143 citations as recorded by crossref.

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28. SWAT‐Based Hydrological Data Assimilation System (SWAT‐HDAS): Description and Case Application to River Basin‐Scale Hydrological Predictions Y. Zhang et al. 10.1002/2017MS001144
29. Assessment of bottom-up satellite rainfall products on estimating river discharge and hydrologic signatures in Brazilian catchments A. Almagro et al. 10.1016/j.jhydrol.2021.126897
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31. Improving Rain/No-Rain Detection Skill by Merging Precipitation Estimates from Different Sources J. Dong et al. 10.1175/JHM-D-20-0097.1
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37. Evaluating the impact of climate change on surface water resources in the upper Ganjiang River Basin, China P. Song et al. 10.2166/wcc.2022.258
38. Comparison of sequential and variational assimilation methods to improve hydrological predictions in snow dominated mountainous catchments R. Alvarado-Montero et al. 10.1016/j.jhydrol.2022.127981
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45. Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia R. Vernimmen et al. 10.5194/hess-16-133-2012
46. Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction C. Massari et al. 10.3390/rs10020292
47. Satellite soil moisture data assimilation for improved operational continental water balance prediction S. Tian et al. 10.5194/hess-25-4567-2021
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53. Performance of Different Ensemble Kalman Filter Structures to Assimilate GRACE Terrestrial Water Storage Estimates Into a High‐Resolution Hydrological Model: A Synthetic Study A. Shokri et al. 10.1029/2018WR022785
54. Adjustment to the curve number (NRCS-CN) to account for the vegetation effect on hydrological processes A. Gonzalez et al. 10.1080/02626667.2014.898119
55. Assessment of Remotely Sensed and Modelled Soil Moisture Data Products in the U.S. Southern Great Plains B. Jiang et al. 10.3390/rs12122030
56. 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
57. Predicting event response in a nested catchment with generalized linear models and a distributed watershed model T. Graeff et al. 10.1002/hyp.8463
58. The value of glacier mass balance, satellite snow cover images, and hourly discharge for improving the performance of a physically based distributed hydrological model D. Finger et al. 10.1029/2010WR009824
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60. Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. 10.1029/2022RG000788
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62. Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y. Liu et al. 10.5194/hess-16-3863-2012
63. Impact of different satellite soil moisture products on the predictions of a continuous distributed hydrological model P. Laiolo et al. 10.1016/j.jag.2015.06.002
64. Assimilation of Sentinel 1 and SMAP – based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins S. Azimi et al. 10.1016/j.jhydrol.2019.124367
65. On the Choice of Metric to Calibrate Time-Invariant Ensemble Kalman Filter Hyper-Parameters for Discharge Data Assimilation and Its Impact on Discharge Forecast Modelling J. Bergeron et al. 10.3390/hydrology8010036
66. Integrating coarse-scale uncertain soil moisture data into a fine-scale hydrological modelling scenario H. Vernieuwe et al. 10.5194/hess-15-3101-2011
67. Remotely sensed ET for streamflow modelling in catchments with contrasting flow characteristics: an attempt to improve efficiency A. Kunnath-Poovakka et al. 10.1007/s00477-018-1528-y
68. Potentials and constraints of different types of soil moisture observations for flood simulations in headwater catchments A. Bronstert et al. 10.1007/s11069-011-9874-9
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72. Evidence of a topographic signal in surface soil moisture derived from ENVISAT ASAR wide swath data D. Mason et al. 10.1016/j.jag.2015.02.004
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75. A comparison of ASCAT and modelled soil moisture over South Africa, using TOPKAPI in land surface mode S. Sinclair & G. Pegram 10.5194/hess-14-613-2010
76. A multi-source satellite data approach for modelling Lake Turkana water level: calibration and validation using satellite altimetry data N. Velpuri et al. 10.5194/hess-16-1-2012
77. Can SMOS Data be Used Directly on the 15-km Discrete Global Grid? G. Dumedah et al. 10.1109/TGRS.2013.2262501
78. Data Assimilation of Terrestrial Water Storage Observations to Estimate Precipitation Fluxes: A Synthetic Experiment M. Girotto et al. 10.3390/rs13061223
79. A Multi‐Scale Soil Moisture Monitoring Strategy for California: Design and Validation J. Curtis et al. 10.1111/1752-1688.12744
80. Impact of soil moisture on dust outbreaks in East Asia: Using satellite and assimilation data H. Kim & M. Choi 10.1002/2015GL063325
81. Retrieving accurate soil moisture over the Tibetan Plateau using multi-source remote sensing data assimilation with simultaneous state and parameter estimations W. Chen et al. 10.1175/JHM-D-20-0298.1
82. Potential of soil moisture observations in flood modelling: Estimating initial conditions and correcting rainfall C. Massari et al. 10.1016/j.advwatres.2014.08.004
83. A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation S. Kim et al. 10.1007/s41976-019-00025-7
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85. Streamflow data assimilation in SWAT model using Extended Kalman Filter L. Sun et al. 10.1016/j.jhydrol.2015.10.060
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89. The Potential Evaluation of Multisource Remote Sensing Data for Extracting Soil Moisture Based on the Method of BP Neural Network H. Ma & S. Liu 10.1080/07038992.2016.1160773
90. Mapping high‐resolution soil moisture and properties using distributed temperature sensing data and an adaptive particle batch smoother J. Dong et al. 10.1002/2016WR019031
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