45 citations as recorded by crossref.

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8. The importance of state transformations when using the ensemble Kalman filter for unsaturated flow modeling: Dealing with strong nonlinearities D. Erdal et al. 10.1016/j.advwatres.2015.09.008
9. Probability fields revisited in the context of ensemble Kalman filtering T. Xu & J. Gómez-Hernández 10.1016/j.jhydrol.2015.06.062
10. Diet composition uncertainty determines impacts on fisheries following an oil spill H. Morzaria-Luna et al. 10.1016/j.ecoser.2018.05.002
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12. 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
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15. Evaluation of iterative Kalman smoother schemes for multi-decadal past climate analysis with comprehensive Earth system models J. García-Pintado & A. Paul 10.5194/gmd-11-5051-2018
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21. Detection of potential leakage pathways from geological carbon storage by fluid pressure data assimilation A. González-Nicolás et al. 10.1016/j.advwatres.2015.10.006
22. A Simulation-Based Geostatistical Approach to Real-Time Reconciliation of the Grade Control Model T. Wambeke & J. Benndorf 10.1007/s11004-016-9658-6
23. Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography A. Schöniger et al. 10.1029/2011WR010462
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26. Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations T. Nguyen et al. 10.1109/TGRS.2023.3338296
27. Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach J. Amezcua & P. Van Leeuwen 10.3402/tellusa.v66.23493
28. Correcting surface winds by assimilating high-frequency radar surface currents in the German Bight A. Barth et al. 10.1007/s10236-010-0369-0
29. Application of Feature Calibration and Alignment to High-Resolution Analysis: Examples Using Observations Sensitive to Cloud and Water Vapor T. Nehrkorn et al. 10.1175/MWR-D-13-00164.1
30. Development of a variational data assimilation system for the diurnal cycle of sea surface temperature J. While & M. Martin 10.1002/jgrc.20215
31. Corrections to ocean surface forcing in the California Current System using 4D variational data assimilation G. Broquet et al. 10.1016/j.ocemod.2010.10.005
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33. Towards an improved description of ocean uncertainties: effect of local anamorphic transformations on spatial correlations J. Brankart et al. 10.5194/os-8-121-2012
34. Evolution of oxygen and stratification and their relationship in the North Pacific Ocean in CMIP6 Earth system models L. Novi et al. 10.5194/bg-21-3985-2024
35. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
36. Ensemble Kalman filter versus ensemble smoother for assessing hydraulic conductivity via tracer test data assimilation E. Crestani et al. 10.5194/hess-17-1517-2013
37. Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al. 10.1016/j.envsoft.2016.09.012
38. 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
39. 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. 10.5194/os-9-37-2013
40. Inverse sequential simulation: Performance and implementation details T. Xu & J. Gómez-Hernández 10.1016/j.advwatres.2015.04.015
41. 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. 10.3390/geosciences10110462
42. The Effect of Thinning and Superobservations in a Simple One-Dimensional Data Analysis with Mischaracterized Error R. Hoffman 10.1175/MWR-D-17-0363.1
43. A coupled ensemble filtering and probabilistic collocation approach for uncertainty quantification of hydrological models Y. Fan et al. 10.1016/j.jhydrol.2015.09.035
44. Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al. 10.5194/bg-14-1647-2017
45. Controlling atmospheric forcing parameters of global ocean models: sequential assimilation of sea surface Mercator-Ocean reanalysis data C. Skandrani et al. 10.5194/os-5-403-2009