9 citations as recorded by crossref.

1. Stochastic estimation of biogeochemical parameters of a 3D ocean coupled physical–biogeochemical model: Twin experiments M. Doron et al. https://doi.org/10.1016/j.jmarsys.2011.04.001
2. Towards an improved description of ocean uncertainties: effect of local anamorphic transformations on spatial correlations J. Brankart et al. https://doi.org/10.5194/os-8-121-2012
3. Optimal adjustment of the atmospheric forcing parameters of ocean models using sea surface temperature data assimilation M. Meinvielle et al. https://doi.org/10.5194/os-9-867-2013
4. A generic approach to explicit simulation of uncertainty in the NEMO ocean model J. Brankart et al. https://doi.org/10.5194/gmd-8-1285-2015
5. Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments M. Gehlen et al. https://doi.org/10.1080/1755876X.2015.1022350
6. A Gaussian Mixture Model Smoother for Continuous Nonlinear Stochastic Dynamical Systems: Theory and Scheme T. Lolla & P. Lermusiaux https://doi.org/10.1175/MWR-D-16-0064.1
7. Potential outcomes of glider data assimilation in the Solomon Sea: Control of the water mass properties and parameter estimation A. Melet et al. https://doi.org/10.1016/j.jmarsys.2011.12.003
8. Smoothing Problems in a Bayesian Framework and Their Linear Gaussian Solutions E. Cosme et al. https://doi.org/10.1175/MWR-D-10-05025.1
9. Assimilating NOAA SST data into BSH operational circulation model for the North and Baltic Seas: Part 2. Sensitivity of the forecast's skill to the prior model error statistics S. Losa et al. https://doi.org/10.1016/j.jmarsys.2013.06.011