53 citations as recorded by crossref.

1. A perturbed biogeochemistry model ensemble evaluated against in situ and satellite observations P. Anugerahanti et al. 10.5194/bg-15-6685-2018
2. Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments M. Gehlen et al. 10.1080/1755876X.2015.1022350
3. Data assimilation of physical and chlorophyll a observations in the California Current System using two biogeochemical models J. Mattern et al. 10.1016/j.ocemod.2016.12.002
4. A machine-learning approach to modeling picophytoplankton abundances in the South China Sea B. Chen et al. 10.1016/j.pocean.2020.102456
5. 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
6. Prochlorococcus , Synechococcus , and picoeukaryotic phytoplankton abundances in the global ocean N. Visintini et al. 10.1002/lol2.10188
7. EMPOWER-1.0: an Efficient Model of Planktonic ecOsystems WrittEn in R T. Anderson et al. 10.5194/gmd-8-2231-2015
8. Consistent trophic amplification of marine biomass declines under climate change L. Kwiatkowski et al. 10.1111/gcb.14468
9. Resolving ecological feedbacks on the ocean carbon sink in Earth system models D. Armstrong McKay et al. 10.5194/esd-12-797-2021
10. Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. 10.1007/s40641-020-00164-w
11. Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models Y. Lee et al. 10.1002/2016JC011993
12. BGC-val: a model- and grid-independent Python toolkit to evaluate marine biogeochemical models L. de Mora et al. 10.5194/gmd-11-4215-2018
13. Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design D. Ford 10.5194/bg-18-509-2021
14. UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. 10.1029/2019MS001739
15. Persistent Uncertainties in Ocean Net Primary Production Climate Change Projections at Regional Scales Raise Challenges for Assessing Impacts on Ecosystem Services A. Tagliabue et al. 10.3389/fclim.2021.738224
16. EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model B. Ward et al. 10.5194/gmd-11-4241-2018
17. Description and evaluation of the Diat-HadOCC model v1.0: the ocean biogeochemical component of HadGEM2-ES I. Totterdell 10.5194/gmd-12-4497-2019
18. Ecosystem model intercomparison of under‐ice and total primary production in the A rctic O cean M. Jin et al. 10.1002/2015JC011183
19. A system of metrics for the assessment and improvement of aquatic ecosystem models M. Hipsey et al. 10.1016/j.envsoft.2020.104697
20. Observing and modelling phytoplankton community structure in the North Sea D. Ford et al. 10.5194/bg-14-1419-2017
21. Perturbed Biology and Physics Signatures in a 1-D Ocean Biogeochemical Model Ensemble P. Anugerahanti et al. 10.3389/fmars.2020.00549
22. Carbon System Simulation in the Pearl River Estuary, China: Mass Fluxes and Transformations B. Liang et al. 10.1029/2019JG005012
23. Seasonal and Spatial Controls on the Eutrophication‐Induced Acidification in the Pearl River Estuary B. Liang et al. 10.1029/2020JC017107
24. Biogeochemical protocols and diagnostics for the CMIP6 Ocean Model Intercomparison Project (OMIP) J. Orr et al. 10.5194/gmd-10-2169-2017
25. Physics or biology? Persistent chlorophyll accumulation in a shallow coastal sea explained by pathogens and carnivorous grazing K. Wirtz & G. Mancinelli 10.1371/journal.pone.0212143
26. The Impact of Variable Phytoplankton Stoichiometry on Projections of Primary Production, Food Quality, and Carbon Uptake in the Global Ocean L. Kwiatkowski et al. 10.1002/2017GB005799
27. Assessing an efficient “Instant Acclimation” approximation of dynamic phytoplankton stoichiometry B. Ward 10.1093/plankt/fbx040
28. Computing complex for modeling the Black Sea O. Dymova & S. Demyshev 10.1088/1755-1315/211/1/012082
29. Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products D. Ford & R. Barciela 10.1016/j.rse.2017.03.040
30. Calibration of a simple and a complex model of global marine biogeochemistry I. Kriest 10.5194/bg-14-4965-2017
31. ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels M. Butenschön et al. 10.5194/gmd-9-1293-2016
32. Marine regime shifts in ocean biogeochemical models: a case study in the Gulf of Alaska C. Beaulieu et al. 10.5194/bg-13-4533-2016
33. Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
34. One size fits all? Calibrating an ocean biogeochemistry model for different circulations I. Kriest et al. 10.5194/bg-17-3057-2020
35. Global biogeochemical impacts of phytoplankton: a trait‐based perspective E. Litchman et al. 10.1111/1365-2745.12438
36. Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al. 10.1002/2015JC011496
37. Can we project changes in fish abundance and distribution in response to climate? J. Fernandes et al. 10.1111/gcb.15081
38. Estimating the ecological, economic and social impacts of ocean acidification and warming on UK fisheries J. Fernandes et al. 10.1111/faf.12183
39. Drivers and uncertainties of future global marine primary production in marine ecosystem models C. Laufkötter et al. 10.5194/bg-12-6955-2015
40. Emergent constraints on projections of declining primary production in the tropical oceans L. Kwiatkowski et al. 10.1038/nclimate3265
41. Decline in Atlantic Primary Production Accelerated by Greenland Ice Sheet Melt L. Kwiatkowski et al. 10.1029/2019GL085267
42. Chaos in plankton models: Foraging strategy and seasonal forcing I. Moroz et al. 10.1016/j.ecolmodel.2016.04.011
43. Evaluation of NorESM-OC (versions 1 and 1.2), the ocean carbon-cycle stand-alone configuration of the Norwegian Earth System Model (NorESM1) J. Schwinger et al. 10.5194/gmd-9-2589-2016
44. Enhancing Ocean Biogeochemical Models With Phytoplankton Variable Composition P. Anugerahanti et al. 10.3389/fmars.2021.675428
45. Detection of climate change-driven trends in phytoplankton phenology S. Henson et al. 10.1111/gcb.13886
46. Sensitivity of the simulated Oxygen Minimum Zone to biogeochemical processes at an oligotrophic site in the Arabian Sea S. Sankar et al. 10.1016/j.ecolmodel.2018.01.016
47. Complex functionality with minimal computation: Promise and pitfalls of reduced-tracer ocean biogeochemistry models E. Galbraith et al. 10.1002/2015MS000463
48. The assessment of a global marine ecosystem model on the basis of emergent properties and ecosystem function: a case study with ERSEM L. de Mora et al. 10.5194/gmd-9-59-2016
49. Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 R. Séférian et al. 10.1007/s40641-020-00160-0
50. Spin‐up of UK Earth System Model 1 (UKESM1) for CMIP6 A. Yool et al. 10.1029/2019MS001933
51. Biogeochemical modelling of dissolved oxygen in a changing ocean O. Andrews et al. 10.1098/rsta.2016.0328
52. Anthropogenic CO2uptake, transport, storage, and dynamical controls in the ocean imposed by the meridional overturning circulation: A modeling study H. Nakano et al. 10.1002/2015GB005128
53. Future change in ocean productivity: Is the Arctic the new Atlantic? A. Yool et al. 10.1002/2015JC011167