Articles | Volume 11, issue 24
https://doi.org/10.5194/bg-11-7291-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-7291-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Dec 2014
Research article |
| 19 Dec 2014
iMarNet: an ocean biogeochemistry model intercomparison project within a common physical ocean modelling framework
L. Kwiatkowski
CORRESPONDING AUTHOR
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, California 94305, USA
National Oceanography Centre, University of Southampton Waterfront Campus, European Way, Southampton SO14 3ZH, UK
J. I. Allen
Plymouth Marine Laboratory, Prospect Place, West Hoe, Plymouth PL1 3DH, UK
T. R. Anderson
National Oceanography Centre, University of Southampton Waterfront Campus, European Way, Southampton SO14 3ZH, UK
R. Barciela
Hadley Centre, Met Office, Exeter EX1 3PB, UK
E. T. Buitenhuis
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK
M. Butenschön
Plymouth Marine Laboratory, Prospect Place, West Hoe, Plymouth PL1 3DH, UK
C. Enright
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK
P. R. Halloran
College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4RJ, UK
C. Le Quéré
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK
L. de Mora
Plymouth Marine Laboratory, Prospect Place, West Hoe, Plymouth PL1 3DH, UK
M.-F. Racault
Plymouth Marine Laboratory, Prospect Place, West Hoe, Plymouth PL1 3DH, UK
B. Sinha
National Oceanography Centre, University of Southampton Waterfront Campus, European Way, Southampton SO14 3ZH, UK
I. J. Totterdell
Hadley Centre, Met Office, Exeter EX1 3PB, UK
P. M. Cox
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
Viewed
Total article views: 5,167 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Jul 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,959 | 1,796 | 412 | 5,167 | 134 | 141 |
- HTML: 2,959
- PDF: 1,796
- XML: 412
- Total: 5,167
- BibTeX: 134
- EndNote: 141
Total article views: 4,032 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Dec 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,387 | 1,264 | 381 | 4,032 | 132 | 136 |
- HTML: 2,387
- PDF: 1,264
- XML: 381
- Total: 4,032
- BibTeX: 132
- EndNote: 136
Total article views: 1,135 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Jul 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 572 | 532 | 31 | 1,135 | 2 | 5 |
- HTML: 572
- PDF: 532
- XML: 31
- Total: 1,135
- BibTeX: 2
- EndNote: 5
Cited
67 citations as recorded by crossref.
- A perturbed biogeochemistry model ensemble evaluated against in situ and satellite observations P. Anugerahanti et al. 10.5194/bg-15-6685-2018
- Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments M. Gehlen et al. 10.1080/1755876X.2015.1022350
- The Role of Zooplankton Grazing and Nutrient Recycling for Global Ocean Biogeochemistry and Phytoplankton Phenology O. Karakuş et al. 10.1029/2022JG006798
- 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
- A machine-learning approach to modeling picophytoplankton abundances in the South China Sea B. Chen et al. 10.1016/j.pocean.2020.102456
- Simulated Future Trends in Marine Nitrogen Fixation Are Sensitive to Model Iron Implementation W. Yao et al. 10.1029/2020GB006851
- 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
- Prochlorococcus,Synechococcus, and picoeukaryotic phytoplankton abundances in the global ocean N. Visintini et al. 10.1002/lol2.10188
- EMPOWER-1.0: an Efficient Model of Planktonic ecOsystems WrittEn in R T. Anderson et al. 10.5194/gmd-8-2231-2015
- Consistent trophic amplification of marine biomass declines under climate change L. Kwiatkowski et al. 10.1111/gcb.14468
- Resolving ecological feedbacks on the ocean carbon sink in Earth system models D. Armstrong McKay et al. 10.5194/esd-12-797-2021
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. 10.1007/s40641-020-00164-w
- 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
- 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
- Prediction model for newly-added sensors to ocean buoys: Leveraging adversarial loss and deep residual LSTM architecture Q. Zhu et al. 10.1016/j.dsp.2025.105126
- 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
- More realistic plankton simulation models will improve projections of ocean ecosystem responses to global change K. Flynn et al. 10.1038/s41559-025-02788-3
- Applications of biogeochemical models in different marine environments: a review K. Ismail & M. Al-Shehhi 10.3389/fenvs.2023.1198856
- Bridging the gap: integrating models and observations for better ecosystem understanding M. Skogen et al. 10.3354/meps14616
- UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. 10.1029/2019MS001739
- 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
- EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model B. Ward et al. 10.5194/gmd-11-4241-2018
- 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
- A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1 A. Naidoo-Bagwell et al. 10.5194/gmd-17-1729-2024
- Ecosystem model intercomparison of under‐ice and total primary production in the Arctic Ocean M. Jin et al. 10.1002/2015JC011183
- A system of metrics for the assessment and improvement of aquatic ecosystem models M. Hipsey et al. 10.1016/j.envsoft.2020.104697
- Observing and modelling phytoplankton community structure in the North Sea D. Ford et al. 10.5194/bg-14-1419-2017
- Perturbed Biology and Physics Signatures in a 1-D Ocean Biogeochemical Model Ensemble P. Anugerahanti et al. 10.3389/fmars.2020.00549
- Exploring the role of different data types and timescales in the quality of marine biogeochemical model calibration I. Kriest et al. 10.5194/bg-20-2645-2023
- Carbon System Simulation in the Pearl River Estuary, China: Mass Fluxes and Transformations B. Liang et al. 10.1029/2019JG005012
- Seasonal and Spatial Controls on the Eutrophication‐Induced Acidification in the Pearl River Estuary B. Liang et al. 10.1029/2020JC017107
- Biogeochemical protocols and diagnostics for the CMIP6 Ocean Model Intercomparison Project (OMIP) J. Orr et al. 10.5194/gmd-10-2169-2017
- 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
- 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
- Assessing an efficient “Instant Acclimation” approximation of dynamic phytoplankton stoichiometry B. Ward 10.1093/plankt/fbx040
- Variability of plankton production during the spring bloom in NW Iberia L. García-García & M. Ruiz-Villarreal 10.3354/meps14236
- Linking Plankton Size Spectra and Community Composition to Carbon Export and Its Efficiency C. Serra‐Pompei et al. 10.1029/2021GB007275
- Computing complex for modeling the Black Sea O. Dymova & S. Demyshev 10.1088/1755-1315/211/1/012082
- Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products D. Ford & R. Barciela 10.1016/j.rse.2017.03.040
- Calibration of a simple and a complex model of global marine biogeochemistry I. Kriest 10.5194/bg-14-4965-2017
- 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
- 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
- Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
- One size fits all? Calibrating an ocean biogeochemistry model for different circulations I. Kriest et al. 10.5194/bg-17-3057-2020
- Where and When the Mesopelagic Carbon Budget Balances, if at All S. Oliver et al. 10.1029/2024GL111667
- Global biogeochemical impacts of phytoplankton: a trait‐based perspective E. Litchman et al. 10.1111/1365-2745.12438
- Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al. 10.1002/2015JC011496
- Can we project changes in fish abundance and distribution in response to climate? J. Fernandes et al. 10.1111/gcb.15081
- Estimating the ecological, economic and social impacts of ocean acidification and warming on UK fisheries J. Fernandes et al. 10.1111/faf.12183
- Drivers and uncertainties of future global marine primary production in marine ecosystem models C. Laufkötter et al. 10.5194/bg-12-6955-2015
- Emergent constraints on projections of declining primary production in the tropical oceans L. Kwiatkowski et al. 10.1038/nclimate3265
- FOCI-MOPS v1 – integration of marine biogeochemistry within the Flexible Ocean and Climate Infrastructure version 1 (FOCI 1) Earth system model C. Chien et al. 10.5194/gmd-15-5987-2022
- Decline in Atlantic Primary Production Accelerated by Greenland Ice Sheet Melt L. Kwiatkowski et al. 10.1029/2019GL085267
- Chaos in plankton models: Foraging strategy and seasonal forcing I. Moroz et al. 10.1016/j.ecolmodel.2016.04.011
- Killing the predator: impacts of highest-predator mortality on the global-ocean ecosystem structure D. Talmy et al. 10.5194/bg-21-2493-2024
- 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
- Emergent ecology in a microscale model of the surface ocean F. Eigemann et al. 10.1128/mbio.02372-24
- Enhancing Ocean Biogeochemical Models With Phytoplankton Variable Composition P. Anugerahanti et al. 10.3389/fmars.2021.675428
- Detection of climate change‐driven trends in phytoplankton phenology S. Henson et al. 10.1111/gcb.13886
- 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
- Complex functionality with minimal computation: Promise and pitfalls of reduced‐tracer ocean biogeochemistry models E. Galbraith et al. 10.1002/2015MS000463
- 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
- Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 R. Séférian et al. 10.1007/s40641-020-00160-0
- Spin‐up of UK Earth System Model 1 (UKESM1) for CMIP6 A. Yool et al. 10.1029/2019MS001933
- Biogeochemical modelling of dissolved oxygen in a changing ocean O. Andrews et al. 10.1098/rsta.2016.0328
- Anthropogenic CO2 uptake, transport, storage, and dynamical controls in the ocean imposed by the meridional overturning circulation: A modeling study H. Nakano et al. 10.1002/2015GB005128
- Future change in ocean productivity: Is the Arctic the new Atlantic? A. Yool et al. 10.1002/2015JC011167
63 citations as recorded by crossref.
- A perturbed biogeochemistry model ensemble evaluated against in situ and satellite observations P. Anugerahanti et al. 10.5194/bg-15-6685-2018
- Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments M. Gehlen et al. 10.1080/1755876X.2015.1022350
- The Role of Zooplankton Grazing and Nutrient Recycling for Global Ocean Biogeochemistry and Phytoplankton Phenology O. Karakuş et al. 10.1029/2022JG006798
- 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
- A machine-learning approach to modeling picophytoplankton abundances in the South China Sea B. Chen et al. 10.1016/j.pocean.2020.102456
- Simulated Future Trends in Marine Nitrogen Fixation Are Sensitive to Model Iron Implementation W. Yao et al. 10.1029/2020GB006851
- 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
- Prochlorococcus,Synechococcus, and picoeukaryotic phytoplankton abundances in the global ocean N. Visintini et al. 10.1002/lol2.10188
- EMPOWER-1.0: an Efficient Model of Planktonic ecOsystems WrittEn in R T. Anderson et al. 10.5194/gmd-8-2231-2015
- Consistent trophic amplification of marine biomass declines under climate change L. Kwiatkowski et al. 10.1111/gcb.14468
- Resolving ecological feedbacks on the ocean carbon sink in Earth system models D. Armstrong McKay et al. 10.5194/esd-12-797-2021
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. 10.1007/s40641-020-00164-w
- 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
- 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
- Prediction model for newly-added sensors to ocean buoys: Leveraging adversarial loss and deep residual LSTM architecture Q. Zhu et al. 10.1016/j.dsp.2025.105126
- 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
- More realistic plankton simulation models will improve projections of ocean ecosystem responses to global change K. Flynn et al. 10.1038/s41559-025-02788-3
- Applications of biogeochemical models in different marine environments: a review K. Ismail & M. Al-Shehhi 10.3389/fenvs.2023.1198856
- Bridging the gap: integrating models and observations for better ecosystem understanding M. Skogen et al. 10.3354/meps14616
- UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. 10.1029/2019MS001739
- 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
- EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model B. Ward et al. 10.5194/gmd-11-4241-2018
- 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
- A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1 A. Naidoo-Bagwell et al. 10.5194/gmd-17-1729-2024
- Ecosystem model intercomparison of under‐ice and total primary production in the Arctic Ocean M. Jin et al. 10.1002/2015JC011183
- A system of metrics for the assessment and improvement of aquatic ecosystem models M. Hipsey et al. 10.1016/j.envsoft.2020.104697
- Observing and modelling phytoplankton community structure in the North Sea D. Ford et al. 10.5194/bg-14-1419-2017
- Perturbed Biology and Physics Signatures in a 1-D Ocean Biogeochemical Model Ensemble P. Anugerahanti et al. 10.3389/fmars.2020.00549
- Exploring the role of different data types and timescales in the quality of marine biogeochemical model calibration I. Kriest et al. 10.5194/bg-20-2645-2023
- Carbon System Simulation in the Pearl River Estuary, China: Mass Fluxes and Transformations B. Liang et al. 10.1029/2019JG005012
- Seasonal and Spatial Controls on the Eutrophication‐Induced Acidification in the Pearl River Estuary B. Liang et al. 10.1029/2020JC017107
- Biogeochemical protocols and diagnostics for the CMIP6 Ocean Model Intercomparison Project (OMIP) J. Orr et al. 10.5194/gmd-10-2169-2017
- 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
- 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
- Assessing an efficient “Instant Acclimation” approximation of dynamic phytoplankton stoichiometry B. Ward 10.1093/plankt/fbx040
- Variability of plankton production during the spring bloom in NW Iberia L. García-García & M. Ruiz-Villarreal 10.3354/meps14236
- Linking Plankton Size Spectra and Community Composition to Carbon Export and Its Efficiency C. Serra‐Pompei et al. 10.1029/2021GB007275
- Computing complex for modeling the Black Sea O. Dymova & S. Demyshev 10.1088/1755-1315/211/1/012082
- Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products D. Ford & R. Barciela 10.1016/j.rse.2017.03.040
- Calibration of a simple and a complex model of global marine biogeochemistry I. Kriest 10.5194/bg-14-4965-2017
- 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
- 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
- Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
- One size fits all? Calibrating an ocean biogeochemistry model for different circulations I. Kriest et al. 10.5194/bg-17-3057-2020
- Where and When the Mesopelagic Carbon Budget Balances, if at All S. Oliver et al. 10.1029/2024GL111667
- Global biogeochemical impacts of phytoplankton: a trait‐based perspective E. Litchman et al. 10.1111/1365-2745.12438
- Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al. 10.1002/2015JC011496
- Can we project changes in fish abundance and distribution in response to climate? J. Fernandes et al. 10.1111/gcb.15081
- Estimating the ecological, economic and social impacts of ocean acidification and warming on UK fisheries J. Fernandes et al. 10.1111/faf.12183
- Drivers and uncertainties of future global marine primary production in marine ecosystem models C. Laufkötter et al. 10.5194/bg-12-6955-2015
- Emergent constraints on projections of declining primary production in the tropical oceans L. Kwiatkowski et al. 10.1038/nclimate3265
- FOCI-MOPS v1 – integration of marine biogeochemistry within the Flexible Ocean and Climate Infrastructure version 1 (FOCI 1) Earth system model C. Chien et al. 10.5194/gmd-15-5987-2022
- Decline in Atlantic Primary Production Accelerated by Greenland Ice Sheet Melt L. Kwiatkowski et al. 10.1029/2019GL085267
- Chaos in plankton models: Foraging strategy and seasonal forcing I. Moroz et al. 10.1016/j.ecolmodel.2016.04.011
- Killing the predator: impacts of highest-predator mortality on the global-ocean ecosystem structure D. Talmy et al. 10.5194/bg-21-2493-2024
- 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
- Emergent ecology in a microscale model of the surface ocean F. Eigemann et al. 10.1128/mbio.02372-24
- Enhancing Ocean Biogeochemical Models With Phytoplankton Variable Composition P. Anugerahanti et al. 10.3389/fmars.2021.675428
- Detection of climate change‐driven trends in phytoplankton phenology S. Henson et al. 10.1111/gcb.13886
- 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
- Complex functionality with minimal computation: Promise and pitfalls of reduced‐tracer ocean biogeochemistry models E. Galbraith et al. 10.1002/2015MS000463
- 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
- Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 R. Séférian et al. 10.1007/s40641-020-00160-0
4 citations as recorded by crossref.
- Spin‐up of UK Earth System Model 1 (UKESM1) for CMIP6 A. Yool et al. 10.1029/2019MS001933
- Biogeochemical modelling of dissolved oxygen in a changing ocean O. Andrews et al. 10.1098/rsta.2016.0328
- Anthropogenic CO2 uptake, transport, storage, and dynamical controls in the ocean imposed by the meridional overturning circulation: A modeling study H. Nakano et al. 10.1002/2015GB005128
- Future change in ocean productivity: Is the Arctic the new Atlantic? A. Yool et al. 10.1002/2015JC011167
Saved (final revised paper)
Latest update: 02 Jul 2025
Altmetrics
Final-revised paper
Preprint