44 citations as recorded by crossref.

1. Assimilation of Synthetic SWOT River Depths in a Regional Hydrometeorological Model V. Häfliger et al. https://doi.org/10.3390/w11010078
2. Integrating remotely sensed surface water extent into continental scale hydrology B. Revilla-Romero et al. https://doi.org/10.1016/j.jhydrol.2016.10.041
3. Improving the representation of hydrologic processes in Earth System Models M. Clark et al. https://doi.org/10.1002/2015WR017096
4. Altimetry for the future: Building on 25 years of progress S. Abdalla et al. https://doi.org/10.1016/j.asr.2021.01.022
5. The effects of non-local observations on the adjoint estimation of local model parameters: An example of Manning’s n coefficient in a tidal model over the Bohai, Yellow, and East China Seas Z. Wei et al. https://doi.org/10.1016/j.jhydrol.2024.131437
6. Floods From Space: How Remote Sensing, AI, and Cloud Platforms Are Reshaping Disaster Risk Reduction R. Kemarau et al. https://doi.org/10.1111/jfr3.70214
7. Generating Proxy SWOT Water Surface Elevations Using WRF‐Hydro and the CNES SWOT Hydrology Simulator N. Elmer et al. https://doi.org/10.1029/2020WR027464
8. Extending the historical in situ gauge network over Indian river reaches utilizing the Surface Water and Ocean Topography (SWOT) mission M. Soman & J. Indu https://doi.org/10.1080/02626667.2024.2368755
9. Sequential data assimilation for real-time probabilistic flood inundation mapping K. Jafarzadegan et al. https://doi.org/10.5194/hess-25-4995-2021
10. APPLICATION OF DATA ASSIMILATION FOR A GLOBAL RIVER MODEL: A VIRTUAL EXPERIMENT AT THE AMAZON BASIN D. IKESHIMA et al. https://doi.org/10.2208/jscejhe.73.I_175
11. Applicability of SWOT data in calibrating WRF-Hydro hydrological model over the Tawa River basin K. Verma & I. J. https://doi.org/10.1080/10106049.2023.2185292
12. Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters C. Emery et al. https://doi.org/10.5194/hess-24-2207-2020
13. Surface Water Storage in Rivers and Wetlands Derived from Satellite Observations: A Review of Current Advances and Future Opportunities for Hydrological Sciences F. Papa & F. Frappart https://doi.org/10.3390/rs13204162
14. Enhancing SWOT discharge assimilation through spatiotemporal correlations Y. Yang et al. https://doi.org/10.1016/j.rse.2019.111450
15. Estimation of the Madeira floodplain dynamics from 2008 to 2018 J. Guilhen et al. https://doi.org/10.3389/frwa.2022.952810
16. A pan-African medium-range ensemble flood forecast system V. Thiemig et al. https://doi.org/10.5194/hess-19-3365-2015
17. A review of remote sensing applications for water security: Quantity, quality, and extremes I. Chawla et al. https://doi.org/10.1016/j.jhydrol.2020.124826
18. Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river M. Revel et al. https://doi.org/10.5194/hess-27-647-2023
19. Temporal Variance-Based Sensitivity Analysis of the River-Routing Component of the Large-Scale Hydrological Model ISBA–TRIP: Application on the Amazon Basin C. Emery et al. https://doi.org/10.1175/JHM-D-16-0050.1
20. Estimation of the Manning’s n coefficient in multi-constituent tidal models by assimilating satellite observations with the adjoint data assimilation D. Wang et al. https://doi.org/10.3389/fmars.2023.1151951
21. SDNet: a multi-scale SWOT framework for denoising and quality-control optimization in inland water body extraction H. Xu et al. https://doi.org/10.1080/15481603.2026.2636315
22. Utilization of satellite altimetry retrieved river roughness properties in hydraulic flow modelling of braided river system A. Dubey et al. https://doi.org/10.1080/15715124.2020.1830785
23. The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas J. Bernard et al. https://doi.org/10.5194/essd-17-2985-2025
24. Management of vegetative land for more water yield under future climate conditions in the over-utilized water resources regions: A case study in the Xiong’an New area L. Ye et al. https://doi.org/10.1016/j.jhydrol.2021.126563
25. Quantifying wavelengths constrained by simulated SWOT observations in a submesoscale resolving ocean analysis/forecasting system J. D'Addezio et al. https://doi.org/10.1016/j.ocemod.2019.02.001
26. HydroBlocks-MSSUBv0.1: a multiscale approach for simulating lateral subsurface flow dynamics in Land Surface Models D. Guyumus et al. https://doi.org/10.5194/gmd-19-477-2026
27. SWOT satellite for global hydrological applications: accuracy assessment and insights into surface water dynamics J. Yao et al. https://doi.org/10.1080/17538947.2025.2472924
28. The SWOT Mission and Its Capabilities for Land Hydrology S. Biancamaria et al. https://doi.org/10.1007/s10712-015-9346-y
29. High-spatial-resolution streamflow estimation at ungauged river sites or gauged sites with missing data using the National Hydrography Dataset (NHD) and U.S. Geological Survey (USGS) streamflow data D. Kim https://doi.org/10.1016/j.jhydrol.2018.08.074
30. Drought driven shrinkage of surface water bodies in India M. Niranjannaik & V. Mishra https://doi.org/10.1016/j.isci.2026.116737
31. On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales T. Lopez et al. https://doi.org/10.1007/s10712-020-09618-0
32. Assimilation of future SWOT-based river elevations, surface extent observations and discharge estimations into uncertain global hydrological models S. Wongchuig-Correa et al. https://doi.org/10.1016/j.jhydrol.2020.125473
33. Hydrologic Model Parameter Estimation in Ungauged Basins Using Simulated SWOT Discharge Observations N. Elmer et al. https://doi.org/10.1029/2021WR029655
34. Monitoring potential of reservoir storage driven by SWOT pixel cloud: a case study of the Gezhouba Reservoir Y. Zhao et al. https://doi.org/10.1080/15481603.2026.2711484
35. Towards Digital Twin in Flood Forecasting with Data Assimilation Satellite Earth Observations—A Proof-of-Concept T. Nguyen et al. https://doi.org/10.3390/rs18050685
36. Underlying Fundamentals of Kalman Filtering for River Network Modeling C. Emery et al. https://doi.org/10.1175/JHM-D-19-0084.1
37. A Physically Based Empirical Localization Method for Assimilating Synthetic SWOT Observations of a Continental-Scale River: A Case Study in the Congo Basin M. Revel et al. https://doi.org/10.3390/w11040829
38. Watershed controls and tropical cyclone-induced changes in river hydraulic geometry in Puerto Rico Y. Li et al. https://doi.org/10.1016/j.ejrh.2022.101268
39. Developing observational methods to drive future hydrological science: Can we make a start as a community? K. Beven et al. https://doi.org/10.1002/hyp.13622
40. A new look at Earth’s water and energy with SWOT N. Vinogradova et al. https://doi.org/10.1038/s44221-024-00372-w
41. The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration C. Nickles et al. https://doi.org/10.3390/rs12193241
42. Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al. https://doi.org/10.1029/2022RG000788
43. Inroads of remote sensing into hydrologic science during the WRR era D. Lettenmaier et al. https://doi.org/10.1002/2015WR017616
44. A Framework for Estimating Global‐Scale River Discharge by Assimilating Satellite Altimetry M. Revel et al. https://doi.org/10.1029/2020WR027876