33 citations as recorded by crossref.

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5. Data assimilation in a coupled physical-biogeochemical model of the California Current System using an incremental lognormal 4-dimensional variational approach: Part 2—Joint physical and biological data assimilation twin experiments H. Song et al. https://doi.org/10.1016/j.ocemod.2016.09.003
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7. A hybrid ensemble-OI Kalman filter for efficient data assimilation into a 3-D biogeochemical model of the Mediterranean K. Tsiaras et al. https://doi.org/10.1007/s10236-017-1050-7
8. Application of a bioenergetics growth model for European anchovy (Engraulis encrasicolus) linked with a lower trophic level ecosystem model D. Politikos et al. https://doi.org/10.1007/s10750-011-0674-8
9. A data assimilation tool for the Pagasitikos Gulf ecosystem dynamics: Methods and benefits G. Korres et al. https://doi.org/10.1016/j.jmarsys.2011.11.004
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11. Uncertainties in ocean biogeochemical simulations: Application of ensemble data assimilation to a one-dimensional model N. Mamnun et al. https://doi.org/10.3389/fmars.2022.984236
12. Physical forcing and physical/biochemical variability of the Mediterranean Sea: a review of unresolved issues and directions for future research P. Malanotte-Rizzoli et al. https://doi.org/10.5194/os-10-281-2014
13. Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al. https://doi.org/10.1002/2015JC011496
14. Scenario testing of fisheries management strategies using a high resolution ERSEM–POM ecosystem model G. Petihakis et al. https://doi.org/10.1093/icesjms/fsm161
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19. Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields H. Pradhan et al. https://doi.org/10.1029/2018JC014329
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27. Efficient ensemble forecasting of marine ecology with clustered 1D models and statistical lateral exchange: application to the Red Sea D. Dreano et al. https://doi.org/10.1007/s10236-017-1065-0
28. Stochastic parameterizations of biogeochemical uncertainties in a 1/4° NEMO/PISCES model for probabilistic comparisons with ocean color data F. Garnier et al. https://doi.org/10.1016/j.jmarsys.2015.10.012
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