54 citations as recorded by crossref.

1. Quantifying the uncertainty of precipitation forecasting using probabilistic deep learning L. Xu et al. https://doi.org/10.5194/hess-26-2923-2022
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3. Temporal Hierarchical Reconciliation for Consistent Water Resources Forecasting Across Multiple Timescales: An Application to Precipitation Forecasting M. Jahangir & J. Quilty https://doi.org/10.1029/2021WR031862
4. Operational flood-forecasting in the Piemonte region – development and verification of a fully distributed physically-oriented hydrological model D. Rabuffetti et al. https://doi.org/10.5194/adgeo-17-111-2009
5. Uncertainty analysis of hydrological ensemble forecasts in a distributed model utilising short-range rainfall prediction Y. Xuan et al. https://doi.org/10.5194/hess-13-293-2009
6. Machine learning approach for the estimation of missing precipitation data: a case study of South Korea H. Han et al. https://doi.org/10.2166/wst.2023.237
7. Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting G. Mascaro et al. https://doi.org/10.1175/2009JHM1144.1
8. Analysis of Spatially Distributed Risk for Regional Disaster Management: 2. Vulnerability M. Park & M. Park https://doi.org/10.9798/KOSHAM.2011.11.4.201
9. Application of Artificial Neural Networks for Accuracy Enhancements of Real-Time Flood Forecasting in the Imjin Basin A. Jabbari & D. Bae https://doi.org/10.3390/w10111626
10. Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations Y. Zhang et al. https://doi.org/10.5194/hess-27-4529-2023
11. Modeling and simulation of runoff from an irrigation tank watershed to evaluate the utilizable water R. Kanagaraj et al. https://doi.org/10.1007/s12517-020-06267-w
12. The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins G. Tang et al. https://doi.org/10.1029/2022WR033767
13. Assessment of the WRF-Hydro uncoupled hydro-meteorological model on flashy watersheds of the Grande Terre tropical island of New Caledonia (South-West Pacific) A. Cerbelaud et al. https://doi.org/10.1016/j.ejrh.2022.101003
14. Improved runoff forecasting performance through error predictions using a deep-learning approach H. Han & R. Morrison https://doi.org/10.1016/j.jhydrol.2022.127653
15. Quantitative assessment of short‐term rainfall forecasts from radar nowcasts and MM5 forecasts S. Liguori & M. Rico‐Ramirez https://doi.org/10.1002/hyp.8415
16. Geostatistical interpolation by quantile kriging H. Lebrenz & A. Bárdossy https://doi.org/10.5194/hess-23-1633-2019
17. Evaluating ERA‐Interim, Agri4Cast, and E‐OBS gridded products in reproducing spatiotemporal characteristics of precipitation and drought over a data poor region: The Case of Greece T. Mavromatis & D. Voulanas https://doi.org/10.1002/joc.6950
18. Generation of a long-term daily gridded precipitation dataset for the Upper Indus Basin (UIB) through temporal Reconstruction, Correction & Informed Regionalization-“ReCIR” A. Khan & M. Koch https://doi.org/10.1016/j.iswcr.2021.01.005
19. Evaluation of ERA‐Interim reanalysis precipitation products using England and Wales observations J. de Leeuw et al. https://doi.org/10.1002/qj.2395
20. Hydrological analysis of high waters and flash floods occurred in September 2007 in Slovenia M. Kobold et al. https://doi.org/10.1088/1755-1307/4/1/012008
21. Flood prediction using parameters calibrated on limited discharge data and uncertain rainfall scenarios J. Reynolds et al. https://doi.org/10.1080/02626667.2020.1747619
22. Method for Probabilistic Flood Forecasting Considering Rainfall and Model Parameter Uncertainties X. Jiang et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001861
23. HYPROM hydrology surface‐runoff prognostic model S. Nickovic et al. https://doi.org/10.1029/2010WR009195
24. Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium S. Ly et al. https://doi.org/10.5194/hess-15-2259-2011
25. Towards an ensemble-based short-term flood forecasting using an event-based flood model- incorporating catchment-average estimates of soil moisture K. Bahramian et al. https://doi.org/10.1016/j.jhydrol.2020.125828
26. An evaluation of numerical weather prediction based rainfall forecasts M. Shahrban et al. https://doi.org/10.1080/02626667.2016.1170131
27. Uncertainties in river discharge simulations of the upper Indus basin in the Western Himalayas P. Priya et al. https://doi.org/10.1007/s12040-020-01409-w
28. Spatial and seasonal variations in δ18O and δD values in the River Sava in Slovenia N. Ogrinc et al. https://doi.org/10.1016/j.jhydrol.2008.07.010
29. Can climate models represent the precipitation associated with extratropical cyclones? M. Hawcroft et al. https://doi.org/10.1007/s00382-015-2863-z
30. Correction and Informed Regionalization of Precipitation Data in a High Mountainous Region (Upper Indus Basin) and Its Effect on SWAT-Modelled Discharge A. Khan & M. Koch https://doi.org/10.3390/w10111557
31. Appraisal of geochemical composition and hydrodynamic sorting of the river suspended material: Application of time-integrated suspended sediment sampler in a medium-sized river (the Sava River catchment) M. Lučić et al. https://doi.org/10.1016/j.jhydrol.2020.125768
32. Entropy-MIMR-LSTM framework for rain gauge network optimization in mountainous small watersheds: A case study of Fuhuxi Watershed, China Y. Cui et al. https://doi.org/10.1007/s11629-025-0174-3
33. Current awareness https://doi.org/10.1002/hyp.6195
34. Contaminant remediation decision analysis using information gap theory D. Harp & V. Vesselinov https://doi.org/10.1007/s00477-012-0573-1
35. Verification of Precipitation Forecasts from NCEP’s Short-Range Ensemble Forecast (SREF) System with Reference to Ensemble Streamflow Prediction Using Lumped Hydrologic Models J. Brown et al. https://doi.org/10.1175/JHM-D-11-036.1
36. A data-driven SVR model for long-term runoff prediction and uncertainty analysis based on the Bayesian framework Z. Liang et al. https://doi.org/10.1007/s00704-017-2186-6
37. StageIV-IRC: a high-resolution dataset of extreme orographic Quantitative Precipitation Estimates (QPE) constrained to water budget closure for historical floods in the Appalachian Mountains M. Liao & A. Barros https://doi.org/10.5194/essd-18-2047-2026
38. Evaluation of Quantitative Precipitation Estimations through Hydrological Modeling in IFloodS River Basins H. Wu et al. https://doi.org/10.1175/JHM-D-15-0149.1
39. Continuous Spatio-Temporal High-Resolution Estimates of SWE Across the Swiss Alps – A Statistical Two-Step Approach for High-Mountain Topography M. Guidicelli et al. https://doi.org/10.3389/feart.2021.664648
40. GECA Proposed Ensemble–KNN Method for Improved Monthly Runoff Forecasting M. Yang et al. https://doi.org/10.1007/s11269-019-02479-2
41. Comparative Assessment of Two Objective Forecast Models for Cases of Persistent Extreme Precipitation Events in the Yangtze–Huai River Valley in Summer 2016 B. Zhou et al. https://doi.org/10.1175/WAF-D-17-0039.1
42. Using satellite and reanalysis data to evaluate the representation of latent heating in extratropical cyclones in a climate model M. Hawcroft et al. https://doi.org/10.1007/s00382-016-3204-6
43. Development of an Integrated Urban Flood Model and Its Application in a Concave-Down Overpass Area Y. Yan et al. https://doi.org/10.3390/rs16101650
44. The sequence of heavy precipitation and flash flooding of 12 and 13 September 2019 in eastern Spain. Part II: A hydro-meteorological predictability analysis based on convection-permitting ensemble strategies A. Amengual et al. https://doi.org/10.1175/JHM-D-20-0181.1
45. Variability of spatial patterns of autocorrelation and heterogeneity embedded in precipitation D. Liu et al. https://doi.org/10.2166/nh.2018.054
46. Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. https://doi.org/10.1016/j.jhydrol.2023.129607
47. Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments N. Dogulu et al. https://doi.org/10.5194/hess-19-3181-2015
48. Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data S. Hwang et al. https://doi.org/10.1016/j.jhydrol.2020.125084
49. Rainfall Threshold Curves Extraction by Considering Rainfall-Runoff Model Uncertainty A. Sharafati & B. Zahabiyoun https://doi.org/10.1007/s13369-014-1246-9
50. Short‐term flood inundation prediction using hydrologic‐hydraulic models forced with downscaled rainfall from global NWP D. Nam et al. https://doi.org/10.1002/hyp.10084
51. Influence of Rain Gauge Density on Interpolation Method Selection H. Otieno et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000964
52. Evaluation of medium-range runoff forecasts for a 50 km2 watershed D. Kneis et al. https://doi.org/10.1016/j.jhydrol.2011.11.005
53. Improving the heavy rainfall forecasting using a weighted deep learning model Y. Chen et al. https://doi.org/10.3389/fenvs.2023.1116672
54. Error Generation Characteristics of the Areal Rainfall Estimation Interpolation Method Using Rainfall Radar Data S. Hwang et al. https://doi.org/10.9798/KOSHAM.2022.22.6.273