74 citations as recorded by crossref.

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28. Variational assimilation of streamflow data in distributed flood forecasting G. Ercolani & F. Castelli 10.1002/2016WR019208
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37. Multi-parametric variational data assimilation for hydrological forecasting R. Alvarado-Montero et al. 10.1016/j.advwatres.2017.09.026
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44. Operational river discharge forecasting in poorly gauged basins: the Kavango River basin case study P. Bauer-Gottwein et al. 10.5194/hess-19-1469-2015
45. Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction M. El Gharamti et al. 10.5194/hess-28-3133-2024
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47. State updating of the Xin'anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models J. Gong et al. 10.5194/hess-29-335-2025
48. Determining soil moisture and soil properties in vegetated areas by assimilating soil temperatures J. Dong et al. 10.1002/2015WR018425
49. Exploration of sequential streamflow assimilation in snow dominated watersheds M. Abaza et al. 10.1016/j.advwatres.2015.10.008
50. Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale G. Piazzi et al. 10.1029/2020WR028390
51. Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin N. Tangdamrongsub et al. 10.5194/hess-19-2079-2015
52. Towards reliable uncertainty quantification for hydrologic predictions, part II: Characterizing impacts of uncertain factors through an iterative factorial data assimilation framework Y. Fan et al. 10.1016/j.jhydrol.2022.128136
53. The role of rating curve uncertainty in real‐time flood forecasting D. Ocio et al. 10.1002/2016WR020225
54. Quantifying the contributions of hydrological pre-processor, post-processor, and data assimilator to ensemble streamflow prediction skill J. Zhang et al. 10.1016/j.jhydrol.2024.132611
55. A web based tool for operational real-time flood forecasting using data assimilation to update hydraulic states M. Mure-Ravaud et al. 10.1016/j.envsoft.2016.06.002
56. Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? M. Mazzoleni et al. 10.5194/hess-21-839-2017
57. Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods M. Mazzoleni et al. 10.1080/02626667.2018.1430898
58. Hydrological Evaluation of the Canadian Meteorological Ensemble Reforecast Product M. Abaza et al. 10.1080/07055900.2017.1341384
59. Improving streamflow predictions at ungauged locations with real-time updating: application of an EnKF-based state-parameter estimation strategy X. Xie et al. 10.5194/hess-18-3923-2014
60. Visibility Prediction over South Korea Based on Random Forest B. Kim et al. 10.3390/atmos12050552
61. Application of Parameter Screening to Derive Optimal Initial State Adjustments for Streamflow Forecasting J. Mai et al. 10.1029/2020WR027960
62. The Wageningen Lowland Runoff Simulator (WALRUS): a lumped rainfall–runoff model for catchments with shallow groundwater C. Brauer et al. 10.5194/gmd-7-2313-2014
63. Ensemble Streamflow Forecasting Using an Energy Balance Snowmelt Model Coupled to a Distributed Hydrologic Model with Assimilation of Snow and Streamflow Observations T. Gichamo & D. Tarboton 10.1029/2019WR025472
64. The suitability of remotely sensed soil moisture for improving operational flood forecasting N. Wanders et al. 10.5194/hess-18-2343-2014
65. Analyzing effects of climate change on streamflow in a glacier mountain catchment using an ARMA model Y. Liu et al. 10.1016/j.quaint.2014.10.001
66. Catchment tomography - An approach for spatial parameter estimation D. Baatz et al. 10.1016/j.advwatres.2017.06.006
67. Data assimilation using the ensemble Kalman filter in a distributed hydrological model on the Tocantins River, Brasil K. Jiménez et al. 10.1590/2318-0331.241920180031
68. Assimilating in situ and radar altimetry data into a large-scale hydrologic-hydrodynamic model for streamflow forecast in the Amazon R. Paiva et al. 10.5194/hess-17-2929-2013
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71. State updating in Xin’anjiang model by Asynchronous Ensemble Kalman filtering with enhanced error models J. Gong et al. 10.1016/j.jhydrol.2024.131726
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74. Simulation of algal bloom dynamics in a river with the ensemble Kalman filter K. Kim et al. 10.1016/j.jhydrol.2014.09.073