45 citations as recorded by crossref.

1. Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method H. Moradkhani et al. 10.1029/2012WR012144
2. An Improved Particle Filter Algorithm Based on Ensemble Kalman Filter and Markov Chain Monte Carlo Method H. Bi et al. 10.1109/JSTARS.2014.2322096
3. Insights on the impact of systematic model errors on data assimilation performance in changing catchments S. Pathiraja et al. 10.1016/j.advwatres.2017.12.006
4. Assimilation of microwave brightness temperatures for soil moisture estimation using particle filter H. Bi et al. 10.1088/1755-1315/17/1/012126
5. Near‐Real‐Time Assimilation of SAR‐Derived Flood Maps for Improving Flood Forecasts R. Hostache et al. 10.1029/2017WR022205
6. Assimilation of water temperature and discharge data for ensemble water temperature forecasting S. Ouellet-Proulx et al. 10.1016/j.jhydrol.2017.09.027
7. A particle filter scheme for multivariate data assimilation into a point-scale snowpack model in an Alpine environment G. Piazzi et al. 10.5194/tc-12-2287-2018
8. Improving particle filters in rainfall-runoff models: Application of the resample-move step and the ensemble Gaussian particle filter D. Plaza Guingla et al. 10.1002/wrcr.20291
9. State and parameter update of a hydrodynamic-phytoplankton model using ensemble Kalman filter J. Huang et al. 10.1016/j.ecolmodel.2013.04.022
10. Data-Driven Model Uncertainty Estimation in Hydrologic Data Assimilation S. Pathiraja et al. 10.1002/2018WR022627
11. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes C. Alvarez-Garreton et al. 10.5194/hessd-11-10635-2014
12. A back-fitting algorithm to improve real-time flood forecasting X. Zhang et al. 10.1016/j.jhydrol.2018.04.051
13. The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework P. Abbaszadeh et al. 10.1029/2018WR023629
14. An iterative particle filter approach for coupled hydro-geophysical inversion of a controlled infiltration experiment G. Manoli et al. 10.1016/j.jcp.2014.11.035
15. Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y. Liu et al. 10.5194/hessd-9-3415-2012
16. MATLAB algorithm to implement soil water data assimilation with the Ensemble Kalman Filter using HYDRUS J. Valdes-Abellan et al. 10.1016/j.mex.2018.02.008
17. Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review Y. Li et al. 10.3390/rs8060456
18. Improving Soil Moisture Profile Prediction With the Particle Filter-Markov Chain Monte Carlo Method H. Yan et al. 10.1109/TGRS.2015.2432067
19. A Modified Particle Filter‐Based Data Assimilation Method for a High‐Precision 2‐D Hydrodynamic Model Considering Spatial‐temporal Variability of Roughness: Simulation of Dam‐Break Flood Inundation Y. Cao et al. 10.1029/2018WR023568
20. Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems W. Lahoz & G. De Lannoy 10.1007/s10712-013-9221-7
21. Covariance resampling for particle filter – state and parameter estimation for soil hydrology D. Berg et al. 10.5194/hess-23-1163-2019
22. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes C. Alvarez-Garreton et al. 10.5194/hess-19-1659-2015
23. Toward improving drought monitoring using the remotely sensed soil moisture assimilation: A parallel particle filtering framework H. Yan et al. 10.1016/j.rse.2018.07.017
24. Evidence of a topographic signal in surface soil moisture derived from ENVISAT ASAR wide swath data D. Mason et al. 10.1016/j.jag.2015.02.004
25. Simultaneous estimation of soil moisture and hydraulic parameters using residual resampling particle filter H. Bi et al. 10.1007/s11430-013-4742-y
26. Development of a copula‐based particle filter ( C op PF ) approach for hydrologic data assimilation under consideration of parameter interdependence Y. Fan et al. 10.1002/2016WR020144
27. A probabilistic drought forecasting framework: A combined dynamical and statistical approach H. Yan et al. 10.1016/j.jhydrol.2017.03.004
28. Multivariate and Multiscale Data Assimilation in Terrestrial Systems: A Review C. Montzka et al. 10.3390/s121216291
29. Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo P. Abbaszadeh et al. 10.1016/j.advwatres.2017.11.011
30. Kalman filters for assimilating near-surface observations into the Richards equation – Part 3: Retrieving states and parameters from laboratory evaporation experiments H. Medina et al. 10.5194/hess-18-2543-2014
31. Obtaining soil hydraulic parameters from soil water content data assimilation under different climatic/soil conditions J. Valdes-Abellan et al. 10.1016/j.catena.2017.12.022
32. Simultaneous assimilation of in situ soil moisture and streamflow in the SWAT model using the Extended Kalman Filter L. Sun et al. 10.1016/j.jhydrol.2016.10.040
33. An ensemble square root filter for the joint assimilation of surface soil moisture and leaf area index within the Land Data Assimilation System LDAS-Monde: application over the Euro-Mediterranean region B. Bonan et al. 10.5194/hess-24-325-2020
34. A drifting GPS buoy for retrieving effective riverbed bathymetry R. Hostache et al. 10.1016/j.jhydrol.2014.11.018
35. State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter H. Zhang et al. 10.5194/hess-21-4927-2017
36. On the assimilation set-up of ASCAT soil moisture data for improving streamflow catchment simulation J. Loizu et al. 10.1016/j.advwatres.2017.10.034
37. Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y. Liu et al. 10.5194/hess-16-3863-2012
38. Application of ensemble transform data assimilation methods for parameter estimation in reservoir modeling S. Ruchi & S. Dubinkina 10.5194/npg-25-731-2018
39. Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling H. Yan & H. Moradkhani 10.1016/j.advwatres.2016.06.002
40. Oxygen data assimilation for estimating micro-organism communities’ parameters in river systems S. Wang et al. 10.1016/j.watres.2019.115021
41. Assessing sequential data assimilation techniques for integrating GRACE data into a hydrological model M. Khaki et al. 10.1016/j.advwatres.2017.07.001
42. Error distribution modelling of satellite soil moisture measurements for hydrological applications L. Zhuo et al. 10.1002/hyp.10789
43. Correcting satellite-based precipitation products through SMOS soil moisture data assimilation in two land-surface models of different complexity: API and SURFEX C. Román-Cascón et al. 10.1016/j.rse.2017.08.022
44. Analyzing the uncertainty of suspended sediment load prediction using sequential data assimilation M. Leisenring & H. Moradkhani 10.1016/j.jhydrol.2012.08.049
45. Assimilation of Surface- and Root-Zone ASCAT Soil Moisture Products Into Rainfall–Runoff Modeling L. Brocca et al. 10.1109/TGRS.2011.2177468