58 citations as recorded by crossref.

1. Developing integrated models of Southern Ocean food webs: Including ecological complexity, accounting for uncertainty and the importance of scale E. Murphy et al. https://doi.org/10.1016/j.pocean.2012.03.006
2. Remineralization of particulate organic carbon in an ocean oxygen minimum zone E. Cavan et al. https://doi.org/10.1038/ncomms14847
3. Estimation of primary production in the Arctic Ocean using ocean colour remote sensing and coupled physical–biological models: Strengths, limitations and how they compare M. Babin et al. https://doi.org/10.1016/j.pocean.2015.08.008
4. A new marine ecosystem model for the University of Victoria Earth System Climate Model D. Keller et al. https://doi.org/10.5194/gmd-5-1195-2012
5. A review of the measurement and modelling of dinoflagellate bioluminescence C. Marcinko et al. https://doi.org/10.1016/j.pocean.2012.10.008
6. An integrated framework for assessing coastal community vulnerability across cultures, oceans and scales S. Aswani et al. https://doi.org/10.1080/17565529.2018.1442795
7. Challenges in integrative approaches to modelling the marine ecosystems of the North Atlantic: Physics to fish and coasts to ocean J. Holt et al. https://doi.org/10.1016/j.pocean.2014.04.024
8. Exploring the ecology of the mesopelagic biological pump E. Cavan et al. https://doi.org/10.1016/j.pocean.2019.102125
9. MEDUSA-2.0: an intermediate complexity biogeochemical model of the marine carbon cycle for climate change and ocean acidification studies A. Yool et al. https://doi.org/10.5194/gmd-6-1767-2013
10. The Cost of Reducing the North Atlantic Ocean Biological Carbon Pump M. Barange et al. https://doi.org/10.3389/fmars.2016.00290
11. The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python B. Post et al. https://doi.org/10.5194/gmd-17-1175-2024
12. A discrete interaction numerical model for coagulation and fragmentation of marine detritic particulate matter (Coagfrag v.1) G. Gremion et al. https://doi.org/10.5194/gmd-14-4535-2021
13. 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
14. Perturbed Biology and Physics Signatures in a 1-D Ocean Biogeochemical Model Ensemble P. Anugerahanti et al. https://doi.org/10.3389/fmars.2020.00549
15. Assessment and Constraint of Mesozooplankton in CMIP6 Earth System Models C. Petrik et al. https://doi.org/10.1029/2022GB007367
16. Swept under the carpet: organic matter burial decreases global ocean biogeochemical model sensitivity to remineralization length scale I. Kriest & A. Oschlies https://doi.org/10.5194/bg-10-8401-2013
17. PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies O. Aumont et al. https://doi.org/10.5194/gmd-8-2465-2015
18. The case for open computer programs D. Ince et al. https://doi.org/10.1038/nature10836
19. The impact of global warming on seasonality of ocean primary production S. Henson et al. https://doi.org/10.5194/bg-10-4357-2013
20. Model of Early Diagenesis in the Upper Sediment with Adaptable complexity – MEDUSA (v. 2): a time-dependent biogeochemical sediment module for Earth system models, process analysis and teaching G. Munhoven https://doi.org/10.5194/gmd-14-3603-2021
21. Finding Liebig’s law of the minimum J. Tang & W. Riley https://doi.org/10.1002/eap.2458
22. Climate change impacts on southern Ross Sea phytoplankton composition, productivity, and export D. Kaufman et al. https://doi.org/10.1002/2016JC012514
23. Regional variability of acidification in the Arctic: a sea of contrasts E. Popova et al. https://doi.org/10.5194/bg-11-293-2014
24. Sensitivity of secondary production and export flux to choice of trophic transfer formulation in marine ecosystem models T. Anderson et al. https://doi.org/10.1016/j.jmarsys.2012.09.008
25. Using scenarios to project the changing profitability of fisheries under climate change M. Jones et al. https://doi.org/10.1111/faf.12081
26. The Madagascar Bloom: A serendipitous study M. Srokosz & G. Quartly https://doi.org/10.1029/2012JC008339
27. Calibration of a simple and a complex model of global marine biogeochemistry I. Kriest https://doi.org/10.5194/bg-14-4965-2017
28. Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea D. Kaufman et al. https://doi.org/10.5194/bg-15-73-2018
29. Ocean biological carbon pump: The evolution and prospects G. Xu et al. https://doi.org/10.1016/j.jcou.2026.103450
30. An Assessment of Vertical Carbon Flux Parameterizations Using Backscatter Data From BGC Argo B. Wang & K. Fennel https://doi.org/10.1029/2022GL101220
31. Spatial Modeling of Calanus finmarchicus and Calanus helgolandicus: Parameter Differences Explain Differences in Biogeography R. Wilson et al. https://doi.org/10.3389/fmars.2016.00157
32. Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models Y. Lee et al. https://doi.org/10.1002/2016JC011993
33. Climate change and ocean acidification impacts on lower trophic levels and the export of organic carbon to the deep ocean A. Yool et al. https://doi.org/10.5194/bg-10-5831-2013
34. Modeling What We Sample and Sampling What We Model: Challenges for Zooplankton Model Assessment J. Everett et al. https://doi.org/10.3389/fmars.2017.00077
35. Plasticity of marine ecosystem dynamics as a condition for its stability: modeling seasonal and vertical dynamics of the Arctic shelf ecosystem N. Solovjova https://doi.org/10.1016/j.marenvres.2026.108225
36. A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3) V. Schourup-Kristensen et al. https://doi.org/10.5194/gmd-7-2769-2014
37. Mechanistic site-based emulation of a global ocean biogeochemical model (MEDUSA 1.0) for parametric analysis and calibration: an application of the Marine Model Optimization Testbed (MarMOT 1.1) J. Hemmings et al. https://doi.org/10.5194/gmd-8-697-2015
38. Marine regime shifts in ocean biogeochemical models: a case study in the Gulf of Alaska C. Beaulieu et al. https://doi.org/10.5194/bg-13-4533-2016
39. Top-down control of marine phytoplankton diversity in a global ecosystem model A. Prowe et al. https://doi.org/10.1016/j.pocean.2011.11.016
40. Explicit Planktic Calcifiers in the University of Victoria Earth System Climate Model, Version 2.9 K. Kvale et al. https://doi.org/10.1080/07055900.2015.1049112
41. Modeling silicate–nitrate–ammonium co-limitation of algal growth and the importance of bacterial remineralization based on an experimental Arctic coastal spring bloom culture study T. Vonnahme et al. https://doi.org/10.5194/bg-18-1719-2021
42. Изучение связи первичной продукции и морского льда в арктических морях: оценки на основе малокомпонентной модели морской экосистемы (на англ.яз.), "Фундаментальная и прикладная гидрофизика" С. Мартьянов et al. https://doi.org/10.7868/S2073667318020107
43. The link between surface and sub-surface chlorophyll-a in the centre of the Atlantic subtropical gyres: a comparison of observations and models G. Quartly et al. https://doi.org/10.3389/fmars.2023.1197753
44. EMPOWER-1.0: an Efficient Model of Planktonic ecOsystems WrittEn in R T. Anderson et al. https://doi.org/10.5194/gmd-8-2231-2015
45. Addressing the impact of environmental uncertainty in plankton model calibration with a dedicated software system: the Marine Model Optimization Testbed (MarMOT 1.1 alpha) J. Hemmings & P. Challenor https://doi.org/10.5194/gmd-5-471-2012
46. Variability in efficiency of particulate organic carbon export: A model study S. Henson et al. https://doi.org/10.1002/2014GB004965
47. A derivative-free optimisation method for global ocean biogeochemical models S. Oliver et al. https://doi.org/10.5194/gmd-15-3537-2022
48. Coccolithophore surface distributions in the North Atlantic and their modulation of the air-sea flux of CO2 from 10 years of satellite Earth observation data J. Shutler et al. https://doi.org/10.5194/bg-10-2699-2013
49. Applications of biogeochemical models in different marine environments: a review K. Ismail & M. Al-Shehhi https://doi.org/10.3389/fenvs.2023.1198856
50. Marine biogeochemical cycling and oceanic CO2 uptake simulated by the NUIST Earth System Model version 3 (NESM v3) Y. Dai et al. https://doi.org/10.5194/gmd-13-3119-2020
51. Iron Limitation and Uneven Grazing Pressure on Phytoplankton Co‐Lead the Seasonal Species Succession in the Ross Ice Shelf Polynya Y. Zhang et al. https://doi.org/10.1029/2022JC019026
52. Reproducible and relocatable regional ocean modelling: fundamentals and practices J. Polton et al. https://doi.org/10.5194/gmd-16-1481-2023
53. Development of the UKESM-TOPAZ Earth System Model (Version 1.0) and Preliminary Evaluation of its Biogeochemical Simulations H. Lee et al. https://doi.org/10.1007/s13143-021-00263-0
54. A perturbed biogeochemistry model ensemble evaluated against in situ and satellite observations P. Anugerahanti et al. https://doi.org/10.5194/bg-15-6685-2018
55. The Biological Carbon Pump in the North Atlantic R. Sanders et al. https://doi.org/10.1016/j.pocean.2014.05.005
56. iMarNet: an ocean biogeochemistry model intercomparison project within a common physical ocean modelling framework L. Kwiatkowski et al. https://doi.org/10.5194/bg-11-7291-2014
57. Making modelling count - increasing the contribution of shelf-seas community and ecosystem models to policy development and management K. Hyder et al. https://doi.org/10.1016/j.marpol.2015.07.015
58. How well do global ocean biogeochemistry models simulate dissolved iron distributions? A. Tagliabue et al. https://doi.org/10.1002/2015GB005289