107 citations as recorded by crossref.

1. Streamflow forecasts from WRF precipitation for flood early warning in mountain tropical areas M. Rogelis & M. Werner 10.5194/hess-22-853-2018
2. Statistical refinement of the North American Multi-Model Ensemble precipitation forecasts over Karoon basin, Iran F. Yazdandoost et al. 10.2166/wcc.2023.277
3. Deterministic and probabilistic evaluation of raw and post-processing monthly precipitation forecasts: a case study of China Y. Li et al. 10.2166/hydro.2021.176
4. Generating Calibrated Ensembles of Physically Realistic, High-Resolution Precipitation Forecast Fields Based on GEFS Model Output M. Scheuerer & T. Hamill 10.1175/JHM-D-18-0067.1
5. A Smart Post-Processing System for Forecasting the Climate Precipitation Based on Machine Learning Computations A. Ghazikhani et al. 10.3390/su14116624
6. Reliability of Ensemble Climatological Forecasts Z. Huang et al. 10.1029/2023WR034942
7. A Nonhomogeneous Regression-Based Statistical Postprocessing Scheme for Generating Probabilistic Quantitative Precipitation Forecast M. Ghazvinian et al. 10.1175/JHM-D-20-0019.1
8. Convolutional neural network-based statistical post-processing of ensemble precipitation forecasts W. Li et al. 10.1016/j.jhydrol.2021.127301
9. Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model T. Zhao et al. 10.1016/j.jhydrol.2015.06.043
10. A Similarity-Based Implementation of the Schaake Shuffle R. Schefzik 10.1175/MWR-D-15-0227.1
11. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes C. Alvarez-Garreton et al. 10.5194/hess-19-1659-2015
12. Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran M. Akbarian et al. 10.1016/j.jhydrol.2023.129480
13. Impacts of Hydrometeor Drift on Orographic Precipitation: Two Case Studies of Landfalling Atmospheric Rivers in British Columbia, Canada R. Mo et al. 10.1175/WAF-D-18-0176.1
14. A two-stage blending approach for merging multiple satellite precipitation estimates and rain gauge observations: an experiment in the northeastern Tibetan Plateau Y. Ma et al. 10.5194/hess-25-359-2021
15. Assessing Entropy-based Bayesian Model Averaging Method for Probabilistic Precipitation Forecasting 10.1175/JHM-D-21-0086.1
16. Ensemble reconstruction of spatio-temporal extreme low-flow events in France since 1871 L. Caillouet et al. 10.5194/hess-21-2923-2017
17. A five-parameter Gamma-Gaussian model to calibrate monthly and seasonal GCM precipitation forecasts Z. Huang et al. 10.1016/j.jhydrol.2021.126893
18. Improving the outputs of regional heavy rainfall forecasting models using an adaptive real-time approach Z. Alizadeh et al. 10.1080/02626667.2022.2027951
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20. Error reduction and representation in stages (ERRIS) in hydrological modelling for ensemble streamflow forecasting M. Li et al. 10.5194/hess-20-3561-2016
21. An evaluation of a methodology for seasonal soil water forecasting for Australian dry land cropping systems A. Western et al. 10.1016/j.agrformet.2018.02.012
22. An evaluation of post-processed TIGGE multimodel ensemble precipitation forecast in the Huai river basin Y. Tao et al. 10.1016/j.jhydrol.2014.04.040
23. Post-processing quantitative precipitation forecasts using the seasonally coherent calibration model N. Samal et al. 10.1080/15715124.2023.2218094
24. Improving Subseasonal-to-Seasonal forecasts in predicting the occurrence of extreme precipitation events over the contiguous U.S. using machine learning models L. Zhang et al. 10.1016/j.atmosres.2022.106502
25. Improving Precipitation Forecasts by Generating Ensembles through Postprocessing D. Shrestha et al. 10.1175/MWR-D-14-00329.1
26. Power transformation of variables for post-processing precipitation forecasts: Regionally versus locally optimized parameter values Y. Du et al. 10.1016/j.jhydrol.2022.127912
27. A real‐time pluvial flood forecasting system for Castries, St. Lucia J. René et al. 10.1111/jfr3.12205
28. A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data J. Lerat et al. 10.1016/j.jhydrol.2020.125129
29. pyNMME: A python toolkit to retrieve, calibrate and verify seasonal precipitation forecasts Z. Huang & T. Zhao 10.1016/j.envsoft.2023.105732
30. An evaluation of daily precipitation from a regional atmospheric reanalysis over Australia S. Acharya et al. 10.5194/hess-23-3387-2019
31. Analyzing the uncertainty of ensemble-based gridded observations in land surface simulations and drought assessment A. Ahmadalipour & H. Moradkhani 10.1016/j.jhydrol.2017.10.059
32. OpenForecast v2: Development and Benchmarking of the First National-Scale Operational Runoff Forecasting System in Russia G. Ayzel 10.3390/hydrology8010003
33. A comprehensive implementation of the log, Box-Cox and log-sinh transformations for skewed and censored precipitation data Z. Huang et al. 10.1016/j.jhydrol.2023.129347
34. A dialogue‐based weather forecast: adapting language to end‐users to improve communication A. Sivle & T. Aamodt 10.1002/wea.3439
35. Machine Learning Approaches to Improve North American Precipitation Forecasts C. Sengoz et al. 10.1109/ACCESS.2023.3309054
36. Using the Schaake shuffle when calibrating ensemble means can be problematic D. Shrestha et al. 10.1016/j.jhydrol.2020.124991
37. Short‐Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks A. Akbari Asanjan et al. 10.1029/2018JD028375
38. Improving Ensemble Forecasting Using Total Least Squares and Lead-Time Dependent Bias Correction A. Jabbari & D. Bae 10.3390/atmos11030300
39. A Bayesian modelling approach to forecasting short-term reference crop evapotranspiration from GCM outputs T. Zhao et al. 10.1016/j.agrformet.2019.02.003
40. Impact of Lightning Data Assimilation on the Short-Term Precipitation Forecast over the Central Mediterranean Sea R. Torcasio et al. 10.3390/rs13040682
41. The challenge of forecasting high streamflows 1–3 months in advance with lagged climate indices in southeast Australia J. Bennett et al. 10.5194/nhess-14-219-2014
42. Probabilistic Forecast of Ecological Drought in Rivers Based on Numerical Weather Forecast from S2S Dataset C. Cai et al. 10.3390/w16040579
43. Attributing correlation skill of dynamical GCM precipitation forecasts to statistical ENSO teleconnection using a set-theory-based approach T. Zhao et al. 10.5194/hess-25-5717-2021
44. Impact of Assimilating Advanced Himawari Imager Channel 16 Data on Precipitation Prediction over the Haihe River Basin H. Ouyang et al. 10.3390/atmos12101253
45. A seven-parameter Bernoulli-Gamma-Gaussian model to calibrate subseasonal to seasonal precipitation forecasts Z. Huang et al. 10.1016/j.jhydrol.2022.127896
46. Improving Probabilistic Quantitative Precipitation Forecasts Using Short Training Data through Artificial Neural Networks M. Ghazvinian et al. 10.1175/JHM-D-22-0021.1
47. A method for preferential selection of dates in the Schaake shuffle approach to constructing spatiotemporal forecast fields of temperature and precipitation M. Scheuerer et al. 10.1002/2016WR020133
48. Statistical post-processing of numerical weather prediction data using distribution-based scaling for wind energy A. Rangaraj et al. 10.1177/0309524X241238353
49. Improving the heavy rainfall forecasting using a weighted deep learning model Y. Chen et al. 10.3389/fenvs.2023.1116672
50. 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
51. Evaluating post-processing approaches for monthly and seasonal streamflow forecasts F. Woldemeskel et al. 10.5194/hess-22-6257-2018
52. Multivariate—Intervariable, Spatial, and Temporal—Bias Correction* M. Vrac & P. Friederichs 10.1175/JCLI-D-14-00059.1
53. Differing roles of base and fast flow in ensemble seasonal streamflow forecasting: An experimental investigation Z. Huang et al. 10.1016/j.jhydrol.2020.125272
54. Sub-daily temporal reconstruction of extreme precipitation events using NWP model simulations V. Bližňák et al. 10.1016/j.atmosres.2019.03.019
55. A review on statistical postprocessing methods for hydrometeorological ensemble forecasting W. Li et al. 10.1002/wat2.1246
56. Estimating daily precipitation climatology by postprocessing high‐resolution reanalysis data Y. Du et al. 10.1002/joc.8079
57. Extending a joint probability modelling approach for post-processing ensemble precipitation forecasts from numerical weather prediction models P. Zhao et al. 10.1016/j.jhydrol.2021.127285
58. An improved meta-Gaussian distribution model for post-processing of precipitation forecasts by censored maximum likelihood estimation W. Li et al. 10.1016/j.jhydrol.2019.04.073
59. 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
60. A comparison of the discrete cosine and wavelet transforms for hydrologic model input data reduction A. Wright et al. 10.5194/hess-21-3827-2017
61. Describing the impacts of the extreme weather event on plants communities in Cibodas Botanic Gardens I. Hidayat 10.1088/1755-1315/1092/1/012004
62. Statistical Bias Correction of Precipitation Forecasts Based on Quantile Mapping on the Sub-Seasonal to Seasonal Scale X. Li et al. 10.3390/rs15071743
63. A parsimonious post-processor for uncertainty evaluation of ensemble precipitation forecasts: an application to quantitative precipitation forecasts for civil protection purposes D. Biondi et al. 10.2166/nh.2021.045
64. Spatial mode-based calibration (SMoC) of forecast precipitation fields from numerical weather prediction models P. Zhao et al. 10.1016/j.jhydrol.2022.128432
65. Adapting subseasonal-to-seasonal (S2S) precipitation forecast at watersheds for hydrologic ensemble streamflow forecasting with a machine learning-based post-processing approach L. Zhang et al. 10.1016/j.jhydrol.2024.130643
66. How do I know if I’ve improved my continental scale flood early warning system? H. Cloke et al. 10.1088/1748-9326/aa625a
67. Probabilistic Conditioning and Recalibration of an Event-Based Flood Forecasting Model Using Real-Time Streamflow Observations K. Bahramian et al. 10.1061/(ASCE)HE.1943-5584.0002236
68. A national flood awareness system for ungauged catchments in complex topography: The case of development, communication and evaluation in New Zealand C. Cattoën et al. 10.1111/jfr3.12864
69. An integrated error parameter estimation and lag-aware data assimilation scheme for real-time flood forecasting Y. Li et al. 10.1016/j.jhydrol.2014.08.009
70. Reliable hourly streamflow forecasting with emphasis on ephemeral rivers M. Li et al. 10.1016/j.jhydrol.2020.125739
71. Achieving effective calibration of precipitation forecasts over a continental scale Q. Yang et al. 10.1016/j.ejrh.2021.100818
72. OpenForecast: An Assessment of the Operational Run in 2020–2021 G. Ayzel & D. Abramov 10.3390/geosciences12020067
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. Hydrological responses to climate change in Yarlung Zangbo River basin, Southwest China W. Xuan et al. 10.1016/j.jhydrol.2020.125761
75. An approach for improving the capability of a coupled meteorological and hydrological model for rainfall and flood forecasts H. Nguyen & D. Bae 10.1016/j.jhydrol.2019.124014
76. Factors Influencing the Performance of Regression-Based Statistical Postprocessing Models for Short-Term Precipitation Forecasts W. Li et al. 10.1175/WAF-D-19-0121.1
77. Calibration and quantifying uncertainty of daily water quality forecasts for large lakes with a Bayesian joint probability modelling approach Z. Peng et al. 10.1016/j.watres.2020.116162
78. On the Joint Calibration of Multivariate Seasonal Climate Forecasts from GCMs A. Schepen et al. 10.1175/MWR-D-19-0046.1
79. Calibrating Hourly Precipitation Forecasts with Daily Observations C. Cattoën et al. 10.1175/JHM-D-19-0246.1
80. Two novel error-updating model frameworks for short-to-medium range streamflow forecasting using bias-corrected rainfall inputs: Development and comparative assessment A. Khatun et al. 10.1016/j.jhydrol.2023.129199
81. How Suitable is Quantile Mapping For Postprocessing GCM Precipitation Forecasts? T. Zhao et al. 10.1175/JCLI-D-16-0652.1
82. Multivariate ensemble Model Output Statistics using empirical copulas D. Wilks 10.1002/qj.2414
83. A new scheme for multivariate, multisite weather generator with inter-variable, inter-site dependence and inter-annual variability based on empirical copula approach X. Li & V. Babovic 10.1007/s00382-018-4249-5
84. Evaluation of ERA5 and ERA5-Land reanalysis precipitation datasets over Spain (1951–2020) J. Gomis-Cebolla et al. 10.1016/j.atmosres.2023.106606
85. Estimating rainfall time series and model parameter distributions using model data reduction and inversion techniques A. Wright et al. 10.1002/2017WR020442
86. Ensemble forecasting of sub-seasonal to seasonal streamflow by a Bayesian joint probability modelling approach T. Zhao et al. 10.1016/j.jhydrol.2016.07.040
87. Improving categorical and continuous accuracy of precipitation forecasts by integrating Empirical Quantile Mapping and Bernoulli-Gamma-Gaussian distribution L. Li et al. 10.1016/j.atmosres.2023.107133
88. Improved error modelling for streamflow forecasting at hourly time steps by splitting hydrographs into rising and falling limbs M. Li et al. 10.1016/j.jhydrol.2017.10.057
89. Adapting rainfall bias-corrections to improve hydrological simulations generated from climate model forcings D. Robertson et al. 10.1016/j.jhydrol.2023.129322
90. Comparative Evaluation of Three Schaake Shuffle Schemes in Postprocessing GEFS Precipitation Ensemble Forecasts L. Wu et al. 10.1175/JHM-D-17-0054.1
91. Prediction of daily rainfall by a hybrid wavelet-season-neuro technique A. Altunkaynak & T. Nigussie 10.1016/j.jhydrol.2015.07.046
92. Simplified Approach to Mixed-Integer Chance-Constrained Optimization with Ensemble Streamflow Forecasts for Risk-Based Dam Operation T. Ng et al. 10.1061/JWRMD5.WRENG-5885
93. Relating anomaly correlation to lead time: Clustering analysis of CFSv2 forecasts of summer precipitation in China T. Zhao et al. 10.1002/2017JD027018
94. Assessment and modelling of uncertainty in precipitation forecasts from TIGGE using fuzzy probability and Bayesian theory C. Cai et al. 10.1016/j.jhydrol.2019.123995
95. Evaluation of TIGGE Daily Accumulated Precipitation Forecasts over the Qu River Basin, China L. Liu et al. 10.1007/s13351-019-8096-z
96. A New Hybrid Framework for Error Correction and Uncertainty Analysis of Precipitation Forecasts with Combined Postprocessors C. Cai et al. 10.3390/w14193072
97. Ensemble forecasting of short‐term system scale irrigation demands using real‐time flow data and numerical weather predictions K. Perera et al. 10.1002/2015WR018532
98. Development of a national 7-day ensemble streamflow forecasting service for Australia H. Hapuarachchi et al. 10.5194/hess-26-4801-2022
99. Deep-learning post-processing of short-term station precipitation based on NWP forecasts Q. Liu et al. 10.1016/j.atmosres.2023.107032
100. A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments A. Schepen et al. 10.5194/hess-22-1615-2018
101. Evaluation of ensemble precipitation forecasts generated through post-processing in a Canadian catchment S. Jha et al. 10.5194/hess-22-1957-2018
102. Multi‐Task Deep Learning of Daily Streamflow and Water Temperature J. Sadler et al. 10.1029/2021WR030138
103. A Seasonally Coherent Calibration (SCC) Model for Postprocessing Numerical Weather Predictions Q. Wang et al. 10.1175/MWR-D-19-0108.1
104. A Variable-Correlation Model to Characterize Asymmetric Dependence for Postprocessing Short-Term Precipitation Forecasts W. Li et al. 10.1175/MWR-D-19-0258.1
105. Evaluation and Statistical Post‐Processing of Two Precipitation Reforecast Products During Summer in the Mainland of China W. Li et al. 10.1029/2022JD036606
106. Bias correction of ensemble precipitation forecasts in the improvement of summer streamflow prediction skill C. Yang et al. 10.1016/j.jhydrol.2020.124955
107. Seasonal rainfall totals of Australian stations can be modelled with distributions from the Tweedie family M. Hasan & P. Dunn 10.1002/joc.4194