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 et al.
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Cited
54 citations as recorded by crossref.
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50 citations as recorded by crossref.
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- 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
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- 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
- 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
- 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
- Ecosystem model intercomparison of under‐ice and total primary production in the A rctic O cean 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
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- 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
- 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
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4 citations as recorded by crossref.
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