21 citations as recorded by crossref.

1. Resolved complex coastlines and land–sea contrasts in a high-resolution regional climate model: a comparative study using prescribed and modelled SSTs T. Tian et al. https://doi.org/10.3402/tellusa.v65i0.19951
2. Trophic cascades of bottom-up and top-down forcing on nutrients and plankton in the Kattegat, evaluated by modelling M. Petersen et al. https://doi.org/10.1016/j.jmarsys.2017.01.006
3. The importance of local versus external nutrient loads for Chl a and primary production in the Western Baltic Sea M. Maar et al. https://doi.org/10.1016/j.ecolmodel.2015.09.023
4. Comparing model scenarios of variable plankton N/P ratio versus the constant one for the application in the Baltic Sea Z. Wan & H. Bi https://doi.org/10.1016/j.ecolmodel.2013.09.018
5. Investigation of sea level variability in the Baltic Sea from tide gauge, satellite altimeter data, and model reanalysis Q. Xu et al. https://doi.org/10.1080/01431161.2015.1043405
6. Tuning and assessment of the HYCOM-NORWECOM V2.1 biogeochemical modeling system for the North Atlantic and Arctic oceans A. Samuelsen et al. https://doi.org/10.5194/gmd-8-2187-2015
7. On the Role of Temperature and Salinity Data Assimilation to Constrain a Coupled Physical–Biogeochemical Model in the Baltic Sea W. Fu https://doi.org/10.1175/JPO-D-15-0027.1
8. Simulating transport and distribution of marine macro-plastic in the Baltic Sea A. Christensen et al. https://doi.org/10.1371/journal.pone.0280644
9. The Baltic Sea Atlantis: An integrated end-to-end modelling framework evaluating ecosystem-wide effects of human-induced pressures S. Bossier et al. https://doi.org/10.1371/journal.pone.0199168
10. Modelling the marine eutrophication: A review A. Ménesguen & G. Lacroix https://doi.org/10.1016/j.scitotenv.2018.04.183
11. Site selection of mussel mitigation cultures in relation to efficient nutrient compensation of fish farming M. Maar et al. https://doi.org/10.3354/aei00361
12. An operational biogeochemical model of the North-East Atlantic: Model description and skill assessment T. Dabrowski et al. https://doi.org/10.1016/j.jmarsys.2013.08.001
13. Development of a 3D Coupled Physical-Biogeochemical Model for the Marseille Coastal Area (NW Mediterranean Sea): What Complexity Is Required in the Coastal Zone? M. Fraysse et al. https://doi.org/10.1371/journal.pone.0080012
14. Experiences in multiyear combined state–parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter E. Simon et al. https://doi.org/10.1016/j.jmarsys.2015.07.004
15. Modelling the environmental impacts of future offshore fish farms in the inner Danish waters M. Maar et al. https://doi.org/10.3354/aei00259
16. Use of existing hydrographic infrastructure to forecast the environmental spawning conditions for Eastern Baltic cod B. von Dewitz et al. https://doi.org/10.1371/journal.pone.0196477
17. The use of at‐sea‐sampling data to dissociate environmental variability in Norway lobster (Nephrops norvegicus) catches to improve resource exploitation efficiency within the Skagerrak/Kattegat trawl fishery J. Feekings et al. https://doi.org/10.1111/fog.12116
18. Tidal to decadal scale hydrodynamics at two contrasting cold-water coral sites in the Northeast Atlantic C. Mohn et al. https://doi.org/10.1016/j.pocean.2023.103031
19. Bio-physical model provides insight into dispersal of plaice (Pleuronectes platessa L.) from putative spawning grounds to nursery areas on the west coast of Ireland M. Zölck et al. https://doi.org/10.1016/j.seares.2015.02.003
20. A Cross Disciplinary Framework for Cost-Benefit Optimization of Marine Litter Cleanup at Regional Scale A. Christensen et al. https://doi.org/10.3389/fmars.2021.744208
21. Comparison of two light attenuation parameterization focusing on timing of spring bloom and primary production in the Baltic Sea Z. Wan et al. https://doi.org/10.1016/j.ecolmodel.2013.03.010