69 citations as recorded by crossref.

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27. Variational assimilation of streamflow data in distributed flood forecasting G. Ercolani & F. Castelli 10.1002/2016WR019208
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43. 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
44. Comparative evaluation of performances of different conceptualisations of distributed HBV runoff response routines for prediction of hourly streamflow in boreal mountainous catchments T. Hailegeorgis & K. Alfredsen 10.2166/nh.2014.051
45. Determining soil moisture and soil properties in vegetated areas by assimilating soil temperatures J. Dong et al. 10.1002/2015WR018425
46. Exploration of sequential streamflow assimilation in snow dominated watersheds M. Abaza et al. 10.1016/j.advwatres.2015.10.008
47. 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
48. 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
49. 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
50. The role of rating curve uncertainty in real‐time flood forecasting D. Ocio et al. 10.1002/2016WR020225
51. 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
52. Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? M. Mazzoleni et al. 10.5194/hess-21-839-2017
53. 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
54. Hydrological Evaluation of the Canadian Meteorological Ensemble Reforecast Product M. Abaza et al. 10.1080/07055900.2017.1341384
55. 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
56. Visibility Prediction over South Korea Based on Random Forest B. Kim et al. 10.3390/atmos12050552
57. Application of Parameter Screening to Derive Optimal Initial State Adjustments for Streamflow Forecasting J. Mai et al. 10.1029/2020WR027960
58. 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
59. 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
60. The suitability of remotely sensed soil moisture for improving operational flood forecasting N. Wanders et al. 10.5194/hess-18-2343-2014
61. 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
62. Catchment tomography - An approach for spatial parameter estimation D. Baatz et al. 10.1016/j.advwatres.2017.06.006
63. 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
64. 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
65. Participatory early warning and monitoring systems: A Nordic framework for web-based flood risk management H. Henriksen et al. 10.1016/j.ijdrr.2018.01.038
66. Development and evaluation of a hydrologic data-assimilation scheme for short-range flow and inflow forecasts in a data-sparse high-latitude region using a distributed model and ensemble Kalman filtering J. Samuel et al. 10.1016/j.advwatres.2019.06.004
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