70 citations as recorded by crossref.

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34. An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
35. Improved modeling of Congo's hydrology for floods and droughts analysis and ENSO teleconnections S. Wongchuig et al. 10.1016/j.ejrh.2023.101563
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44. Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry W. Li et al. 10.3390/rs14194904
45. Coupling large-scale hydrological and hydrodynamic modeling: Toward a better comprehension of watershed-shallow lake processes A. Munar et al. 10.1016/j.jhydrol.2018.07.045
46. Estimating River Depth from SWOT-Type Observables Obtained by Satellite Altimetry and Imagery M. Tourian et al. 10.3390/w9100753
47. Sub seasonal streamflow forecast assessment at large-scale basins E. Schmitt Quedi & F. Mainardi Fan 10.1016/j.jhydrol.2020.124635
48. Spatiotemporal interpolation of discharge across a river network by using synthetic SWOT satellite data R. Paiva et al. 10.1002/2014WR015618
49. On the contribution of remote sensing-based calibration to model hydrological and hydraulic processes in tropical regions A. Meyer Oliveira et al. 10.1016/j.jhydrol.2021.126184
50. Leveraging multi-variable observations to reduce and quantify the output uncertainty of a global hydrological model: evaluation of three ensemble-based approaches for the Mississippi River basin P. Döll et al. 10.5194/hess-28-2259-2024
51. Assimilating water level observations with the ensemble optimal interpolation scheme into a rainfall‐runoff‐inundation model: A repository‐based dynamic covariance matrix generation approach M. Khaniya et al. 10.1111/jfr3.13017
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54. Evaluation of the ECMWF System 4 climate forecasts for streamflow forecasting in the Upper Hanjiang River Basin F. Tian et al. 10.2166/nh.2018.176
55. A framework for generating rating curves in Mahanadi River using hydrodynamic model and radar altimetry data P. Dhote et al. 10.1080/02626667.2024.2430387
56. Extending the historical in situ gauge network over Indian river reaches utilizing the Surface Water and Ocean Topography (SWOT) mission M. Soman & J. Indu 10.1080/02626667.2024.2368755
57. Application of CryoSat-2 altimetry data for river analysis and modelling R. Schneider et al. 10.5194/hess-21-751-2017
58. Potentials and limitations of Sentinel-3 for river discharge assessment A. Tarpanelli et al. 10.1016/j.asr.2019.08.005
59. A Framework for Estimating Global‐Scale River Discharge by Assimilating Satellite Altimetry M. Revel et al. 10.1029/2020WR027876
60. Hydraulic Model Calibration Using CryoSat‐2 Observations in the Zambezi Catchment C. Kittel et al. 10.1029/2020WR029261
61. Impact of assimilating dam outflow measurements to update distributed hydrological model states: Localization for improving ensemble Kalman filter performance M. Khaniya et al. 10.1016/j.jhydrol.2022.127651
62. Hydraulics of Time-Variable Water Surface Slope in Rivers Observed by Satellite Altimetry P. Bauer-Gottwein et al. 10.3390/rs16214010
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66. AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al. 10.5194/essd-16-75-2024
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68. Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions J. Sheffield et al. 10.1029/2017WR022437
69. Generation and analysis of stage-fall-discharge laws from coupled hydrological-hydraulic river network model integrating sparse multi-satellite data T. Malou et al. 10.1016/j.jhydrol.2021.126993
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