59 citations as recorded by crossref.

1. Sigma-Point Kalman Filter Data Assimilation Methods for Strongly Nonlinear Systems J. Ambadan & Y. Tang
2. An iterative ensemble Kalman filter with one-step-ahead smoothing for state-parameters estimation of contaminant transport models M. Gharamti et al.
3. Assessing an ensemble Kalman filter inference of Manning’s n coefficient of an idealized tidal inlet against a polynomial chaos-based MCMC A. Siripatana et al.
4. Coupled hydrogeophysical parameter estimation using a sequential Bayesian approach J. Rings et al.
5. Parameter Estimation Using a Particle Method: Inferring Mixing Coefficients from Sea Level Observations F. Vossepoel & P. Jan van Leeuwen
6. A new method based on remote sensing observations and data assimilation for estimation of evapotranspiration over field crops J. Qin et al.
7. State and Parameter Estimation with an SIR Particle Filter in a Three-Dimensional Groundwater Pollutant Transport Model S. Chang et al.
8. Sampling-free linear Bayesian updating of model state and parameters using a square root approach O. Pajonk et al.
9. Estimating Model Parameters with Ensemble-Based Data Assimilation: A Review J. RUIZ et al.
10. The estimation of time-invariant parameters of noisy nonlinear oscillatory systems M. Khalil et al.
11. Parameter estimation for ocean background vertical diffusivity coefficients in the Community Earth System Model (v1.2.1) and its impact on El Niño–Southern Oscillation forecasts Z. Shen et al.
12. Assessing clustering strategies for Gaussian mixture filtering a subsurface contaminant model B. Liu et al.
13. Efficient Kernel-Based Ensemble Gaussian Mixture Filtering B. Liu et al.
14. Performance assessment, diagnosis, and optimal selection of non-linear state filters A. Tulsyan et al.
15. Sigma-point particle filter for parameter estimation in a multiplicative noise environment J. Ambadan & Y. Tang
16. Model-Based Heterogeneous Data Fusion for Reliable Force Estimation in Dynamic Structures under Uncertainties B. Khodabandeloo et al.
17. Implicit Estimation of Ecological Model Parameters B. Weir et al.
18. A simple numerical method based simultaneous stochastic perturbation for estimation of high dimensional matrices H. Hoang & R. Baraille
19. Particle Filtering in Geophysical Systems P. van Leeuwen
20. Parameter estimation using chaotic time series J. Annan
21. Linear versus Nonlinear Filtering with Scale-Selective Corrections for Balanced Dynamics in a Simple Atmospheric Model A. Subramanian et al.
22. An improved method for nonlinear parameter estimation: a case study of the Rössler model W. He et al.
23. Parameter estimation using chaotic time series J. Annan
24. Flood Routing Model with Particle Filter-Based Data Assimilation for Flash Flood Forecasting in the Micro-Model of Lower Yellow River, China M. Chen et al.
25. An Efficient State–Parameter Filtering Scheme Combining Ensemble Kalman and Particle Filters B. Ait-El-Fquih & I. Hoteit
26. A Note on the Particle Filter with Posterior Gaussian Resampling X. Xiong et al.
27. Model Error Estimation Employing an Ensemble Data Assimilation Approach D. Zupanski & M. Zupanski
28. Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall‐runoff models A. Weerts & G. El Serafy
29. Parameter variations in prediction skill optimization at ECMWF P. Ollinaho et al.
30. A two-stage inflation method in parameter estimation to compensate for constant parameter evolution in Community Earth System Model Z. Shen & Y. Tang
31. Up the ante on bioeconomic submodels of marine food webs: A data assimilation-based approach N. Ekerhovd & S. Kvamsdal
32. On closure parameter estimation in chaotic systems J. Hakkarainen et al.
33. A particle‐filter based adaptive inflation scheme for the ensemble Kalman filter B. Ait‐El‐Fquih & I. Hoteit
34. Tracking noisy limit cycle oscillation with nonlinear filters M. Khalil et al.
35. 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.
36. Adaptive Filter for High Dimensional Inverse Engineering Problems: From Theory to Practical Implementation H. Hoang & R. Barailles
37. Necessary conditions for algorithmic tuning of weather prediction models using OpenIFS as an example L. Tuppi et al.
38. Sequential weak constraint parameter estimation in an ecosystem model S. Losa et al.
39. Bayesian system ID: optimal management of parameter, model, and measurement uncertainty N. Galioto & A. Gorodetsky
40. Estimating parameters in stochastic systems: A variational Bayesian approach M. Vrettas et al.
41. Nonlinear filters for chaotic oscillatory systems M. Khalil et al.
42. A new method for parameter estimation in nonlinear dynamical equations L. Wang et al.
43. A Weak-Constraint-Based Data Assimilation Scheme for Estimating Surface Turbulent Fluxes J. Qin et al.
44. A New Approximate Solution of the Optimal Nonlinear Filter for Data Assimilation in Meteorology and Oceanography I. Hoteit et al.
45. Sampling free iterative PCE filter for state and parameter estimation of nonlinear dynamical systems W. van Dijk et al.
46. Data assimilation for marine monitoring and prediction: The MERCATOR operational assimilation systems and the MERSEA developments P. Brasseur et al.
47. Ocean state estimation from hydrography and velocity observations during EIFEX with a regional biogeochemical ocean circulation model M. Losch et al.
48. Simultaneous Estimation of Microphysical Parameters and Atmospheric State with Simulated Radar Data and Ensemble Square Root Kalman Filter. Part II: Parameter Estimation Experiments M. Tong & M. Xue
49. Parameter identification of river current and diffusion by reduced Kalman filter finite element method O. Kanai & M. Kawahara
50. Using the Kalman filter for parameter estimation in biogeochemical models C. Trudinger et al.
51. THE ENSEMBLE KALMAN FILTER FOR MULTIDIMENSIONAL BIOECONOMIC MODELS S. KVAMSDAL & L. SANDAL
52. A variational Bayesian approach for ensemble filtering of stochastically parametrized systems B. Ait‐El‐Fquih et al.
53. Prediction error sampling procedure based on dominant Schur decomposition. Application to state estimation in high dimensional oceanic model H. Hoang & R. Baraille
54. Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review S. Cheng et al.
55. Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model E. Simon & L. Bertino
56. Data assimilation with the weighted ensemble Kalman filter N. Papadakis et al.
57. Assimilating NOAA SST data into the BSH operational circulation model for the North and Baltic Seas: Inference about the data S. Losa et al.
58. Ensemble Kalman filter inference of spatially-varying Manning’s n coefficients in the coastal ocean A. Siripatana et al.
59. Parameter and state estimation with ensemble Kalman filter based algorithms for convective‐scale applications Y. Ruckstuhl & T. Janjić