141 citations as recorded by crossref.

1. Future aridity under conditions of global climate change M. Asadi Zarch et al. 10.1016/j.jhydrol.2017.08.043
2. Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies I. Zalachori et al. 10.5194/asr-8-135-2012
3. A Decomposition-based Multi-model and Multi-parameter ensemble forecast framework for monthly streamflow forecasting J. Wang et al. 10.1016/j.jhydrol.2023.129083
4. Discharge and floods projected to increase more than precipitation extremes F. Quintero et al. 10.1002/hyp.14738
5. Analysis of the effects of biases in ensemble streamflow prediction (ESP) forecasts on electricity production in hydropower reservoir management R. Arsenault & P. Côté 10.5194/hess-23-2735-2019
6. Projected changes in extreme precipitation at sub-daily and daily time scales A. Morrison et al. 10.1016/j.gloplacha.2019.103004
7. Hydrologic Model Evaluation and Assessment of Projected Climate Change Impacts Using Bias-Corrected Stream Flows J. Daraio 10.3390/w12082312
8. Improved Simulation of Peak Flows under Climate Change: Postprocessing or Composite Objective Calibration? X. Zhang et al. 10.1175/JHM-D-14-0218.1
9. Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression models K. Belitz & P. Stackelberg 10.1016/j.envsoft.2021.105006
10. Methodological application of quantile mapping to generate precipitation data over Northwest Himalaya U. Devi et al. 10.1002/joc.6008
11. A five-parameter Gamma-Gaussian model to calibrate monthly and seasonal GCM precipitation forecasts Z. Huang et al. 10.1016/j.jhydrol.2021.126893
12. Unravelling the potential of global streamflow reanalysis in characterizing local flow regime T. Zhao et al. 10.1016/j.scitotenv.2022.156125
13. 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. 10.3390/w8030091
14. Post-Processing and Evaluation of Precipitation Ensemble Forecast under Multiple Schemes in Beijiang River Basin X. Chen et al. 10.3390/w12092631
15. Ensemble dressing for hydrological applications T. Pagano et al. 10.1002/hyp.9313
16. River gauging at global scale using optical and passive microwave remote sensing A. Van Dijk et al. 10.1002/2015WR018545
17. A platform for probabilistic Multimodel and Multiproduct Streamflow Forecasting T. Roy et al. 10.1002/2016WR019752
18. Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting G. Mascaro et al. 10.1175/2009JHM1144.1
19. Ensemble mean forecast skill and applications with the T213 ensemble prediction system S. Li et al. 10.1007/s00376-016-6155-2
20. Exploratory analysis of statistical post‐processing methods for hydrological ensemble forecasts M. Boucher et al. 10.1002/hyp.10234
21. Assessment of the potential forecasting skill of a global hydrological model in reproducing the occurrence of monthly flow extremes N. Candogan Yossef et al. 10.5194/hess-16-4233-2012
22. Inter‐decadal variability in potential glacier surface melt energy at Vestari Hagafellsjökull (Langjökull, Iceland) and the role of synoptic circulation T. Matthews et al. 10.1002/joc.4191
23. Quantifying the impacts of small dam construction on hydrological alterations in the Jiulong River basin of Southeast China W. Lu et al. 10.1016/j.jhydrol.2018.10.034
24. Future projections of temperature-related climate change impacts on the railway network of Great Britain E. Palin et al. 10.1007/s10584-013-0810-8
25. Evaluation of the Analysis of Record for Calibration (AORC) Rainfall across Louisiana H. Kim & G. Villarini 10.3390/rs14143284
26. Evaluation and Benchmarking of Operational Short-Range Ensemble Mean and Median Streamflow Forecasts for the Ohio River Basin T. Adams III & R. Dymond 10.1175/JHM-D-18-0102.1
27. Weighting of NMME temperature and precipitation forecasts across Europe L. Slater et al. 10.1016/j.jhydrol.2017.07.029
28. Ensemble-based flash-flood modelling: Taking into account hydrodynamic parameters and initial soil moisture uncertainties S. Edouard et al. 10.1016/j.jhydrol.2017.04.048
29. Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts L. Crochemore et al. 10.5194/hess-20-3601-2016
30. Reliable probabilistic forecasts from an ensemble reservoir inflow forecasting system D. Bourdin et al. 10.1002/2014WR015462
31. Short-term climate change influence on surface water quality impacts from agricultural activities B. Avcı et al. 10.1007/s11356-023-28700-9
32. Water Balance Projection Using Climate Change Scenarios in the Korean Peninsula C. Kim et al. 10.3741/JKWRA.2013.46.8.807
33. Summary Verification Measures and Their Interpretation for Ensemble Forecasts A. Bradley & S. Schwartz 10.1175/2010MWR3305.1
34. Hydro-environmental runoff projection under GCM scenario downscaled by Artificial Neural Network in the Namgang Dam watershed, Korea B. Kang et al. 10.1007/s12205-015-0580-0
35. Statistical Downscaling of ERA-Interim Forecast Precipitation Data in Complex Terrain Using LASSO Algorithm L. Gao et al. 10.1155/2014/472741
36. Early flood warning in the Itajaí-Açu River basin using numerical weather forecasting and hydrological modeling L. Casagrande et al. 10.1007/s11069-017-2889-0
37. Bias learning improves data driven models for streamflow prediction Y. Lin et al. 10.1016/j.ejrh.2023.101557
38. Rainfall from tropical cyclones: high-resolution simulations and seasonal forecasts W. Zhang et al. 10.1007/s00382-018-4446-2
39. Modeling the surface mass balance of a high Arctic glacier using the ERA‐40 reanalysis C. Rye et al. 10.1029/2009JF001364
40. Regional Climate Models for Hydrological Impact Studies at the Catchment Scale: A Review of Recent Modeling Strategies C. Teutschbein & J. Seibert 10.1111/j.1749-8198.2010.00357.x
41. Evaluation for Moroccan dynamically downscaled precipitation from GCM CHAM5 and its regional hydrologic response T. Jaw et al. 10.1016/j.ejrh.2015.02.008
42. Post‐processing of medium‐range probabilistic hydrological forecasting: impact of forcing, initial conditions and model errors E. Roulin & S. Vannitsem 10.1002/hyp.10259
43. Heat index trends and climate change implications for occupational heat exposure in Da Nang, Vietnam S. Opitz-Stapleton et al. 10.1016/j.cliser.2016.08.001
44. Attribution of hydrologic forecast uncertainty within scalable forecast windows L. Yang et al. 10.5194/hess-18-775-2014
45. 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. 10.3390/hydrology8010036
46. 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 10.1007/s00477-022-02356-2
47. Processing and analysing an ensemble of climate projections for the joint research project KLIWAS F. Imbery et al. 10.5194/asr-10-91-2013
48. Future Climate and Land Use Change Impacts on River Flows in the Tapajós Basin in the Brazilian Amazon F. Farinosi et al. 10.1029/2019EF001198
49. Evaluation of Ensemble Inflow Forecasts for Reservoir Management in Flood Situations J. Mendes & R. Maia 10.3390/hydrology10020028
50. Multiscale Postprocessor for Ensemble Streamflow Prediction for Short to Long Ranges B. Alizadeh et al. 10.1175/JHM-D-19-0164.1
51. Impact Assessment of Climate Change on Extreme Rainfall and I-D-F Analysis B. Kim et al. 10.3741/JKWRA.2008.41.4.379
52. Application of downscaled precipitation for hydrological climate-change impact assessment in the upper Ping River Basin of Thailand D. Sharma & M. Babel 10.1007/s00382-013-1788-7
53. Bias-corrected short-range Member-to-Member ensemble forecasts of reservoir inflow D. Bourdin & R. Stull 10.1016/j.jhydrol.2013.08.028
54. Post-processing sub-seasonal precipitation forecasts at various spatiotemporal scales across China during boreal summer monsoon Y. Li et al. 10.1016/j.jhydrol.2020.125742
55. Advancing global hydrologic modeling with the GEOGloWS ECMWF streamflow service R. Hales et al. 10.1111/jfr3.12859
56. Seasonal hydrologic predictions of low‐flow conditions over eastern USA during the 2007 drought H. Li et al. 10.1002/asl.182
57. A Bayesian joint probability post-processor for reducing errors and quantifying uncertainty in monthly streamflow predictions P. Pokhrel et al. 10.5194/hess-17-795-2013
58. Advancing Medium-Range Streamflow Forecasting for Large Hydropower Reservoirs in Brazil by Means of Continental-Scale Hydrological Modeling A. Kolling Neto et al. 10.3390/w15091693
59. Climate index weighting of ensemble streamflow forecasts using a simple Bayesian approach A. Bradley et al. 10.1002/2014WR016811
60. Simulation of the spatio‐temporal extent of groundwater flooding using statistical methods of hydrograph classification and lumped parameter models K. Upton & C. Jackson 10.1002/hyp.7951
61. Drought disaster risks under CMIP5 RCP scenarios in Ningxia Hui Autonomous Region, China C. Tan et al. 10.1007/s11069-019-03811-0
62. Evaluation and Bias Correction of S2S Precipitation for Hydrological Extremes W. Li et al. 10.1175/JHM-D-19-0042.1
63. Bias Correction of RCP-based Future Extreme Precipitation using a Quantile Mapping Method ; for 20-Weather Stations of South Korea J. Park et al. 10.5389/KSAE.2012.54.6.133
64. Multiscale Bayesian neural networks for soil water content estimation R. Jana et al. 10.1029/2008WR006879
65. Assessment of Flood Vulnerability Based on CMIP5 Climate Projections in South Korea J. Park et al. 10.1111/jawr.12283
66. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
67. Estimation of Future Design Flood Under Non-Stationarity for Wonpyeongcheon Watershed J. Ryu et al. 10.5389/KSAE.2015.57.5.139
68. Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk 10.1038/s41612-023-00496-y
69. 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 10.1007/s00703-019-00676-7
70. Development of IDF Curves Based on RCP4.5 Scenario for 30-Reservoirs in South Korea J. Park et al. 10.9798/KOSHAM.2013.13.6.145
71. A comprehensive review on ensemble deep learning: Opportunities and challenges A. Mohammed & R. Kora 10.1016/j.jksuci.2023.01.014
72. Assessing the performance of bias correction approaches for correcting monthly precipitation over India through coupled models A. Singh et al. 10.1002/met.1627
73. Post-processing of hydrological model simulations using the convolutional neural network and support vector regression S. Liu et al. 10.2166/nh.2022.004
74. Statistical Method of Forecasting of Seasonal Precipitation over the Northwest Himalayas: North Atlantic Oscillation as Precursor U. Devi et al. 10.1007/s00024-019-02409-8
75. Performance of ensemble streamflow forecasts under varied hydrometeorological conditions H. Benninga et al. 10.5194/hess-21-5273-2017
76. 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
77. Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game L. Arnal et al. 10.5194/hess-20-3109-2016
78. A review on statistical postprocessing methods for hydrometeorological ensemble forecasting W. Li et al. 10.1002/wat2.1246
79. Assessing Severe Drought and Wet Events over India in a Future Climate Using a Nested Bias-Correction Approach R. Ojha et al. 10.1061/(ASCE)HE.1943-5584.0000585
80. Impacts of the Pacific meridional mode on rainfall over the maritime continent and australia: potential for seasonal predictions W. Zhang et al. 10.1007/s00382-017-3968-3
81. Evaluating post-processing approaches for monthly and seasonal streamflow forecasts F. Woldemeskel et al. 10.5194/hess-22-6257-2018
82. Hydrological ensemble forecasting using a multi-model framework P. Dion et al. 10.1016/j.jhydrol.2021.126537
83. Evaluation of the capability of regional climate models in reproducing the temporal clustering in heavy precipitation over Europe Z. Yang et al. 10.1016/j.atmosres.2022.106027
84. Improving streamflow prediction in the WRF-Hydro model with LSTM networks K. Cho & Y. Kim 10.1016/j.jhydrol.2021.127297
85. The role of Renaissance dam in reducing hydrological extremes in the Upper Blue Nile Basin: Current and future climate scenarios R. Lazin et al. 10.1016/j.jhydrol.2022.128753
86. Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. 10.1080/02626667.2019.1617868
87. 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 10.1007/s40996-019-00237-3
88. 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
89. Variable resolution modeling of near future mean temperature changes in the dry sub-humid region of Ghana E. Bessah et al. 10.1007/s40808-018-0479-0
90. The benefit of climatological and calibrated reforecast data for simulating hydrological droughts in Switzerland S. Jörg-Hess et al. 10.1002/met.1474
91. Spatio-temporal evaluation of various global circulation models in terms of projection of different meteorological drought indices M. Nuri Balov & A. Altunkaynak 10.1007/s12665-020-8881-0
92. Evaluation of the ECMWF System 4 climate forecasts for streamflow forecasting in the Upper Hanjiang River Basin F. Tian et al. 10.2166/nh.2018.176
93. Toward an improved estimation of flood frequency statistics from simulated flows L. Hu et al. 10.1111/jfr3.12891
94. 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. 10.3390/w10111604
95. Ensemble flood forecasting: A review H. Cloke & F. Pappenberger 10.1016/j.jhydrol.2009.06.005
96. An Efficient Method to Correct Under-Dispersion in Ensemble Streamflow Prediction of Inflow Volumes for Reservoir Optimization R. Arsenault et al. 10.1007/s11269-016-1425-4
97. Projecting Future Climate Change Scenarios Using Three Bias-Correction Methods D. Kum et al. 10.1155/2014/704151
98. Comparison of Precipitation and Streamflow Correcting for Ensemble Streamflow Forecasts Y. Li et al. 10.3390/w10020177
99. A New Way for Incorporating GCM Information into Water Shortage Projections S. Seo et al. 10.3390/w7052435
100. Ranking of global climate models for India using multicriterion analysis K. Raju & D. Nagesh Kumar 10.3354/cr01222
101. A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network Á. Ossandón et al. 10.1175/JHM-D-21-0167.1
102. Assessing uncertainty for decision‐making in climate adaptation and risk mitigation P. Reggiani et al. 10.1002/joc.6996
103. Correction of mesoscale model daily precipitation data over Northwestern Himalaya U. Devi et al. 10.1007/s00704-020-03409-8
104. Controls on preferential recharge to Chalk aquifers A. Ireson & A. Butler 10.1016/j.jhydrol.2010.12.015
105. Short-term ensemble streamflow forecasting using operationally-produced single-valued streamflow forecasts – A Hydrologic Model Output Statistics (HMOS) approach S. Regonda et al. 10.1016/j.jhydrol.2013.05.028
106. Correcting Errors in Streamflow Forecast Ensemble Mean and Spread A. Wood & J. Schaake 10.1175/2007JHM862.1
107. Comparison of varied complexity models simulating recharge at the field scale J. Sorensen et al. 10.1002/hyp.9752
108. Assessing GCM Convergence for India Using the Variable Convergence Score R. Ojha et al. 10.1061/(ASCE)HE.1943-5584.0000888
109. 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
110. Decadal temperature predictions over the continental United States: Analysis and Enhancement K. Salvi et al. 10.1007/s00382-017-3532-1
111. MELPF version 1: Modeling Error Learning based Post-Processor Framework for Hydrologic Models Accuracy Improvement R. Wu et al. 10.5194/gmd-12-4115-2019
112. A Process-Conditioned and Spatially Consistent Method for Reducing Systematic Biases in Modeled Streamflow A. Bennett et al. 10.1175/JHM-D-21-0174.1
113. Analysis of Rainfall-Runoff Characteristics on Bias Correction Method of Climate Change Scenarios D. Kum et al. 10.15681/KSWE.2015.31.3.241
114. Evaluation of a nonparametric post‐processor for bias correction and uncertainty estimation of hydrologic predictions J. Brown & D. Seo 10.1002/hyp.9263
115. A dual-pass error-correction technique for forecasting streamflow T. Pagano et al. 10.1016/j.jhydrol.2011.05.036
116. Application of time-lagged ensemble approach with auto-regressive processors to reduce uncertainties in peak discharge and timing K. Kim et al. 10.1016/j.ejrh.2016.12.081
117. On the bias correction of general circulation model output for Indian summer monsoon N. Acharya et al. 10.1002/met.1294
118. Managing climate change scenarios for societal impact studies G. Carbone 10.1080/02723646.2013.869714
119. The Ensemble Verification System (EVS): A software tool for verifying ensemble forecasts of hydrometeorological and hydrologic variables at discrete locations J. Brown et al. 10.1016/j.envsoft.2010.01.009
120. Projection of runoff and sediment yield under coordinated climate change and urbanization scenarios in Doam dam watershed, Korea Y. Kim et al. 10.2166/wcc.2016.068
121. EFFECT OF UNCERTAINTIES IN DOWNSCALING RESULTS USING WRF MODEL ON WATER QUALITY PREDICTION IN A RESERVOIR H. YAJIMA et al. 10.2208/jscejhe.69.I_1489
122. Macroscale hydrological modelling approach for study of large scale hydrologic impacts under climate change in Indian river basins D. Raje et al. 10.1002/hyp.9731
123. The accuracy of ecological flow metrics derived using a physics‐based distributed rainfall–runoff model in the Great Plains, USA T. Worthington et al. 10.1002/eco.2090
124. Evaluation of the capability of global climate models in reproducing the temporal clustering in heavy precipitation over Europe Z. Yang & G. Villarini 10.1002/joc.6612
125. A Nonparametric Postprocessor for Bias Correction of Hydrometeorological and Hydrologic Ensemble Forecasts J. Brown & D. Seo 10.1175/2009JHM1188.1
126. Evaluation of the skill of North-American Multi-Model Ensemble (NMME) Global Climate Models in predicting average and extreme precipitation and temperature over the continental USA L. Slater et al. 10.1007/s00382-016-3286-1
127. The Role of Climate in Monthly Baseflow Changes across the Continental United States J. Ayers et al. 10.1061/(ASCE)HE.1943-5584.0002170
128. Estimation of Daily Rainfall Extremes Through the Metastatistical Extreme Value Distribution: Uncertainty Minimization and Implications for Trend Detection A. Miniussi & M. Marani 10.1029/2019WR026535
129. Evaluation of medium-range ensemble flood forecasting based on calibration strategies and ensemble methods in Lanjiang Basin, Southeast China L. Liu et al. 10.1016/j.jhydrol.2017.08.032
130. Future drought analysis using SPI and EDDI to consider climate change in South Korea J. Won & S. Kim 10.2166/ws.2020.209
131. The Use and Abuse of Climate Scenarios in Agriculture J. Kim & J. Yun 10.5532/KJAFM.2016.18.3.170
132. Climate impacts on palm oil yields in the Nigerian Niger Delta S. Okoro et al. 10.1016/j.eja.2017.02.002
133. Towards improved post‐processing of hydrologic forecast ensembles S. Madadgar et al. 10.1002/hyp.9562
134. Verification of Bias Corrected Simulations of Climate Models Using Entropy J. Lee & Y. Kim 10.9798/KOSHAM.2015.15.5.25
135. Multiagent system for dynamic resource provisioning in cloud computing platforms C. Ralha et al. 10.1016/j.future.2018.09.050
136. Long-range forecasting of intermittent streamflow F. van Ogtrop et al. 10.5194/hess-15-3343-2011
137. Examining the capability of reanalyses in capturing the temporal clustering of heavy precipitation across Europe Z. Yang & G. Villarini 10.1007/s00382-019-04742-z
138. Long-Range Hydrologic Forecasting in El Niño Southern Oscillation-Affected Coastal Watersheds: Comparison of Climate Model and Weather Generator Approach S. Sharma et al. 10.1061/(ASCE)HE.1943-5584.0001198
139. Hydrological modelling using data from monthly GCMs in a regional catchment R. Remesan et al. 10.1002/hyp.9872
140. Assessing hydrological impacts of climate change using bias‐corrected downscaled precipitation in Mae Klong basin of Thailand D. Sharma & M. Babel 10.1002/met.1706
141. Metastatistical Extreme Value Distribution applied to floods across the continental United States A. Miniussi et al. 10.1016/j.advwatres.2019.103498