31 citations as recorded by crossref.

1. Evaluation of an Adaptive Soil Moisture Bias Correction Approach in the ECMWF Land Data Assimilation System D. Fairbairn et al. 10.3390/rs16030493
2. Insights on the impact of systematic model errors on data assimilation performance in changing catchments S. Pathiraja et al. 10.1016/j.advwatres.2017.12.006
3. Recursive Bayesian Estimation of Conceptual Rainfall‐Runoff Model Errors in Real‐Time Prediction of Streamflow M. Tajiki et al. 10.1029/2019WR025237
4. Data assimilation of soil water flow via ensemble Kalman filter: Infusing soil moisture data at different scales P. Zhu et al. 10.1016/j.jhydrol.2017.10.078
5. Evaluation of State and Bias Estimates for Assimilation of SMOS Retrievals Into Conceptual Rainfall-Runoff Models V. Pauwels et al. 10.3389/frwa.2020.00004
6. Operational aspects of asynchronous filtering for flood forecasting O. Rakovec et al. 10.5194/hess-19-2911-2015
7. Data assimilation in integrated hydrological modelling in the presence of observation bias J. Rasmussen et al. 10.5194/hess-20-2103-2016
8. Regularized variational data assimilation for bias treatment using the Wasserstein metric S. Tamang et al. 10.1002/qj.3794
9. Observation and Model Bias Estimation in the Presence of Either or Both Sources of Error R. Lorente-Plazas & J. Hacker 10.1175/MWR-D-16-0273.1
10. A Dynamic Approach to Addressing Observation-Minus-Forecast Bias in a Land Surface Skin Temperature Data Assimilation System C. Draper et al. 10.1175/JHM-D-14-0087.1
11. Comparing Assimilation of Synthetic Soil Moisture Versus C‐Band Backscatter for Hyper‐Resolution Land Surface Modeling L. Sun et al. 10.1029/2020WR028921
12. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
13. Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication G. De Lannoy et al. 10.3389/frwa.2022.981745
14. SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia H. Lievens et al. 10.1016/j.rse.2015.06.025
15. Informing hydrogeological models with remotely sensed evapotranspiration S. Gelsinari et al. 10.3389/frwa.2022.932641
16. 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
17. Bias-aware data assimilation in integrated hydrological modelling M. Ridler et al. 10.2166/nh.2017.117
18. Global Assimilation of Multiangle and Multipolarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation G. De Lannoy & R. Reichle 10.1175/JHM-D-15-0037.1
19. Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review Y. Li et al. 10.3390/rs8060456
20. Satellite-supported flood forecasting in river networks: A real case study J. García-Pintado et al. 10.1016/j.jhydrol.2015.01.084
21. Data assimilation of surface displacements to improve geomechanical parameters of gas storage reservoirs C. Zoccarato et al. 10.1002/2015JB012090
22. Soil hydrology: Recent methodological advances, challenges, and perspectives H. Vereecken et al. 10.1002/2014WR016852
23. Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation J. Dong et al. 10.1016/j.rse.2020.111756
24. Unsaturated zone model complexity for the assimilation of evapotranspiration rates in groundwater modelling S. Gelsinari et al. 10.5194/hess-25-2261-2021
25. Investigating the application of Kalman Filters for real-time accountancy in fusion fuel cycles H. Flynn & G. Larsen 10.1016/j.fusengdes.2022.113037
26. Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre‐ and Post‐Processing in Sequential Data Assimilation S. Wang et al. 10.1002/2018WR022546
27. Error covariance calculation for forecast bias estimation in hydrologic data assimilation V. Pauwels & G. De Lannoy 10.1016/j.advwatres.2015.05.013
28. Feasibility of Improving Groundwater Modeling by Assimilating Evapotranspiration Rates S. Gelsinari et al. 10.1029/2019WR025983
29. Recursively updating the error forecasting scheme of a complementary modelling framework for improved reservoir inflow forecasts A. Gragne et al. 10.1016/j.jhydrol.2015.05.039
30. On noise specification in data assimilation schemes for improved flood forecasting using distributed hydrological models S. Noh et al. 10.1016/j.jhydrol.2014.07.049
31. Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289