44 citations as recorded by crossref.

1. Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution L. Bessières et al. 10.5194/gmd-10-1091-2017
2. Covariance of Optimal Parameters of an Arctic Sea Ice–Ocean Model H. Sumata et al. 10.1175/MWR-D-18-0375.1
3. Ensemble analysis and forecast of ecosystem indicators in the North Atlantic using ocean colour observations and prior statistics from a stochastic NEMO–PISCES simulator M. Popov et al. 10.5194/os-20-155-2024
4. Generating atmospheric forcing perturbations for an ocean data assimilation ensemble I. Mirouze & A. Storto 10.1080/16000870.2019.1624459
5. Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model M. Durán Moro et al. 10.5194/tc-18-1597-2024
6. An eddifying Stommel model: fast eddy effects in a two-box ocean W. Barham & I. Grooms 10.1080/03091929.2018.1464566
7. Ensemble hindcasting of wind and wave conditions with WRF and WAVEWATCH III® driven by ERA5 R. Osinski & H. Radtke 10.5194/os-16-355-2020
8. Oceanic Stochastic Parameterizations in a Seasonal Forecast System M. Andrejczuk et al. 10.1175/MWR-D-15-0245.1
9. A Gaussian-product stochastic Gent–McWilliams parameterization I. Grooms 10.1016/j.ocemod.2016.09.005
10. An Investigation of Ocean Model Uncertainties Through Ensemble Forecast Experiments in the Southwest Atlantic Ocean L. Lima et al. 10.1029/2018JC013919
11. Imprint of chaotic ocean variability on transports in the southwestern Pacific at interannual timescales S. Cravatte et al. 10.5194/os-17-487-2021
12. Diagnosing, modeling, and testing a multiplicative stochastic Gent-McWilliams parameterization I. Grooms & W. Kleiber 10.1016/j.ocemod.2018.10.009
13. Ensemble quantification of short-term predictability of the ocean dynamics at a kilometric-scale resolution: a Western Mediterranean test case S. Leroux et al. 10.5194/os-18-1619-2022
14. Data assimilative twin-experiment in a high-resolution Bay of Biscay configuration: 4DEnOI based on stochastic modeling of the wind forcing V. Vervatis et al. 10.1016/j.ocemod.2016.01.003
15. Internal variability of a 3-D ocean model B. Büchmann & J. Söderkvist 10.3402/tellusa.v68.30417
16. A means of estimating the intrinsic and atmospherically-forced contributions to sea surface height variability applied to altimetric observations S. Close et al. 10.1016/j.pocean.2020.102314
17. Stochastic Subgrid-Scale Ocean Mixing: Impacts on Low-Frequency Variability S. Juricke et al. 10.1175/JCLI-D-16-0539.1
18. Assessing the Impact of Different Ocean Analysis Schemes on Oceanic and Underwater Acoustic Predictions A. Storto et al. 10.1029/2019JC015636
19. Randomly correcting model errors in the ARPEGE-Climate v6.1 component of CNRM-CM: applications for seasonal forecasts L. Batté & M. Déqué 10.5194/gmd-9-2055-2016
20. Non‐Local Eddy‐Mean Kinetic Energy Transfers in Submesoscale‐Permitting Ensemble Simulations Q. Jamet et al. 10.1029/2022MS003057
21. Accounting for model error in strong‐constraint 4D‐Var data assimilation K. Howes et al. 10.1002/qj.2996
22. Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments F. Gasparin et al. 10.3389/fmars.2019.00083
23. On the Chaotic Variability of Deep Convection in the Mediterranean Sea R. Waldman et al. 10.1002/2017GL076319
24. Uncertainty and scale interactions in ocean ensembles: From seasonal forecasts to multidecadal climate predictions L. Zanna et al. 10.1002/qj.3397
25. Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction S. Penny et al. 10.3389/fmars.2019.00391
26. Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks Y. Fujii et al. 10.3389/fmars.2019.00417
27. An Ensemble-Based Probabilistic Score Approach to Compare Observation Scenarios: An Application to Biogeochemical-Argo Deployments C. Germineaud et al. 10.1175/JTECH-D-19-0002.1
28. Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation V. Vervatis et al. 10.1016/j.ocemod.2021.101781
29. Improved teleconnection between Arctic sea ice and the North Atlantic Oscillation through stochastic process representation K. Strommen et al. 10.5194/wcd-3-951-2022
30. Impact of Atmospheric and Model Physics Perturbations on a High‐Resolution Ensemble Data Assimilation System of the Red Sea S. Sanikommu et al. 10.1029/2019JC015611
31. Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic Ocean Y. Santana-Falcón et al. 10.5194/os-16-1297-2020
32. Global-scale random bottom pressure fluctuations from oceanic intrinsic variability M. Zhao et al. 10.1126/sciadv.adg0278
33. Circumpolar Variations in the Chaotic Nature of Southern Ocean Eddy Dynamics A. Hogg et al. 10.1029/2022JC018440
34. Perturbation of Boundary Conditions to Create Appropriate Ensembles for Regional Data Assimilation in Coastal Estuary Modeling Y. Matsuzaki & T. Inoue 10.1029/2021JC017911
35. Intrinsic and Atmospherically Forced Variability of the AMOC: Insights from a Large-Ensemble Ocean Hindcast S. Leroux et al. 10.1175/JCLI-D-17-0168.1
36. A multiscale ocean data assimilation approach combining spatial and spectral localisation A. Tissier et al. 10.5194/os-15-443-2019
37. Parameterizing the Impact of Unresolved Temperature Variability on the Large‐Scale Density Field: Part 1. Theory. Z. Stanley et al. 10.1029/2020MS002185
38. Model uncertainties of a storm and their influence on microplastics and sediment transport in the Baltic Sea R. Osinski et al. 10.5194/os-16-1491-2020
39. Stochastic representations of model uncertainties at ECMWF: state of the art and future vision M. Leutbecher et al. 10.1002/qj.3094
40. Extending an oceanographic variational scheme to allow for affordable hybrid and four-dimensional data assimilation A. Storto et al. 10.1016/j.ocemod.2018.06.005
41. Assessment of a regional physical–biogeochemical stochastic ocean model. Part 2: Empirical consistency V. Vervatis et al. 10.1016/j.ocemod.2021.101770
42. Bioluminescence potential modeling with an ensemble approach I. Shulman & S. Anderson 10.1007/s10236-019-01264-4
43. Stochastic parameterizations of biogeochemical uncertainties in a 1/4° NEMO/PISCES model for probabilistic comparisons with ocean color data F. Garnier et al. 10.1016/j.jmarsys.2015.10.012
44. Seasonal to annual ocean forecasting skill and the role of model and observational uncertainty S. Juricke et al. 10.1002/qj.3394