45 citations as recorded by crossref.

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4. Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
5. A new cost-performance grid to compare different flood modelling approaches R. Hdeib et al. 10.1080/02626667.2021.1873346
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7. The potential for remote sensing and hydrologic modelling to assess the spatio-temporal dynamics of ponds in the Ferlo Region (Senegal) V. Soti et al. 10.5194/hess-14-1449-2010
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20. Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems W. Lahoz & G. De Lannoy 10.1007/s10712-013-9221-7
21. Reproducing an extreme flood with uncertain post-event information D. Fuentes-Andino et al. 10.5194/hess-21-3597-2017
22. Calibrating a hydrological model in ungauged small river basins of the northeastern Tibetan Plateau based on near-infrared images Z. Yu et al. 10.1016/j.jhydrol.2023.129158
23. Towards the sequential assimilation of SAR-derived water stages into hydraulic models using the Particle Filter: proof of concept P. Matgen et al. 10.5194/hess-14-1773-2010
24. The use of remote sensing-derived water surface data for hydraulic model calibration A. Domeneghetti et al. 10.1016/j.rse.2014.04.007
25. Assimilating SAR-derived water level data into a hydraulic model: a case study L. Giustarini et al. 10.5194/hess-15-2349-2011
26. A Novel Approach for the Integral Management of Water Extremes in Plain Areas C. Guevara Ochoa et al. 10.3390/hydrology6030070
27. Flood Hazard Assessment of Bago River Basin, Myanmar W. Zin et al. 10.20965/jdr.2018.p0014
28. Use of ENVISAT ASAR Global Monitoring Mode to complement optical data in the mapping of rapid broad-scale flooding in Pakistan D. O'Grady et al. 10.5194/hess-15-3475-2011
29. A drifting GPS buoy for retrieving effective riverbed bathymetry R. Hostache et al. 10.1016/j.jhydrol.2014.11.018
30. A multi‐temporal analysis of AMSR‐E data for flood and discharge monitoring during the 2008 flood in Iowa M. Temimi et al. 10.1002/hyp.8020
31. Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium-resolution SAR data and identifiability techniques M. Wood et al. 10.5194/hess-20-4983-2016
32. Real-time remote sensing driven river basin modeling using radar altimetry S. Pereira-Cardenal et al. 10.5194/hess-15-241-2011
33. Calibrating a hydrological model in a regional river of the Qinghai–Tibet plateau using river water width determined from high spatial resolution satellite images W. Sun et al. 10.1016/j.rse.2018.05.020
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36. A spatial–temporal graph deep learning model for urban flood nowcasting leveraging heterogeneous community features H. Farahmand et al. 10.1038/s41598-023-32548-x
37. Multivariable Integrated Evaluation of Hydrodynamic Modeling: A Comparison of Performance Considering Different Baseline Topography Data P. Modi et al. 10.1029/2021WR031819
38. Hydraulic modelling calibration in small rivers by using coarse resolution synthetic aperture radar imagery A. Tarpanelli et al. 10.1002/hyp.9550
39. Impact of rainstorm patterns on the urban flood process superimposed by flash floods and urban waterlogging based on a coupled hydrologic–hydraulic model: a case study in a coastal mountainous river basin within southeastern China W. Jiang & J. Yu 10.1007/s11069-021-05182-x
40. Bare soil hydrological balance model “MHYSAN”: Calibration and validation using SAR moisture products and continuous thetaprobe network measurements over bare agricultural soils (Tunisia) A. Gorrab et al. 10.1016/j.jaridenv.2016.12.005
41. CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction Z. Li et al. 10.1016/j.envsoft.2021.105051
42. Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model S. Gobeyn et al. 10.1016/j.advwatres.2016.12.005
43. Near‐Real‐Time Assimilation of SAR‐Derived Flood Maps for Improving Flood Forecasts R. Hostache et al. 10.1029/2017WR022205
44. Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. 10.5194/hess-24-3331-2020
45. Assessing robustness in global hydrological predictions by comparing modelling and Earth observations R. Pimentel et al. 10.1080/02626667.2023.2267544