45 citations as recorded by crossref.

1. Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean A. Barth et al.
2. A PCM-based stochastic hydrological model for uncertainty quantification in watershed systems Y. Fan et al.
3. Stochastic parameterizations of biogeochemical uncertainties in a 1/4° NEMO/PISCES model for probabilistic comparisons with ocean color data F. Garnier et al.
4. Towards ecosystem‐based techniques for tipping point detection D. Hemraj & J. Carstensen
5. Stochastic estimation of biogeochemical parameters of a 3D ocean coupled physical–biogeochemical model: Twin experiments M. Doron et al.
6. Toward an Uncertainty Budget for a Coastal Ocean Model S. Kim et al.
7. Smoothing Problems in a Bayesian Framework and Their Linear Gaussian Solutions E. Cosme et al.
8. The importance of state transformations when using the ensemble Kalman filter for unsaturated flow modeling: Dealing with strong nonlinearities D. Erdal et al.
9. Probability fields revisited in the context of ensemble Kalman filtering T. Xu & J. Gómez-Hernández
10. Diet composition uncertainty determines impacts on fisheries following an oil spill H. Morzaria-Luna et al.
11. Comparison of Two Ensemble Kalman-Based Methods for Estimating Aquifer Parameters from Virtual 2-D Hydraulic and Tracer Tomographic Tests E. Sánchez-León et al.
12. Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic Ocean Y. Santana-Falcón et al.
13. A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation S. Metref et al.
14. Potential outcomes of glider data assimilation in the Solomon Sea: Control of the water mass properties and parameter estimation A. Melet et al.
15. Evaluation of iterative Kalman smoother schemes for multi-decadal past climate analysis with comprehensive Earth system models J. García-Pintado & A. Paul
16. Surf zone bathymetry and circulation predictions via data assimilation of remote sensing observations G. Wilson et al.
17. A generic approach to explicit simulation of uncertainty in the NEMO ocean model J. Brankart et al.
18. Stochastic estimation of biogeochemical parameters from Globcolour ocean colour satellite data in a North Atlantic 3D ocean coupled physical–biogeochemical model M. Doron et al.
19. Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis Y. Liu et al.
20. An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering H. Zhou et al.
21. Detection of potential leakage pathways from geological carbon storage by fluid pressure data assimilation A. González-Nicolás et al.
22. A Simulation-Based Geostatistical Approach to Real-Time Reconciliation of the Grade Control Model T. Wambeke & J. Benndorf
23. Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography A. Schöniger et al.
24. A statistical overview and perspectives on data assimilation for marine biogeochemical models M. Dowd et al.
25. A comparison of nonlinear extensions to the ensemble Kalman filter I. Grooms
26. Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations T. Nguyen et al.
27. Offline Fennel: a high-performance and computationally efficient biogeochemical model within the Regional Ocean Modeling System (ROMS) J. Crespin et al.
28. Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach J. Amezcua & P. Van Leeuwen
29. Correcting surface winds by assimilating high-frequency radar surface currents in the German Bight A. Barth et al.
30. Application of Feature Calibration and Alignment to High-Resolution Analysis: Examples Using Observations Sensitive to Cloud and Water Vapor T. Nehrkorn et al.
31. Development of a variational data assimilation system for the diurnal cycle of sea surface temperature J. While & M. Martin
32. Corrections to ocean surface forcing in the California Current System using 4D variational data assimilation G. Broquet et al.
33. Regional Ocean Data Assimilation C. Edwards et al.
34. Towards an improved description of ocean uncertainties: effect of local anamorphic transformations on spatial correlations J. Brankart et al.
35. Evolution of oxygen and stratification and their relationship in the North Pacific Ocean in CMIP6 Earth system models L. Novi et al.
36. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al.
37. Ensemble Kalman filter versus ensemble smoother for assessing hydraulic conductivity via tracer test data assimilation E. Crestani et al.
38. Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al.
39. An Ensemble-Based Probabilistic Score Approach to Compare Observation Scenarios: An Application to Biogeochemical-Argo Deployments C. Germineaud et al.
40. Toward a multivariate reanalysis of the North Atlantic Ocean biogeochemistry during 1998–2006 based on the assimilation of SeaWiFS chlorophyll data C. Fontana et al.
41. Inverse sequential simulation: Performance and implementation details T. Xu & J. Gómez-Hernández
42. Comparison of Two Ensemble-Kalman Filter Based Methods for Estimating Aquifer Parameters from Real 3-D Hydraulic and Tracer Tomographic Tests E. Sánchez-León et al.
43. The Effect of Thinning and Superobservations in a Simple One-Dimensional Data Analysis with Mischaracterized Error R. Hoffman
44. A coupled ensemble filtering and probabilistic collocation approach for uncertainty quantification of hydrological models Y. Fan et al.
45. Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al.