33 citations as recorded by crossref.

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5. Coupled inverse modeling of a controlled irrigation experiment using multiple hydro-geophysical data M. Rossi et al. 10.1016/j.advwatres.2015.03.008
6. Simultaneous estimation of soil moisture and hydraulic parameters using residual resampling particle filter H. Bi et al. 10.1007/s11430-013-4742-y
7. Electromagnetic techniques in geoenvironmental engineering N. Wagner & A. Scheuermann 10.1680/envgeo.13.00104
8. Evolution of ensemble data assimilation for uncertainty quantification using the particle filter‐Markov chain Monte Carlo method H. Moradkhani et al. 10.1029/2012WR012144
9. Identification of high-permeability subsurface structures with multiple point geostatistics and normal score ensemble Kalman filter F. Zovi et al. 10.1016/j.jhydrol.2017.02.056
10. Assessment of hydraulic conductivity distributions through assimilation of travel time data from ERT-monitored tracer tests E. Crestani et al. 10.1016/j.advwatres.2015.07.022
11. Improving soil moisture profile reconstruction from ground-penetrating radar data: a maximum likelihood ensemble filter approach A. Tran et al. 10.5194/hess-17-2543-2013
12. Electrical Resistivity for Characterization and Infiltration Monitoring beneath a Managed Aquifer Recharge Pond C. Mawer et al. 10.2136/vzj2011.0203
13. Hard-rock investigation using a non-invasive geophysical approach M. Hasan & Y. Shang 10.1016/j.jappgeo.2022.104808
14. Using time‐lapse gravity for groundwater model calibration: An application to alluvial aquifer storage L. Christiansen et al. 10.1029/2010WR009859
15. Multivariate and Multiscale Data Assimilation in Terrestrial Systems: A Review C. Montzka et al. 10.3390/s121216291
16. The benefits of gravimeter observations for modelling water storage changes at the field scale B. Creutzfeldt et al. 10.5194/hess-14-1715-2010
17. Assimilation of microwave brightness temperatures for soil moisture estimation using particle filter H. Bi et al. 10.1088/1755-1315/17/1/012126
18. Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation C. DeChant & H. Moradkhani 10.5194/hess-15-3399-2011
19. Applying sequential Monte Carlo methods into a distributed hydrologic model: lagged particle filtering approach with regularization S. Noh et al. 10.5194/hess-15-3237-2011
20. Calibrating Vadose Zone Models with Time‐Lapse Gravity Data L. Christiansen et al. 10.2136/vzj2010.0127
21. On uncertainty quantification in hydrogeology and hydrogeophysics N. Linde et al. 10.1016/j.advwatres.2017.10.014
22. Relating relative hydraulic and electrical conductivity in the unsaturated zone C. Mawer et al. 10.1002/2014WR015658
23. Analyzing the uncertainty of suspended sediment load prediction using sequential data assimilation M. Leisenring & H. Moradkhani 10.1016/j.jhydrol.2012.08.049
24. Assessment of local hydraulic properties from electrical resistivity tomography monitoring of a three‐dimensional synthetic tracer test experiment M. Camporese et al. 10.1029/2011WR010528
25. Constraining Unsaturated Hydraulic Parameters Using the Latin Hypercube Sampling Method and Coupled Hydrogeophysical Approach M. Farzamian et al. 10.1007/s00024-017-1656-1
26. 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
27. Hydro-geophysical monitoring of orchard root zone dynamics in semi-arid region Z. Moreno et al. 10.1007/s00271-015-0467-3
28. Geophysical and hydrological data assimilation to monitor water content dynamics in the rocky unsaturated zone L. De Carlo et al. 10.1007/s10661-018-6671-x
29. Estimating the permeability distribution and its uncertainty at the EGS demonstration reservoir Soultz‐sous‐Forêts using the ensemble Kalman filter C. Vogt et al. 10.1029/2011WR011673
30. Coupled Hydrogeophysical Inversion of Streaming Potential Signals for Unsaturated Soil Hydraulic Properties C. Mboh et al. 10.2136/vzj2011.0115
31. PFLOTRAN-E4D: A parallel open source PFLOTRAN module for simulating time-lapse electrical resistivity data T. Johnson et al. 10.1016/j.cageo.2016.09.006
32. Dual states estimation of a subsurface flow-transport coupled model using ensemble Kalman filtering M. Gharamti et al. 10.1016/j.advwatres.2013.07.011
33. Ensemble Kalman filter versus particle filter for a physically-based coupled surface–subsurface model D. Pasetto et al. 10.1016/j.advwatres.2012.06.009