13 citations as recorded by crossref.

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5. Combining Models of Root-Zone Hydrology and Geoelectrical Measurements: Recent Advances and Future Prospects B. Mary et al. 10.3389/frwa.2021.767910
6. The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework P. Abbaszadeh et al. 10.1029/2018WR023629
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8. A Comprehensive Review and Application of Bayesian Methods in Hydrological Modelling: Past, Present, and Future Directions K. Haddad 10.3390/w17071095
9. Application of Parameter Screening to Derive Optimal Initial State Adjustments for Streamflow Forecasting J. Mai et al. 10.1029/2020WR027960
10. Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends C. Gonzales-Inca et al. 10.3390/w14142211
11. Deep‐Learning‐Based Adjoint State Method: Methodology and Preliminary Application to Inverse Modeling C. Xiao et al. 10.1029/2020WR027400
12. Towards reliable uncertainty quantification for hydrologic predictions, Part I: Development of a particle copula Metropolis Hastings method Y. Fan et al. 10.1016/j.jhydrol.2022.128163
13. A Bayesian-variational cyclic method for solving estimation problems characterized by non-uniqueness (equifinality) I. Gejadze et al. 10.1016/j.jcp.2023.112239