42 citations as recorded by crossref.

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4. Observation operators for assimilation of satellite observations in fluvial inundation forecasting E. Cooper et al. 10.5194/hess-23-2541-2019
5. Web data mining for automatic inventory of geohazards at national scale A. Battistini et al. 10.1016/j.apgeog.2013.06.012
6. Analysis of the hydrological response of a distributed physically-based model using post-assimilation (EnKF) diagnostics of streamflow and in situ soil moisture observations M. Trudel et al. 10.1016/j.jhydrol.2014.03.072
7. Mapping floods from remote sensing data and quantifying the effects of surface obstruction by clouds and vegetation A. Shastry et al. 10.1016/j.rse.2023.113556
8. Real-time correction of water stage forecast using combination of forecasted errors by time series models and Kalman filter method J. Shen et al. 10.1007/s00477-015-1074-9
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10. Improvement of Flood Extent Representation With Remote Sensing Data and Data Assimilation T. Nguyen et al. 10.1109/TGRS.2022.3147429
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12. Ensemble-based algorithm for error reduction in hydraulics in the context of flood forecasting S. Barthélémy et al. 10.1051/e3sconf/20160718022
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16. Modular optimized data assimilation and support vector machine for hydrologic modeling M. Mehrparvar & K. Asghari 10.2166/hydro.2018.009
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18. Benefits and limitations of data assimilation for discharge forecasting using an event-based rainfall–runoff model M. Coustau et al. 10.5194/nhess-13-583-2013
19. Improving flood inundation forecasts through the assimilation of in situ floodplain water level measurements based on alternative observation network configurations A. Van Wesemael et al. 10.1016/j.advwatres.2019.05.025
20. Assessing the Potential of Upcoming Satellite Altimeter Missions in Operational Flood Forecasting Systems A. Falck et al. 10.3390/rs13214459
21. Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods M. Mazzoleni et al. 10.1080/02626667.2018.1430898
22. Research on water level forecasting and hydraulic parameter calibration in the 1D open channel hydrodynamic model using data assimilation L. Kong et al. 10.1016/j.jhydrol.2023.129997
23. Spatiotemporal interpolation of discharge across a river network by using synthetic SWOT satellite data R. Paiva et al. 10.1002/2014WR015618
24. Ensemble-based data assimilation for operational flood forecasting – On the merits of state estimation for 1D hydrodynamic forecasting through the example of the “Adour Maritime” river S. Barthélémy et al. 10.1016/j.jhydrol.2017.06.017
25. Enhancing the capabilities of the Chao Phraya forecasting system through the integration of pre-processed numerical weather forecasts T. Charoensuk et al. 10.1016/j.ejrh.2024.101737
26. Assimilating in situ and radar altimetry data into a large-scale hydrologic-hydrodynamic model for streamflow forecast in the Amazon R. Paiva et al. 10.5194/hess-17-2929-2013
27. Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y. Liu et al. 10.5194/hess-16-3863-2012
28. Observation impact, domain length and parameter estimation in data assimilation for flood forecasting E. Cooper et al. 10.1016/j.envsoft.2018.03.013
29. Enhancing SWOT discharge assimilation through spatiotemporal correlations Y. Yang et al. 10.1016/j.rse.2019.111450
30. A Hybrid Approach to Improve Flood Forecasting by Combining a Hydrodynamic Flow Model and Artificial Neural Networks L. Li & K. Jun 10.3390/w14091393
31. 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
32. A web based tool for operational real-time flood forecasting using data assimilation to update hydraulic states M. Mure-Ravaud et al. 10.1016/j.envsoft.2016.06.002
33. Application of Soil Moisture Data Assimilation in Flood Forecasting of Xun River in Hanjiang River Basin J. Bai et al. 10.3390/w14244061
34. Operational hydrological data assimilation with the recursive ensemble Kalman filter H. McMillan et al. 10.5194/hess-17-21-2013
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36. Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting M. Mazzoleni et al. 10.1061/(ASCE)HE.1943-5584.0001656
37. State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation J. Gong et al. 10.1016/j.jhydrol.2023.129450
38. Utilisation du modèle hydrodynamique 1D Mascaret pour la prévision des crues E. Le Pape et al. 10.1080/27678490.2024.2313198
39. Data‐based mechanistic modelling of tidally affected river reaches for flood warning purposes: an example on the River Dee, UK P. Smith et al. 10.1002/qj.1926
40. Water Surface Elevation Constraints in a Data Assimilation Scheme to Infer Floodplain Topography: A Case Study in the Logone Floodplain A. Shastry & M. Durand 10.1029/2020GL088759
41. Correction of pumping station parameters in a one-dimensional hydrodynamic model using the Ensemble Kalman filter X. Lei et al. 10.1016/j.jhydrol.2018.10.062
42. River discharge estimation under uncertainty from synthetic SWOT-type observations using variational data assimilation H. Oubanas et al. 10.1051/lhb/2018022