66 citations as recorded by crossref.

1. Catchment tomography - An approach for spatial parameter estimation D. Baatz et al. 10.1016/j.advwatres.2017.06.006
2. Mekong Delta Runoff Prediction Using Standardized Remotely-Sensed Water Balance Variables H. Fok et al. 10.3390/w12072025
3. Seasonal streamflow forecasting in South America’s largest rivers I. Petry et al. 10.1016/j.ejrh.2023.101487
4. Forecasting annual maximum water level for the Negro River at Manaus using dynamical seasonal predictions A. Chevuturi et al. 10.1016/j.cliser.2023.100342
5. High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al. 10.5194/hess-26-3921-2022
6. Multi-temporal flood mapping and satellite altimetry used to evaluate the flood dynamics of the Bolivian Amazon wetlands A. Ovando et al. 10.1016/j.jag.2018.02.013
7. Multi-decadal hydrologic change and variability in the Amazon River basin: understanding terrestrial water storage variations and drought characteristics S. Chaudhari et al. 10.5194/hess-23-2841-2019
8. Amazon Hydrology From Space: Scientific Advances and Future Challenges A. Fassoni‐Andrade et al. 10.1029/2020RG000728
9. Stage‐discharge rating curves based on satellite altimetry and modeled discharge in the Amazon basin A. Paris et al. 10.1002/2014WR016618
10. Assimilation of Satellite Altimetry Data for Effective River Bathymetry J. Brêda et al. 10.1029/2018WR024010
11. Integrated Hydrologic and Hydrodynamic Models to Improve Flood Simulation Capability in the Data-Scarce Three Gorges Reservoir Region Y. Zhang et al. 10.3390/w12051462
12. Potential skill of continental-scale, medium-range ensemble streamflow forecasts for flood prediction in South America V. Siqueira et al. 10.1016/j.jhydrol.2020.125430
13. MGB-IPH model for hydrological and hydraulic simulation of large floodplain river systems coupled with open source GIS P. Pontes et al. 10.1016/j.envsoft.2017.03.029
14. Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin P. Hulsman et al. 10.5194/hess-22-5081-2018
15. A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach X. Xu et al. 10.1016/j.envsoft.2016.11.010
16. Assimilation of future SWOT-based river elevations, surface extent observations and discharge estimations into uncertain global hydrological models S. Wongchuig-Correa et al. 10.1016/j.jhydrol.2020.125473
17. An assessment of the present hydroclimatic regime of the Madeira River basin using climate and hydrological models L. Vergasta et al. 10.1080/02626667.2023.2216844
18. Altimetry for the future: Building on 25 years of progress S. Abdalla et al. 10.1016/j.asr.2021.01.022
19. Upstream Remotely-Sensed Hydrological Variables and Their Standardization for Surface Runoff Reconstruction and Estimation of the Entire Mekong River Basin L. Zhou et al. 10.3390/rs11091064
20. Toward Discharge Estimation for Water Resources Management with a Semidistributed Model and Local Ensemble Kalman Filter Data Assimilation S. Wongchuig et al. 10.1061/(ASCE)HE.1943-5584.0002027
21. Hydropower dam operation strongly controls Lake Victoria's freshwater storage variability A. Getirana et al. 10.1016/j.scitotenv.2020.138343
22. Near real-time altimetry for river monitoring—a global assessment of Sentinel-3 L. Jiang et al. 10.1088/1748-9326/acdd16
23. Value of distributed water level and soil moisture data in the evaluation of a distributed hydrological model: Application to the PUMMA model in the Mercier catchment (6.6 km2) in France M. Fuamba et al. 10.1016/j.jhydrol.2018.12.035
24. Radar Altimetry as a Proxy for Determining Terrestrial Water Storage Variability in Tropical Basins D. Melo & A. Getirana 10.3390/rs11212487
25. Extreme seasonal droughts and floods in Amazonia: causes, trends and impacts J. Marengo & J. Espinoza 10.1002/joc.4420
26. River hydraulic modeling with ICESat-2 land and water surface elevation M. Coppo Frias et al. 10.5194/hess-27-1011-2023
27. Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
28. An era of Sentinels in flood management: Potential of Sentinel-1, -2, and -3 satellites for effective flood management S. Kuntla 10.1515/geo-2020-0325
29. 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
30. Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river M. Revel et al. 10.5194/hess-27-647-2023
31. Large-scale sediment modeling with inertial flow routing: Assessment of Madeira river basin L. Föeger et al. 10.1016/j.envsoft.2022.105332
32. 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
33. Improved modeling of Congo's hydrology for floods and droughts analysis and ENSO teleconnections S. Wongchuig et al. 10.1016/j.ejrh.2023.101563
34. Exploring the potential of SWOT mission for reservoir monitoring in Mahanadi basin A. Nair et al. 10.1016/j.asr.2021.11.019
35. Indus river water level monitoring using satellite radar altimetry A. Zaidi et al. 10.1016/j.asr.2020.03.044
36. The use of SARAL/AltiKa altimeter measurements for multi-site hydrodynamic model validation and rating curves estimation: An application to Brahmaputra River P. Dhote et al. 10.1016/j.asr.2020.05.012
37. Nowcast flood predictions in the Amazon watershed based on the remotely sensed rainfall product PDIRnow and artificial neural networks H. Filho et al. 10.1007/s10661-024-12396-6
38. Inland Surface Waters Quantity Monitored from Remote Sensing J. Cretaux et al. 10.1007/s10712-023-09803-x
39. Impacts of Fully Coupling Land Surface and Flood Models on the Simulation of Large Wetlands' Water Dynamics: The Case of the Inner Niger Delta A. Getirana et al. 10.1029/2021MS002463
40. Postprocessing continental-scale, medium-range ensemble streamflow forecasts in South America using Ensemble Model Output Statistics and Ensemble Copula Coupling V. Siqueira et al. 10.1016/j.jhydrol.2021.126520
41. A review of remote sensing applications for water security: Quantity, quality, and extremes I. Chawla et al. 10.1016/j.jhydrol.2020.124826
42. Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry W. Li et al. 10.3390/rs14194904
43. 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
44. Estimating River Depth from SWOT-Type Observables Obtained by Satellite Altimetry and Imagery M. Tourian et al. 10.3390/w9100753
45. Sub seasonal streamflow forecast assessment at large-scale basins E. Schmitt Quedi & F. Mainardi Fan 10.1016/j.jhydrol.2020.124635
46. Spatiotemporal interpolation of discharge across a river network by using synthetic SWOT satellite data R. Paiva et al. 10.1002/2014WR015618
47. 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
48. 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
49. 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
50. Hydrological reanalysis across the 20th century: A case study of the Amazon Basin S. Wongchuig et al. 10.1016/j.jhydrol.2019.01.025
51. River discharge estimation at daily resolution from satellite altimetry over an entire river basin M. Tourian et al. 10.1016/j.jhydrol.2017.01.009
52. 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
53. 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
54. Application of CryoSat-2 altimetry data for river analysis and modelling R. Schneider et al. 10.5194/hess-21-751-2017
55. Potentials and limitations of Sentinel-3 for river discharge assessment A. Tarpanelli et al. 10.1016/j.asr.2019.08.005
56. A Framework for Estimating Global‐Scale River Discharge by Assimilating Satellite Altimetry M. Revel et al. 10.1029/2020WR027876
57. Hydraulic Model Calibration Using CryoSat‐2 Observations in the Zambezi Catchment C. Kittel et al. 10.1029/2020WR029261
58. 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
59. Underlying Fundamentals of Kalman Filtering for River Network Modeling C. Emery et al. 10.1175/JHM-D-19-0084.1
60. Particle filter for high frequency oxygen data assimilation in river systems S. Wang et al. 10.1016/j.envsoft.2022.105382
61. Spatiotemporal assimilation–interpolation of discharge records through inverse streamflow routing C. Fisher et al. 10.5194/hess-24-293-2020
62. AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al. 10.5194/essd-16-75-2024
63. Operational reservoir inflow forecasting with radar altimetry: the Zambezi case study C. Michailovsky & P. Bauer-Gottwein 10.5194/hess-18-997-2014
64. Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions J. Sheffield et al. 10.1029/2017WR022437
65. 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
66. A data assimilation system combining CryoSat-2 data and hydrodynamic river models R. Schneider et al. 10.1016/j.jhydrol.2017.11.052