recent regime of persistent hypoxia in the Baltic Sea M. Kõuts et al. 10.1088/2515-7620/ac0cc4
- Sea-state contributions to sea-level variability in the European Seas A. Bonaduce et al. 10.1007/s10236-020-01404-1
- A state-of-the-art model for spatial and stochastic oil spill risk assessment: A case study of oil spill from a shipwreck P. Amir-Heidari et al. 10.1016/j.envint.2019.02.037
- A data mining method for automatic identification and analysis of icebreaker assistance operation in ice-covered waters C. Liu et al. 10.1016/j.oceaneng.2022.112914
- First Steps towards a near Real-Time Modelling System of Vibrio vulnificus in the Baltic Sea E. Schütt et al. 10.3390/ijerph20085543
- Remineralization rate of terrestrial DOC as inferred from CO<sub>2</sub> supersaturated coastal waters F. Fransner et al. 10.5194/bg-16-863-2019
- Interannual sea ice thickness variability in the Bay of Bothnia I. Ronkainen et al. 10.5194/tc-12-3459-2018
- Copernicus Marine Service Ocean State Report, Issue 3 K. von Schuckmann et al. 10.1080/1755876X.2019.1633075
- Forecasting of Sea Ice Concentration using CNN, PDE discovery and Bayesian Networks J. Borisova et al. 10.1016/j.procs.2023.12.019
- Investigating Hypoxic and Euxinic Area Changes Based on Various Datasets From the Baltic Sea K. Krapf et al. 10.3389/fmars.2022.823476
- Summer heatwaves on the Baltic Sea seabed contribute to oxygen deficiency in shallow areas K. Safonova et al. 10.1038/s43247-024-01268-z
- Joint retrieval of ocean surface wind and current vectors from satellite SAR data using a Bayesian inversion method A. Elyouncha et al. 10.1016/j.rse.2021.112455
- Impact of Ice Data Quality and Treatment on Wave Hindcast Statistics in Seasonally Ice-Covered Seas L. Tuomi et al. 10.3389/feart.2019.00166
- Regime shift in sea-ice characteristics and impact on the spring bloom in the Baltic Sea O. Pärn et al. 10.1016/j.oceano.2021.12.004
- Variability of chlorophyll a concentration in surface waters of the open Baltic Sea M. Stramska & J. Jakacki 10.1016/j.oceano.2024.02.003
- Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation C. Dong et al. 10.1007/s00343-022-1241-z
- NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China Y. Yan et al. 10.5194/gmd-15-1269-2022
Latest update: 25 Apr 2024
Short summary
The Baltic Sea is seasonally ice covered with intense wintertime ship traffic and a sensitive ecosystem. Understanding the sea-ice pack is important for climate effect studies and forecasting. A NEMO-LIM3.6-based model setup for the North Sea/Baltic Sea is introduced, including a method for ice in the coastal zone. We evaluate different sea-ice parameters and overall find that the model agrees well with the observation though deformed ice is more challenging to capture.
The Baltic Sea is seasonally ice covered with intense wintertime ship traffic and a sensitive...
Special issue