39 citations as recorded by crossref.

1. Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
2. Streamflow forecast sensitivity to air temperature forecast calibration for 139 Norwegian catchments T. Hegdahl et al. 10.5194/hess-23-723-2019
3. Ensemble forecasting system for the management of the Senegal River discharge: application upstream the Manantali dam D. Ndione et al. 10.1007/s13201-020-01199-y
4. Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems E. Valdez et al. 10.5194/hess-26-197-2022
5. A global network for operational flood risk reduction L. Alfieri et al. 10.1016/j.envsci.2018.03.014
6. On the assessment of reliability in probabilistic hydrometeorological event forecasting C. DeChant & H. Moradkhani 10.1002/2014WR016617
7. How do I know if I’ve improved my continental scale flood early warning system? H. Cloke et al. 10.1088/1748-9326/aa625a
8. Understanding Future Water Challenges in a Highly Regulated Indian River Basin—Modelling the Impact of Climate Change on the Hydrology of the Upper Narmada N. Rickards et al. 10.3390/w12061762
9. Exploring hydrologic post-processing of ensemble streamflow forecasts based on affine kernel dressing and non-dominated sorting genetic algorithm II J. Xu et al. 10.5194/hess-26-1001-2022
10. An ensemble data-driven approach for incorporating uncertainty in the forecasting of stormwater sewer surcharge F. Schmid & J. Leandro 10.1080/1573062X.2023.2240309
11. Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface K. Beven et al. 10.1007/s11430-014-5003-4
12. Quantifying the effectiveness of early warning systems for natural hazards M. Sättele et al. 10.5194/nhess-16-149-2016
13. Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. 10.1080/02626667.2019.1617868
14. Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas M. Nazeri Tahroudi et al. 10.1007/s13201-022-01589-4
15. Pre- and postprocessing flood forecasts using Bayesian model averaging T. Hegdahl et al. 10.2166/nh.2023.024
16. Ensemble Streamflow Forecasting across the U.S. Mid-Atlantic Region with a Distributed Hydrological Model Forced by GEFS Reforecasts R. Siddique & A. Mejia 10.1175/JHM-D-16-0243.1
17. Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level A. Kauffeldt et al. 10.1016/j.envsoft.2015.09.009
18. Skill of short- to medium-range monsoon rainfall forecasts from two global models over India for hydro-meteorological applications S. Prakash et al. 10.1002/met.1579
19. Discharge Interval method for uncertain flood forecasts using a flood model chain: city of Kulmbach M. Beg et al. 10.2166/hydro.2019.131
20. Improving the Reliability of Probabilistic Multi-Step-Ahead Flood Forecasting by Fusing Unscented Kalman Filter with Recurrent Neural Network Y. Zhou et al. 10.3390/w12020578
21. On the implementation of post-processing of runoff forecast ensembles J. Skøien et al. 10.1175/JHM-D-21-0008.1
22. Evaluation of ensemble streamflow predictions in Europe L. Alfieri et al. 10.1016/j.jhydrol.2014.06.035
23. Improving flood forecasts for better flood preparedness in the UK (and beyond) E. Stephens & H. Cloke 10.1111/geoj.12103
24. Reliable hourly streamflow forecasting with emphasis on ephemeral rivers M. Li et al. 10.1016/j.jhydrol.2020.125739
25. Evaluation of the Impact of Multi-Source Uncertainties on Meteorological and Hydrological Ensemble Forecasting Z. Shu et al. 10.1016/j.eng.2022.06.007
26. Toward Systematic Literature Reviews in Hydrological Sciences D. De León Pérez et al. 10.3390/w16030436
27. Using bias correction and ensemble modelling for predictive mapping and related uncertainty: A case study in digital soil mapping J. Sylvain et al. 10.1016/j.geoderma.2021.115153
28. Accounting for three sources of uncertainty in ensemble hydrological forecasting A. Thiboult et al. 10.5194/hess-20-1809-2016
29. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
30. Improved error modelling for streamflow forecasting at hourly time steps by splitting hydrographs into rising and falling limbs M. Li et al. 10.1016/j.jhydrol.2017.10.057
31. From calibration to real‐time operations: an assessment of three precipitation benchmarks for a Swiss river system N. Andres et al. 10.1002/met.1569
32. Assessing time, cost and quality trade-offs in forecast-based action for floods K. Bischiniotis et al. 10.1016/j.ijdrr.2019.101252
33. A national flood awareness system for ungauged catchments in complex topography: The case of development, communication and evaluation in New Zealand C. Cattoën et al. 10.1111/jfr3.12864
34. Forecasting upper and lower uncertainty bands of river flood discharges with high predictive skill J. Leandro et al. 10.1016/j.jhydrol.2019.06.052
35. Challenges of Operational River Forecasting T. Pagano et al. 10.1175/JHM-D-13-0188.1
36. How do I know if my forecasts are better? Using benchmarks in hydrological ensemble prediction F. Pappenberger et al. 10.1016/j.jhydrol.2015.01.024
37. Hydrological uncertainty processor based on a copula function Z. Liu et al. 10.1080/02626667.2017.1410278
38. River basin flood potential inferred using GRACE gravity observations at several months lead time J. Reager et al. 10.1038/ngeo2203
39. Characterized Flood Potential in the Yangtze River Basin from GRACE Gravity Observation, Hydrological Model, and In-Situ Hydrological Station N. Chao & Z. Wang 10.1061/(ASCE)HE.1943-5584.0001547