124 citations as recorded by crossref.

1. Future aridity under conditions of global climate change M. Asadi Zarch et al.
2. Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies I. Zalachori et al.
3. A Decomposition-based Multi-model and Multi-parameter ensemble forecast framework for monthly streamflow forecasting J. Wang et al.
4. Discharge and floods projected to increase more than precipitation extremes F. Quintero et al.
5. Analysis of ensemble and control forecasts from GEFS and NEPS for reservoir inflow prediction A. Panchal & S. Yadav
6. Analysis of the effects of biases in ensemble streamflow prediction (ESP) forecasts on electricity production in hydropower reservoir management R. Arsenault & P. Côté
7. Projected changes in extreme precipitation at sub-daily and daily time scales A. Morrison et al.
8. Hydrologic Model Evaluation and Assessment of Projected Climate Change Impacts Using Bias-Corrected Stream Flows J. Daraio
9. Improved Simulation of Peak Flows under Climate Change: Postprocessing or Composite Objective Calibration? X. Zhang et al.
10. Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression models K. Belitz & P. Stackelberg
11. Methodological application of quantile mapping to generate precipitation data over Northwest Himalaya U. Devi et al.
12. A five-parameter Gamma-Gaussian model to calibrate monthly and seasonal GCM precipitation forecasts Z. Huang et al.
13. Unravelling the potential of global streamflow reanalysis in characterizing local flow regime T. Zhao et al.
14. Assessment of the Impacts of Global Climate Change and Regional Water Projects on Streamflow Characteristics in the Geum River Basin in Korea S. Kim et al.
15. Post-Processing and Evaluation of Precipitation Ensemble Forecast under Multiple Schemes in Beijiang River Basin X. Chen et al.
16. Ensemble dressing for hydrological applications T. Pagano et al.
17. Enhancing streamflow ensemble forecasting: evaluating pre- and post-processing strategies for a spatially distributed model A. Askarinejad et al.
18. River gauging at global scale using optical and passive microwave remote sensing A. Van Dijk et al.
19. A platform for probabilistic Multimodel and Multiproduct Streamflow Forecasting T. Roy et al.
20. Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting G. Mascaro et al.
21. Ensemble mean forecast skill and applications with the T213 ensemble prediction system S. Li et al.
22. Exploratory analysis of statistical post‐processing methods for hydrological ensemble forecasts M. Boucher et al.
23. Assessment of the potential forecasting skill of a global hydrological model in reproducing the occurrence of monthly flow extremes N. Candogan Yossef et al.
24. Inter‐decadal variability in potential glacier surface melt energy at Vestari Hagafellsjökull (Langjökull, Iceland) and the role of synoptic circulation T. Matthews et al.
25. Quantifying the impacts of small dam construction on hydrological alterations in the Jiulong River basin of Southeast China W. Lu et al.
26. Future projections of temperature-related climate change impacts on the railway network of Great Britain E. Palin et al.
27. Evaluation of the Analysis of Record for Calibration (AORC) Rainfall across Louisiana H. Kim & G. Villarini
28. Evaluation and Benchmarking of Operational Short-Range Ensemble Mean and Median Streamflow Forecasts for the Ohio River Basin T. Adams III & R. Dymond
29. Weighting of NMME temperature and precipitation forecasts across Europe L. Slater et al.
30. Ensemble-based flash-flood modelling: Taking into account hydrodynamic parameters and initial soil moisture uncertainties S. Edouard et al.
31. Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts L. Crochemore et al.
32. Reliable probabilistic forecasts from an ensemble reservoir inflow forecasting system D. Bourdin et al.
33. Short-term climate change influence on surface water quality impacts from agricultural activities B. Avcı et al.
34. Water Balance Projection Using Climate Change Scenarios in the Korean Peninsula C. Kim et al.
35. Summary Verification Measures and Their Interpretation for Ensemble Forecasts A. Bradley & S. Schwartz
36. Optimising ensemble streamflow predictions with bias correction and data assimilation techniques M. Tanguy et al.
37. Hydro-environmental runoff projection under GCM scenario downscaled by Artificial Neural Network in the Namgang Dam watershed, Korea B. Kang et al.
38. Statistical Downscaling of ERA-Interim Forecast Precipitation Data in Complex Terrain Using LASSO Algorithm L. Gao et al.
39. Early flood warning in the Itajaí-Açu River basin using numerical weather forecasting and hydrological modeling L. Casagrande et al.
40. Bias learning improves data driven models for streamflow prediction Y. Lin et al.
41. Rainfall from tropical cyclones: high-resolution simulations and seasonal forecasts W. Zhang et al.
42. Modeling the surface mass balance of a high Arctic glacier using the ERA‐40 reanalysis C. Rye et al.
43. Regional Climate Models for Hydrological Impact Studies at the Catchment Scale: A Review of Recent Modeling Strategies C. Teutschbein & J. Seibert
44. Evaluation for Moroccan dynamically downscaled precipitation from GCM CHAM5 and its regional hydrologic response T. Jaw et al.
45. Post‐processing of medium‐range probabilistic hydrological forecasting: impact of forcing, initial conditions and model errors E. Roulin & S. Vannitsem
46. Photo-interpretation in LUCAS alters temporal trends of woody and wetland grazing extents A. Machine et al.
47. Heat index trends and climate change implications for occupational heat exposure in Da Nang, Vietnam S. Opitz-Stapleton et al.
48. Attribution of hydrologic forecast uncertainty within scalable forecast windows L. Yang et al.
49. On the Choice of Metric to Calibrate Time-Invariant Ensemble Kalman Filter Hyper-Parameters for Discharge Data Assimilation and Its Impact on Discharge Forecast Modelling J. Bergeron et al.
50. A Bayesian network approach for understanding the role of large-scale and local hydro-meteorological variables as drivers of basin-scale rainfall and streamflow P. Das & K. Chanda
51. Use of Ensemble-Based Forecasting Methods in Reservoir Operation: Issues and Implementation Challenges R. Teegavarapu et al.
52. Processing and analysing an ensemble of climate projections for the joint research project KLIWAS F. Imbery et al.
53. Future Climate and Land Use Change Impacts on River Flows in the Tapajós Basin in the Brazilian Amazon F. Farinosi et al.
54. Evaluation of Ensemble Inflow Forecasts for Reservoir Management in Flood Situations J. Mendes & R. Maia
55. Multiscale Postprocessor for Ensemble Streamflow Prediction for Short to Long Ranges B. Alizadeh et al.
56. Impact Assessment of Climate Change on Extreme Rainfall and I-D-F Analysis B. Kim et al.
57. Application of downscaled precipitation for hydrological climate-change impact assessment in the upper Ping River Basin of Thailand D. Sharma & M. Babel
58. Towards more realistic climate model outputs: a multivariate bias correction based on zero-inflated vine copulas H. Funk et al.
59. Post‐Processed CMIP6 Climate Projections for Hydro‐Environmental Risk Assessment in the Middle East and Central Asia P. Reggiani et al.
60. Basin-informed flood frequency analysis using deep learning exhibits consistent projected regional patterns over CONUS R. Lazin et al.
61. Bias-corrected short-range Member-to-Member ensemble forecasts of reservoir inflow D. Bourdin & R. Stull
62. Post-processing sub-seasonal precipitation forecasts at various spatiotemporal scales across China during boreal summer monsoon Y. Li et al.
63. Advancing global hydrologic modeling with the GEOGloWS ECMWF streamflow service R. Hales et al.
64. Seasonal hydrologic predictions of low‐flow conditions over eastern USA during the 2007 drought H. Li et al.
65. A Bayesian joint probability post-processor for reducing errors and quantifying uncertainty in monthly streamflow predictions P. Pokhrel et al.
66. The Ideal Flow-Based Multi-Model Ensemble Strategy for Projecting Future Runoff with CMIP6 GCMs S. Chae et al.
67. Advancing Medium-Range Streamflow Forecasting for Large Hydropower Reservoirs in Brazil by Means of Continental-Scale Hydrological Modeling A. Kolling Neto et al.
68. Climate index weighting of ensemble streamflow forecasts using a simple Bayesian approach A. Bradley et al.
69. Simulation of the spatio‐temporal extent of groundwater flooding using statistical methods of hydrograph classification and lumped parameter models K. Upton & C. Jackson
70. Drought disaster risks under CMIP5 RCP scenarios in Ningxia Hui Autonomous Region, China C. Tan et al.
71. Evaluation and Bias Correction of S2S Precipitation for Hydrological Extremes W. Li et al.
72. Bias Correction of RCP-based Future Extreme Precipitation using a Quantile Mapping Method ; for 20-Weather Stations of South Korea J. Park et al.
73. Multiscale Bayesian neural networks for soil water content estimation R. Jana et al.
74. Assessment of Flood Vulnerability Based on CMIP5 Climate Projections in South Korea J. Park et al.
75. Ensemble Methods for Peristaltic Pump Accuracy Enhancement D. Privitera et al.
76. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al.
77. Estimation of Future Design Flood Under Non-Stationarity for Wonpyeongcheon Watershed J. Ryu et al.
78. Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk
79. The impacts of climate change on the runoff volume of Melen and Munzur Rivers in Turkey based on calibration of WASMOD model with multiobjective genetic algorithm M. Nuri Balov & A. Altunkaynak
80. Development of IDF Curves Based on RCP4.5 Scenario for 30-Reservoirs in South Korea J. Park et al.
81. A comprehensive review on ensemble deep learning: Opportunities and challenges A. Mohammed & R. Kora
82. Assessing the performance of bias correction approaches for correcting monthly precipitation over India through coupled models A. Singh et al.
83. Post-processing of hydrological model simulations using the convolutional neural network and support vector regression S. Liu et al.
84. Integration of river ice information in hydrodynamic models for enhanced and continuous streamflow forecast B. Kilicarslan et al.
85. Statistical Method of Forecasting of Seasonal Precipitation over the Northwest Himalayas: North Atlantic Oscillation as Precursor U. Devi et al.
86. Performance of ensemble streamflow forecasts under varied hydrometeorological conditions H. Benninga et al.
87. Bayesian Framework for Uncertainty Quantification and Bias Correction of Projected Streamflow in Climate Change Impact Assessment J. George & P. Athira
88. Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales J. Verkade et al.
89. Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game L. Arnal et al.
90. A review on statistical postprocessing methods for hydrometeorological ensemble forecasting W. Li et al.
91. Assessing Severe Drought and Wet Events over India in a Future Climate Using a Nested Bias-Correction Approach R. Ojha et al.
92. Impacts of the Pacific meridional mode on rainfall over the maritime continent and australia: potential for seasonal predictions W. Zhang et al.
93. Evaluating post-processing approaches for monthly and seasonal streamflow forecasts F. Woldemeskel et al.
94. Hydrological ensemble forecasting using a multi-model framework P. Dion et al.
95. Evaluation of the capability of regional climate models in reproducing the temporal clustering in heavy precipitation over Europe Z. Yang et al.
96. Improving streamflow prediction in the WRF-Hydro model with LSTM networks K. Cho & Y. Kim
97. The role of Renaissance dam in reducing hydrological extremes in the Upper Blue Nile Basin: Current and future climate scenarios R. Lazin et al.
98. Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al.
99. Trend Analyses of Extreme Precipitation Indices Based on Downscaled Outputs of Global Circulation Models in Western Black Sea Basin, Turkey M. Nuri Balov & A. Altunkaynak
100. Ensemble Streamflow Forecasting across the U.S. Mid-Atlantic Region with a Distributed Hydrological Model Forced by GEFS Reforecasts R. Siddique & A. Mejia
101. Variable resolution modeling of near future mean temperature changes in the dry sub-humid region of Ghana E. Bessah et al.
102. The benefit of climatological and calibrated reforecast data for simulating hydrological droughts in Switzerland S. Jörg-Hess et al.
103. Spatio-temporal evaluation of various global circulation models in terms of projection of different meteorological drought indices M. Nuri Balov & A. Altunkaynak
104. Evaluation of the ECMWF System 4 climate forecasts for streamflow forecasting in the Upper Hanjiang River Basin F. Tian et al.
105. Toward an improved estimation of flood frequency statistics from simulated flows L. Hu et al.
106. Multi-Model Approaches for Improving Seasonal Ensemble Streamflow Prediction Scheme with Various Statistical Post-Processing Techniques in the Canadian Prairie Region A. Muhammad et al.
107. Ensemble flood forecasting: A review H. Cloke & F. Pappenberger
108. An Efficient Method to Correct Under-Dispersion in Ensemble Streamflow Prediction of Inflow Volumes for Reservoir Optimization R. Arsenault et al.
109. Projecting Future Climate Change Scenarios Using Three Bias-Correction Methods D. Kum et al.
110. Comparison of Precipitation and Streamflow Correcting for Ensemble Streamflow Forecasts Y. Li et al.
111. A New Way for Incorporating GCM Information into Water Shortage Projections S. Seo et al.
112. Ranking of global climate models for India using multicriterion analysis K. Raju & D. Nagesh Kumar
113. A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network Á. Ossandón et al.
114. Assessing uncertainty for decision‐making in climate adaptation and risk mitigation P. Reggiani et al.
115. Correction of mesoscale model daily precipitation data over Northwestern Himalaya U. Devi et al.
116. Controls on preferential recharge to Chalk aquifers A. Ireson & A. Butler
117. Short-term ensemble streamflow forecasting using operationally-produced single-valued streamflow forecasts – A Hydrologic Model Output Statistics (HMOS) approach S. Regonda et al.
118. Correcting Errors in Streamflow Forecast Ensemble Mean and Spread A. Wood & J. Schaake
119. Comparison of varied complexity models simulating recharge at the field scale J. Sorensen et al.
120. Assessing GCM Convergence for India Using the Variable Convergence Score R. Ojha et al.
121. From calibration to real‐time operations: an assessment of three precipitation benchmarks for a Swiss river system N. Andres et al.
122. Decadal temperature predictions over the continental United States: Analysis and Enhancement K. Salvi et al.
123. MELPF version 1: Modeling Error Learning based Post-Processor Framework for Hydrologic Models Accuracy Improvement R. Wu et al.
124. A Process-Conditioned and Spatially Consistent Method for Reducing Systematic Biases in Modeled Streamflow A. Bennett et al.