88 citations as recorded by crossref.

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2. Weakly Constrained LETKF for Estimation of Hydrometeor Variables in Convective‐Scale Data Assimilation T. Janjić & Y. Zeng 10.1029/2021GL094962
3. Impact of data assimilation of physical variables on the spring bloom from TOPAZ operational runs in the North Atlantic A. Samuelsen et al. 10.5194/os-5-635-2009
4. A Simulation-Based Geostatistical Approach to Real-Time Reconciliation of the Grade Control Model T. Wambeke & J. Benndorf 10.1007/s11004-016-9658-6
5. 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. 10.1016/j.jmarsys.2013.02.007
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7. Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic M. Gharamti et al. 10.1016/j.jmarsys.2016.12.003
8. Data Assimilation in Spatio-Temporal Models with Non-Gaussian Initial States—The Selection Ensemble Kalman Model M. Conjard & H. Omre 10.3390/app10175742
9. EnKF-based estimation of natural gas release and dispersion in an underground tunnel S. Yuan et al. 10.1016/j.jlp.2019.103931
10. Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation M. Bocquet et al. 10.1175/2010MWR3164.1
11. 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
12. Simultaneous identification of a contaminant source and hydraulic conductivity via the restart normal-score ensemble Kalman filter T. Xu & J. Gómez-Hernández 10.1016/j.advwatres.2017.12.011
13. Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography A. Schöniger et al. 10.1029/2011WR010462
14. Characterization of non‐Gaussian conductivities and porosities with hydraulic heads, solute concentrations, and water temperatures T. Xu & J. Gómez‐Hernández 10.1002/2016WR019011
15. Data assimilation for nonlinear systems with a hybrid nonlinear Kalman ensemble transform filter L. Nerger 10.1002/qj.4221
16. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
17. A generalized Gaussian distribution based uncertainty sampling approach and its application in actual evapotranspiration assimilation S. Chen 10.1016/j.jhydrol.2017.07.036
18. Experiences in multiyear combined state–parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter E. Simon et al. 10.1016/j.jmarsys.2015.07.004
19. Ensemble Kalman filter based data assimilation in the Delft3D-BLOOM lake eutrophication model L. Zhuo et al. 10.18307/2017.0505
20. A Nonlinear Rank Regression Method for Ensemble Kalman Filter Data Assimilation J. Anderson 10.1175/MWR-D-18-0448.1
21. Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments M. Gehlen et al. 10.1080/1755876X.2015.1022350
22. Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter H. Zhou et al. 10.1007/s11004-011-9372-3
23. Conservation of Mass and Preservation of Positivity with Ensemble-Type Kalman Filter Algorithms T. Janjić et al. 10.1175/MWR-D-13-00056.1
24. Correcting for Position Errors in Variational Data Assimilation T. Nehrkorn et al. 10.1175/MWR-D-14-00127.1
25. Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al. 10.1002/2015JC011496
26. Statistical Properties of Global Precipitation in the NCEP GFS Model and TMPA Observations for Data Assimilation G. Lien et al. 10.1175/MWR-D-15-0150.1
27. Regional Ocean Data Assimilation C. Edwards et al. 10.1146/annurev-marine-010814-015821
28. Resource Model Updating For Compositional Geometallurgical Variables Á. Prior et al. 10.1007/s11004-020-09874-1
29. 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
30. 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
31. Clustered iterative stochastic ensemble method for multi-modal calibration of subsurface flow models A. Elsheikh et al. 10.1016/j.jhydrol.2013.03.037
32. À Trous Wavelet Based Four-Dimensional Evapotranspiration Assimilation S. Chen 10.1109/JSTARS.2015.2501542
33. A concept for the assimilation of satellite cloud information in an Ensemble Kalman Filter: single‐observation experiments A. Schomburg et al. 10.1002/qj.2407
34. 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
35. Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization J. Zhang et al. 10.1029/2020WR027399
36. Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment T. Singh et al. 10.3389/fmars.2022.775394
37. An ensemble modelling approach for spatiotemporally explicit estimation of fish distributions using data assimilation C. Kelly et al. 10.1016/j.fishres.2023.106624
38. Techniques and challenges in the assimilation of atmospheric water observations for numerical weather prediction towards convective scales R. Bannister et al. 10.1002/qj.3652
39. 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
40. Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model E. Simon & L. Bertino 10.1016/j.jmarsys.2011.07.007
41. Parameter and state estimation with ensemble Kalman filter based algorithms for convective‐scale applications Y. Ruckstuhl & T. Janjić 10.1002/qj.3257
42. A data assimilation algorithm for predicting rain T. Janjić et al. 10.1002/qj.4004
43. Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology Y. Chen et al. 10.5194/tc-18-2381-2024
44. A framework for high‐resolution meteorological surface reanalysis through offline data assimilation in an ensemble of downscaled reconstructions A. Devers et al. 10.1002/qj.3663
45. Assimilation of remotely-sensed optical properties to improve marine biogeochemistry modelling S. Ciavatta et al. 10.1016/j.pocean.2014.06.002
46. Estimation of solid-state sintering and material parameters using phase-field modeling and ensemble four-dimensional variational method A. Ishii et al. 10.1088/1361-651X/ac13cd
47. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
48. Application of model reduced 4D-Var to a 1D ecosystem model J. Pelc et al. 10.1016/j.ocemod.2012.09.003
49. A data assimilation framework that uses the Kullback-Leibler divergence S. Pimentel et al. 10.1371/journal.pone.0256584
50. Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation V. Vervatis et al. 10.1016/j.ocemod.2021.101781
51. Parameter estimation of subsurface flow models using iterative regularized ensemble Kalman filter A. ELSheikh et al. 10.1007/s00477-012-0613-x
52. 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. 10.1016/j.ocemod.2016.09.003
53. The power of transient piezometric head data in inverse modeling: An application of the localized normal-score EnKF with covariance inflation in a heterogenous bimodal hydraulic conductivity field T. Xu et al. 10.1016/j.advwatres.2013.01.006
54. The Impact of Data Assimilation Length Scales on Analysis and Prediction of Convective Storms H. Lange & G. Craig 10.1175/MWR-D-13-00304.1
55. Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean A. Barth et al. 10.1016/j.ocemod.2015.07.011
56. A PCM-based stochastic hydrological model for uncertainty quantification in watershed systems Y. Fan et al. 10.1007/s00477-014-0954-8
57. Incremental four-dimensional variational data assimilation of positive-definite oceanic variables using a logarithm transformation H. Song et al. 10.1016/j.ocemod.2012.06.001
58. A non-Gaussian analysis scheme using rank histograms for ensemble data assimilation S. Metref et al. 10.5194/npg-21-869-2014
59. 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
60. Smoothing Problems in a Bayesian Framework and Their Linear Gaussian Solutions E. Cosme et al. 10.1175/MWR-D-10-05025.1
61. Can ocean color assimilation improve biogeochemical hindcasts in shelf seas? S. Ciavatta et al. 10.1029/2011JC007219
62. Probability fields revisited in the context of ensemble Kalman filtering T. Xu & J. Gómez-Hernández 10.1016/j.jhydrol.2015.06.062
63. Assessment of a regional physical–biogeochemical stochastic ocean model. Part 2: Empirical consistency V. Vervatis et al. 10.1016/j.ocemod.2021.101770
64. An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering H. Zhou et al. 10.1016/j.advwatres.2011.04.014
65. Efficient estimation of material parameters using DMC-BO: Application to phase-field simulation of solid-state sintering A. Ishii et al. 10.1016/j.mtcomm.2021.103089
66. Characterization of mixing errors in a coupled physical biogeochemical model of the North Atlantic: implications for nonlinear estimation using Gaussian anamorphosis D. Béal et al. 10.5194/os-6-247-2010
67. Evaluation of nonidentical versus identical twin approaches for observation impact assessments: an ensemble-Kalman-filter-based ocean assimilation application for the Gulf of Mexico L. Yu et al. 10.5194/os-15-1801-2019
68. North Atlantic Ocean OSSE system development: Nature Run evaluation and application to hurricane interaction with the Gulf Stream V. Kourafalou et al. 10.1016/j.pocean.2016.09.001
69. DMC-TPE: tree-structured Parzen estimator-based efficient data assimilation method for phase-field simulation of solid-state sintering A. Ishii et al. 10.1080/27660400.2023.2239133
70. 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
71. Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding M. El Gharamti et al. 10.5194/hess-25-5315-2021
72. Estimation of positive sum-to-one constrained zooplankton grazing preferences with the DEnKF: a twin experiment E. Simon et al. 10.5194/os-8-587-2012
73. Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part II: Analysis of lake surface temperature and ice cover H. Pour et al. 10.3402/tellusa.v66.21395
74. 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
75. Effective assimilation of global precipitation: simulation experiments G. Lien et al. 10.3402/tellusa.v65i0.19915
76. Inverse sequential simulation: Performance and implementation details T. Xu & J. Gómez-Hernández 10.1016/j.advwatres.2015.04.015
77. Resource and Grade Control Model Updating for Underground Mining Production Settings Á. Prior et al. 10.1007/s11004-020-09881-2
78. FYRE Climate: a high-resolution reanalysis of daily precipitation and temperature in France from 1871 to 2012 A. Devers et al. 10.5194/cp-17-1857-2021
79. Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations T. Nguyen et al. 10.1109/TGRS.2023.3338296
80. Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al. 10.5194/bg-14-1647-2017
81. Comparison of deterministic and probabilistic approaches to identify the dynamic moving load and damages of a reinforced concrete beam J. Waeytens & B. Rosić 10.1016/j.amc.2015.07.121
82. A dynamical Gaussian, lognormal, and reverse lognormal Kalman filter S. Van Loon & S. Fletcher 10.1002/qj.4595
83. Assimilation of TRMM Multisatellite Precipitation Analysis with a Low-Resolution NCEP Global Forecast System G. Lien et al. 10.1175/MWR-D-15-0149.1
84. Stochastic estimation of biogeochemical parameters of a 3D ocean coupled physical–biogeochemical model: Twin experiments M. Doron et al. 10.1016/j.jmarsys.2011.04.001
85. A new method to improve estimation of uncertain parameters in the Ensemble Kalman filter by re-parameterization employing prior statistics correction A. Bagherinezhad et al. 10.1016/j.jngse.2015.08.057
86. Probabilistic estimation of long-term volcanic hazard under evolving tectonic conditions in a 1 Ma timeframe O. Jaquet et al. 10.1016/j.jvolgeores.2017.07.010
87. Data assimilation with the EnKF in a 1-D numerical model of a North Sea station S. Ponsar & P. Luyten 10.1007/s10236-009-0224-3
88. Data Assimilation Using the Constrained Ensemble Kalman Filter H. Phale & D. Oliver 10.2118/125101-PA