36 citations as recorded by crossref.

1. Impact of Ensemble Size on Forecasting Occurrence of Rainfall Using TIGGE Precipitation Forecasts M. Khan et al. 10.1061/(ASCE)HE.1943-5584.0000864
2. An assimilation test of Doppler radar reflectivity and radial velocity from different height layers in improving the WRF rainfall forecasts J. Tian et al. 10.1016/j.atmosres.2017.08.004
3. Smart Healthcare: Disease Prediction Using the Cuckoo-Enabled Deep Classifier in IoT Framework A. Kumar et al. 10.1155/2022/2090681
4. Ensemble flood forecasting based on operational forecasts of the regional Eta EPS in the Taquari-Antas basin V. Siqueira et al. 10.1590/2318-0331.011616004
5. The 2013/14 Thames Basin Floods: Do Improved Meteorological Forecasts Lead to More Skillful Hydrological Forecasts at Seasonal Time Scales? J. Neumann et al. 10.1175/JHM-D-17-0182.1
6. 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
7. Ensemble flood simulation for the typical catchment in humid climatic zone by using multiple hydrological models J. Wang et al. 10.5194/piahs-383-213-2020
8. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
9. Hydrological Model Diversity Enhances Streamflow Forecast Skill at Short‐ to Medium‐Range Timescales S. Sharma et al. 10.1029/2018WR023197
10. Real-Time Probabilistic Flood Forecasting Using Multiple Machine Learning Methods D. Nguyen & S. Chen 10.3390/w12030787
11. Evaluation of an Application of Probabilistic Quantitative Precipitation Forecasts for Flood Forecasting A. Goenner et al. 10.3390/w12102860
12. Coupling high-resolution precipitation forecasts and discharge predictions to evaluate the impact of spatial uncertainty in numerical weather prediction model outputs T. Diomede et al. 10.1007/s00703-008-0003-6
13. Ensemble flood forecasting: A review H. Cloke & F. Pappenberger 10.1016/j.jhydrol.2009.06.005
14. Can a multi-model approach improve hydrological ensemble forecasting? A study on 29 French catchments using 16 hydrological model structures J. Velázquez et al. 10.5194/adgeo-29-33-2011
15. A one-way coupled atmospheric-hydrological modeling system with combination of high-resolution and ensemble precipitation forecasting Z. Wu et al. 10.1007/s11707-015-0535-2
16. Incorporating large-scale atmospheric variables in long-term seasonal rainfall forecasting using artificial neural networks: an application to the Ping Basin in Thailand M. Babel et al. 10.2166/nh.2016.212
17. Comparison of hydrological model ensemble forecasting based on multiple members and ensemble methods J. Wang et al. 10.1515/geo-2020-0239
18. Flood forecasts based on multi-model ensemble precipitation forecasting using a coupled atmospheric-hydrological modeling system J. Wu et al. 10.1007/s11069-014-1204-6
19. Sensitivity of hydrological ensemble forecasts to different sources and temporal resolutions of probabilistic quantitative precipitation forecasts: flash flood case studies in the Cévennes‐Vivarais region (Southern France) R. Marty et al. 10.1002/hyp.9543
20. Verification of precipitation forecasts from two numerical weather prediction models in the Middle Atlantic Region of the USA: A precursory analysis to hydrologic forecasting R. Siddique et al. 10.1016/j.jhydrol.2015.08.042
21. Improving Hydrological Model Simulations with Combined Multi-Input and Multimodel Averaging Frameworks R. Arsenault et al. 10.1061/(ASCE)HE.1943-5584.0001489
22. Rainfall forecasting in upper Indus basin using various artificial intelligence techniques M. Hammad et al. 10.1007/s00477-021-02013-0
23. Potential of Artificial Intelligence-Based Techniques for Rainfall Forecasting in Thailand: A Comprehensive Review M. Waqas et al. 10.3390/w15162979
24. Ensemble technique application to an XBeach-based coastal Early Warning System for the Northwest Adriatic Sea (Emilia-Romagna region, Italy) L. Biolchi et al. 10.1016/j.coastaleng.2022.104081
25. Design of mathematical model for the prediction of rainfall R. Das et al. 10.1080/09720502.2021.2016853
26. A hybrid linear–nonlinear approach to predict the monthly rainfall over the Urmia Lake watershed using wavelet-SARIMAX-LSSVM conjugated model J. Farajzadeh & F. Alizadeh 10.2166/hydro.2017.013
27. Monthly rainfall forecasting modelling based on advanced machine learning methods: tropical region as case study M. Allawi et al. 10.1080/19942060.2023.2243090
28. Prediction of rainfall time series using modular soft computingmethods C. Wu & K. Chau 10.1016/j.engappai.2012.05.023
29. Forecasting the Ensemble Hydrograph of the Reservoir Inflow based on Post-Processed TIGGE Precipitation Forecasts in a Coupled Atmospheric-Hydrological System M. Tanhapour et al. 10.3390/w15050887
30. Flood and Inundation Forecasting in the Sparsely Gauged Transboundary Chenab River Basin Using Satellite Rain and Coupling Meteorological and Hydrological Models M. Asghar et al. 10.1175/JHM-D-18-0226.1
31. A meteorological–hydrological regional ensemble forecast for an early-warning system over small Apennine catchments in Central Italy R. Ferretti et al. 10.5194/hess-24-3135-2020
32. 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
33. Cut-off Lows in the South Africa region and their contribution to precipitation A. Favre et al. 10.1007/s00382-012-1579-6
34. A flood episode in northern Italy: multi-model and single-model mesoscale meteorological ensembles for hydrological predictions S. Davolio et al. 10.5194/hess-17-2107-2013
35. Improved Rainfall Prediction Using Combined Pre-Processing Methods and Feed-Forward Neural Networks D. Tran Anh et al. 10.3390/j2010006
36. Development of a Hydrological Ensemble Prediction System to Assist with Decision-Making for Floods during Typhoons S. Yang et al. 10.3390/su12104258