27 citations as recorded by crossref.

1. <i>Preface</i> Towards practical applications in ensemble hydro-meteorological forecasting Y. He et al. 10.5194/adgeo-29-119-2011
2. Alternative configurations of quantile regression for estimating predictive uncertainty in water level forecasts for the upper Severn River: a comparison P. López López et al. 10.5194/hess-18-3411-2014
3. The Delft-FEWS flow forecasting system M. Werner et al. 10.1016/j.envsoft.2012.07.010
4. Ensemble based first guess support towards a risk-based severe weather warning service R. Neal et al. 10.1002/met.1377
5. Operational river discharge forecasting in poorly gauged basins: the Kavango River basin case study P. Bauer-Gottwein et al. 10.5194/hess-19-1469-2015
6. Verification of inflow into hydropower reservoirs using ensemble forecasts of the TIGGE database for large scale basins in Brazil F. Fan et al. 10.1016/j.ejrh.2015.05.012
7. Inter-comparison between retrospective ensemble streamflow forecasts using meteorological inputs from ECMWF and NOAA/ESRL in the Hudson River sub-basins during Hurricane Irene (2011) F. Saleh et al. 10.2166/nh.2018.182
8. Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales J. Verkade et al. 10.1016/j.jhydrol.2013.07.039
9. Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system S. Sharma et al. 10.5194/hess-22-1831-2018
10. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
11. Development and verification of a real-time stochastic precipitation nowcasting system for urban hydrology in Belgium L. Foresti et al. 10.5194/hess-20-505-2016
12. A retrospective streamflow ensemble forecast for an extreme hydrologic event: a case study of Hurricane Irene and on the Hudson River basin F. Saleh et al. 10.5194/hess-20-2649-2016
13. 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
14. Ensemble streamflow forecasting experiments in a tropical basin: The São Francisco river case study F. Fan et al. 10.1016/j.jhydrol.2014.04.038
15. A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques F. Chang & M. Tsai 10.1016/j.jhydrol.2016.01.056
16. Comparative evaluation of maximum likelihood ensemble filter and ensemble Kalman filter for real-time assimilation of streamflow data into operational hydrologic models A. Rafieeinasab et al. 10.1016/j.jhydrol.2014.06.052
17. Identification of the best multi-model combination for simulating river discharge A. Kumar et al. 10.1016/j.jhydrol.2015.03.060
18. Nested hydrological modeling for flood prediction using CMIP6 inputs around Lake Tana, Ethiopia A. Alaminie et al. 10.1016/j.ejrh.2023.101343
19. 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
20. The potential of radar-based ensemble forecasts for flash-flood early warning in the southern Swiss Alps K. Liechti et al. 10.5194/hess-17-3853-2013
21. Evaluation of upper Uruguay river basin (Brazil) operational flood forecasts F. Fan et al. 10.1590/2318-0331.0217160027
22. Numerical rainfall simulation with different spatial and temporal evenness by using a WRF multiphysics ensemble J. Tian et al. 10.5194/nhess-17-563-2017
23. The Science of NOAA's Operational Hydrologic Ensemble Forecast Service J. Demargne et al. 10.1175/BAMS-D-12-00081.1
24. An unusual thunderstorm event overnight 13/14 June 2014 N. Grahame et al. 10.1002/wea.2480
25. Potential skill of continental-scale, medium-range ensemble streamflow forecasts for flood prediction in South America V. Siqueira et al. 10.1016/j.jhydrol.2020.125430
26. A System for Continuous Hydrological Ensemble Forecasting (SCHEF) to lead times of 9 days J. Bennett et al. 10.1016/j.jhydrol.2014.08.010
27. On selection of the optimal data time interval for real-time hydrological forecasting J. Liu & D. Han 10.5194/hess-17-3639-2013