88 citations as recorded by crossref.

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40. Long-term ensemble forecast of snowmelt inflow into the Cheboksary Reservoir under two different weather scenarios A. Gelfan et al. 10.5194/hess-22-2073-2018
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47. Recursively updating the error forecasting scheme of a complementary modelling framework for improved reservoir inflow forecasts A. Gragne et al. 10.1016/j.jhydrol.2015.05.039
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49. A physically based and machine learning hybrid approach for accurate rainfall-runoff modeling during extreme typhoon events C. Young et al. 10.1016/j.asoc.2016.12.052
50. 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
51. Combined assimilation of streamflow and snow water equivalent for mid-term ensemble streamflow forecasts in snow-dominated regions J. Bergeron et al. 10.5194/hess-20-4375-2016
52. Variational assimilation of streamflow data in distributed flood forecasting G. Ercolani & F. Castelli 10.1002/2016WR019208
53. Improving flood forecasting using an input correction method in urban models in poorly gauged areas M. Fava et al. 10.1080/02626667.2020.1729984
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55. A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation Z. Musa et al. 10.5194/hess-19-3755-2015
56. Nonparametric catchment clustering using the data depth function S. Singh et al. 10.1080/02626667.2016.1168927
57. Validation of a national hydrological model H. McMillan et al. 10.1016/j.jhydrol.2016.07.043
58. Review of the Kalman-type hydrological data assimilation L. Sun et al. 10.1080/02626667.2015.1127376
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60. RBFNN Versus Empirical Models for Lag Time Prediction in Tropical Humid Rivers M. Seyam et al. 10.1007/s11269-016-1518-0
61. The Met Office Operational Soil Moisture Analysis System B. Gómez et al. 10.3390/rs12223691
62. Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
63. Discharge Estimation via Assimilation of Multisatellite-Based Discharge Products: Case Study Over the Amazon Basin C. Emery et al. 10.1109/LGRS.2020.3020285
64. Assimilating uncertain, dynamic and intermittent streamflow observations in hydrological models M. Mazzoleni et al. 10.1016/j.advwatres.2015.07.004
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66. Underlying Fundamentals of Kalman Filtering for River Network Modeling C. Emery et al. 10.1175/JHM-D-19-0084.1
67. State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation J. Gong et al. 10.1016/j.jhydrol.2023.129450
68. On noise specification in data assimilation schemes for improved flood forecasting using distributed hydrological models S. Noh et al. 10.1016/j.jhydrol.2014.07.049
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82. Comparison of Sequential and Variational Streamflow Assimilation Techniques for Short-Term Hydrological Forecasting M. Abaza et al. 10.1061/(ASCE)HE.1943-5584.0001013
83. Assimilation of citizen science data in snowpack modeling using a new snow data set: Community Snow Observations R. Crumley et al. 10.5194/hess-25-4651-2021
84. Analysis of rainfall intensity impact on the lag time estimation in tropical humid rivers e. Seyam 10.21833/ijaas.2017.010.003
85. Improving Treatment of Noise Specification of Kalman Filtering for State Updating of Hydrological Models: Combining the Strengths of the Interacting Multiple Model Method and Cubature Kalman Filter Y. Sun et al. 10.1029/2022WR033635
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87. Impact of improved meteorological forcing, profile of soil hydraulic conductivity and data assimilation on an operational Hydrological Ensemble Forecast System over France M. Coustau et al. 10.1016/j.jhydrol.2015.04.022
88. Assimilation of soil moisture and streamflow observations to improve flood forecasting with considering runoff routing lags S. Meng et al. 10.1016/j.jhydrol.2017.05.024