39 citations as recorded by crossref.

1. Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al. 10.5194/bg-14-1647-2017
2. Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach M. Stukel et al. 10.5194/bg-19-3595-2022
3. Bridging the gap: integrating models and observations for better ecosystem understanding M. Skogen et al. 10.3354/meps14616
4. The Assimilation of Phytoplankton Functional Types for Operational Forecasting in the Northwest European Shelf J. Skákala et al. 10.1029/2018JC014153
5. Discussion of skill improvement in marine ecosystem dynamic models based on parameter optimization and skill assessment C. Shen et al. 10.1007/s00343-016-5068-3
6. 75 years since Monod: It is time to increase the complexity of our predictive ecosystem models (opinion) 10.1016/j.ecolmodel.2016.12.001
7. Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al. 10.1002/2015JC011496
8. Observing and modelling phytoplankton community structure in the North Sea D. Ford et al. 10.5194/bg-14-1419-2017
9. Global Assimilation of Ocean‐Color Data of Phytoplankton Functional Types: Impact of Different Data Sets H. Pradhan et al. 10.1029/2019JC015586
10. Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments M. Gehlen et al. 10.1080/1755876X.2015.1022350
11. Carbon Fluxes in the Coastal Ocean: Synthesis, Boundary Processes, and Future Trends M. Dai et al. 10.1146/annurev-earth-032320-090746
12. Effects of parameter indeterminacy in pelagic biogeochemical modules of Earth System Models on projections into a warming future: The scale of the problem U. Löptien & H. Dietze 10.1002/2017GB005690
13. Assimilation of Ocean‐Color Plankton Functional Types to Improve Marine Ecosystem Simulations S. Ciavatta et al. 10.1002/2017JC013490
14. Capabilities of Baltic Sea models to assess environmental status for marine biodiversity L. Tedesco et al. 10.1016/j.marpol.2016.04.021
15. Assessing the value of biogeochemical Argo profiles versus ocean color observations for biogeochemical model optimization in the Gulf of Mexico B. Wang et al. 10.5194/bg-17-4059-2020
16. Carbon Budget of Tidal Wetlands, Estuaries, and Shelf Waters of Eastern North America R. Najjar et al. 10.1002/2017GB005790
17. Variability of plankton production during the spring bloom in NW Iberia L. García-García & M. Ruiz-Villarreal 10.3354/meps14236
18. Taxon-specific phytoplankton growth, nutrient utilization and light limitation in the oligotrophic Gulf of Mexico N. Yingling et al. 10.1093/plankt/fbab028
19. The Role of Zooplankton Grazing and Nutrient Recycling for Global Ocean Biogeochemistry and Phytoplankton Phenology O. Karakuş et al. 10.1029/2022JG006798
20. Impacts of Atmospheric Nitrogen Deposition and Coastal Nitrogen Fluxes on Oxygen Concentrations in Chesapeake Bay F. Da et al. 10.1029/2018JC014009
21. Climate change impacts on southern Ross Sea phytoplankton composition, productivity, and export D. Kaufman et al. 10.1002/2016JC012514
22. Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
23. Ocean Circulation Causes Strong Variability in the Mid‐Atlantic Bight Nitrogen Budget M. Friedrichs et al. 10.1029/2018JC014424
24. Advancing Marine Biogeochemical and Ecosystem Reanalyses and Forecasts as Tools for Monitoring and Managing Ecosystem Health K. Fennel et al. 10.3389/fmars.2019.00089
25. EMPOWER-1.0: an Efficient Model of Planktonic ecOsystems WrittEn in R T. Anderson et al. 10.5194/gmd-8-2231-2015
26. Chesapeake Bay nitrogen fluxes derived from a land‐estuarine ocean biogeochemical modeling system: Model description, evaluation, and nitrogen budgets Y. Feng et al. 10.1002/2015JG002931
27. Impacts of Atmospheric Nitrogen Deposition on Surface Waters of the Western North Atlantic Mitigated by Multiple Feedbacks P. St‐Laurent et al. 10.1002/2017JC013072
28. Using Multiple Ecological Models to Inform Environmental Decision-Making K. Lewis et al. 10.3389/fmars.2021.625790
29. Uncertainties in ocean biogeochemical simulations: Application of ensemble data assimilation to a one-dimensional model N. Mamnun et al. 10.3389/fmars.2022.984236
30. Variations in the elemental ratio of organic matter in the central Baltic Sea: Part II – Sensitivities of annual mass flux estimates to model parameter variations M. Kreus & M. Schartau 10.1016/j.csr.2015.02.004
31. Evaluating Confidence in the Impact of Regulatory Nutrient Reduction on Chesapeake Bay Water Quality I. Irby & M. Friedrichs 10.1007/s12237-018-0440-5
32. Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories M. Hipsey et al. 10.1002/2015WR017175
33. Challenges associated with modeling low-oxygen waters in Chesapeake Bay: a multiple model comparison I. Irby et al. 10.5194/bg-13-2011-2016
34. Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea C. Shu et al. 10.3390/rs14051297
35. Applications of biogeochemical models in different marine environments: a review K. Ismail & M. Al-Shehhi 10.3389/fenvs.2023.1198856
36. Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea D. Kaufman et al. 10.5194/bg-15-73-2018
37. The assimilation of satellite‐derived data into a one‐dimensional lower trophic level marine ecosystem model Y. Xiao & M. Friedrichs 10.1002/2013JC009433
38. Assimilation of remotely-sensed optical properties to improve marine biogeochemistry modelling S. Ciavatta et al. 10.1016/j.pocean.2014.06.002
39. Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective A. Janssen et al. 10.1007/s10452-015-9544-1