228 citations as recorded by crossref.

1. Future hydropower generation prediction of large-scale reservoirs in the upper Yangtze River basin under climate change W. Zhong et al. https://doi.org/10.1016/j.jhydrol.2020.125013
2. Vulnerability assessment for climate adaptation planning in a Mediterranean basin M. Solans et al. https://doi.org/10.1080/02626667.2023.2219397
3. A perfect prognosis approach for daily precipitation series in consideration of space–time correlation structure M. Khalili & V. Nguyen https://doi.org/10.1007/s00477-018-1625-y
4. Improved Crop Productivity Through Optimized Planting Schedules Y. Zhang & J. Swaminathan https://doi.org/10.1287/msom.2020.0941
5. Necessity for post-processing dynamically downscaled climate projections for impact and adaptation studies Q. Luo https://doi.org/10.1007/s00477-016-1233-7
6. Comparative Study of Different Stochastic Weather Generators for Long-Term Climate Data Simulation S. Mehan et al. https://doi.org/10.3390/cli5020026
7. Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review F. Fahimi et al. https://doi.org/10.1007/s00704-016-1735-8
8. A virtual discrete rainfall simulator G. Valette et al. https://doi.org/10.1016/j.envsoft.2011.10.003
9. Spatial and temporal variation of extreme precipitation indices in the Yangtze River basin, China J. Guo et al. https://doi.org/10.1007/s00477-012-0643-4
10. Evaluation of rainfall spatial correlation effect on rainfall-runoff modeling uncertainty, considering 2-copula H. Razmkhah et al. https://doi.org/10.1007/s12517-016-2392-z
11. Calcium phosphate nanoparticles improve growth parameters and mitigate stress associated with climatic variability in avocado fruit J. Ramirez-Gil et al. https://doi.org/10.1016/j.heliyon.2023.e18658
12. Evaluation of Infilling Methods for Time Series of Daily Temperature Data: Case Study of Limpopo Province, South Africa Z. Shabalala et al. https://doi.org/10.3390/cli7070086
13. An efficient causative event-based approach for deriving the annual flood frequency distribution J. Li et al. https://doi.org/10.1016/j.jhydrol.2013.12.035
14. On rainfall seasonality using a hidden semi‐Markov model J. Sansom & P. Thomson https://doi.org/10.1029/2006JD008342
15. Disaggregation modelling of monthly streamflows using a new approach of the method of fragments A. Silva & M. Portela https://doi.org/10.1080/02626667.2012.686695
16. Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the southern Adelaide water supply system F. Paton et al. https://doi.org/10.1002/wrcr.20153
17. Tailored calibration of stochastic weather generators for enhanced hydrological system evaluation D. McInerney et al. https://doi.org/10.1016/j.jhydrol.2025.134894
18. Detrended Cross-Correlations and Their Random Matrix Limit: An Example from the Cryptocurrency Market S. Drożdż et al. https://doi.org/10.3390/e27121236
19. Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city F. Wambura https://doi.org/10.1016/j.ejrh.2024.102005
20. Downscaling and projection of precipitation from general circulation model predictors in an equatorial climate region by the automated regression-based statistical method M. Amin et al. https://doi.org/10.1007/s00704-013-1062-2
21. Climate policy: How to deal with ambiguity? J. Etner et al. https://doi.org/10.1007/s00199-020-01284-y
22. On the effect of short-term climate variability on mountain glaciers: insights from a case study D. Farinotti https://doi.org/10.3189/2013JoG13J080
23. Impact of temporal resolution of precipitation forcing data on modelled urban‐atmosphere exchanges and surface conditions H. Ward et al. https://doi.org/10.1002/joc.5200
24. A pattern storage model with variance adjustment for multisite generation of rainfall W. Boughton https://doi.org/10.1080/13241583.2007.11465314
25. Censored rainfall modelling for estimation of fine-scale extremes D. Cross et al. https://doi.org/10.5194/hess-22-727-2018
26. Climasg: A Weather Generator for Crop Modelling and Water Requirements Studies H. Mairech et al. https://doi.org/10.2139/ssrn.4129817
27. Integrated framework for rapid climate stress testing on a monthly timestep K. Fowler et al. https://doi.org/10.1016/j.envsoft.2022.105339
28. Hidden Markov Model for quantitative prediction of snowfall and analysis of hazardous snowfall events over Indian Himalaya J. JOSHI et al. https://doi.org/10.1007/s12040-017-0810-6
29. Using a hidden Markov model to analyse extreme rainfall events in Central‐East Sardinia B. Betrò et al. https://doi.org/10.1002/env.944
30. A stochastic model of continuous hourly areal rainfall series applied to a wide range of French catchments P. Arnaud & P. Cantet https://doi.org/10.1007/s00477-026-03310-2
31. A multisite daily rainfall generator driven by bivariate copula‐based mixed distributions F. Serinaldi https://doi.org/10.1029/2008JD011258
32. Pyraingen: A python package for constrained continuous rainfall generation C. Dykman et al. https://doi.org/10.1016/j.envsoft.2024.105984
33. Continuous simulation for design flood estimation—a review W. Boughton & O. Droop https://doi.org/10.1016/S1364-8152(03)00004-5
34. Evaluating Stochastic Precipitation Generators for Climate Change Impact Studies of New York City’s Primary Water Supply N. Acharya et al. https://doi.org/10.1175/JHM-D-16-0169.1
35. Stochastic Simulation of Nonstationary Rainfall Fields, Accounting for Seasonality and Atmospheric Circulation Pattern Evolution G. Sapriza Azuri et al. https://doi.org/10.1007/s11004-013-9467-0
36. The Design of Discrete-Time Systems With Prescribed Probability Distribution and Power Spectrum Poles A. McDonald et al. https://doi.org/10.1109/ACCESS.2025.3558799
37. Time Series Forecasting of Daily Reference Evapotranspiration by Neural Network Ensemble Learning for Irrigation System N. Manikumari et al. https://doi.org/10.1088/1755-1315/80/1/012069
38. Comparisons of traditional and novel stochastic models for the generation of daily precipitation occurrences W. Ng & U. Panu https://doi.org/10.1016/j.jhydrol.2009.11.002
39. Developing the Regression Relationships for the Critical Period of the Reservoir Systems at Sungai Bekok and Sungai Kesang Catchments in Malaysia I. Oskoui & R. Abdullah https://doi.org/10.1088/1757-899X/920/1/012018
40. Assessment of climate change impact on floods using weather generator and continuous rainfall‐runoff model M. Khazaei et al. https://doi.org/10.1002/joc.2416
41. Stochastic generation of multi-site daily precipitation for applications in risk management K. Breinl et al. https://doi.org/10.1016/j.jhydrol.2013.06.015
42. Coupling annual, monthly and daily weather generators to simulate multisite and multivariate climate variables with low-frequency variability for hydrological modelling J. Chen et al. https://doi.org/10.1007/s00382-019-04750-z
43. Evaluating stochastic rainfall models for hydrological modelling T. Nguyen et al. https://doi.org/10.1016/j.jhydrol.2023.130381
44. Evaluating the performance of Grid IMD, NASA POWER, and MarkSim timeseries weather dataset for Uttarakhand Climatic Condition P. Setiya et al. https://doi.org/10.1007/s00704-023-04787-5
45. An improved daily weather generator for the assessment of regional climate change impacts M. Khazaei et al. https://doi.org/10.1007/s00704-021-03753-3
46. A nonparametric stochastic method for generating daily climate-adjusted streamflows J. Stagge & G. Moglen https://doi.org/10.1002/wrcr.20448
47. Efficient Statistical Approach to Multisite Downscaling of Extreme Temperature Series Using Singular-Value Decomposition Technique M. Khalili & V. Nguyen https://doi.org/10.1061/(ASCE)HE.1943-5584.0001662
48. An Analysis of the Occurrence Probabilities of Wet and Dry Periods through a Stochastic Monthly Rainfall Model T. Caloiero et al. https://doi.org/10.3390/w8020039
49. A robust method to develop future rainfall IDF curves under climate change condition in two major basins of Iran M. Khazaei https://doi.org/10.1007/s00704-021-03540-0
50. Incorporating seasonality into event-based joint probability methods for predicting flood frequency: A hybrid causative event approach J. Li et al. https://doi.org/10.1016/j.jhydrol.2015.11.038
51. Decadal- and Annual-Scale Interactions Between the North Atlantic Oscillation and Precipitation over Northern Algeria: Identifying Suitable Wavelet Families for Nonlinear Analysis B. Zerouali et al. https://doi.org/10.3390/atmos16121373
52. Persistence of hydrological droughts in Slovakia: a Markov-chain analysis of multi-season river flow variability I. Leščešen et al. https://doi.org/10.3389/frwa.2026.1821327
53. The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. https://doi.org/10.1080/02626667.2024.2385686
54. Deep reinforcement learning for long-horizon reservoir operation: Temporal horizon, state representation, and hydrological data synthesis Z. Xie et al. https://doi.org/10.1016/j.jhydrol.2026.135421
55. Evaluating changes and estimating seasonal precipitation for the Colorado River Basin using a stochastic nonparametric disaggregation technique A. Kalra & S. Ahmad https://doi.org/10.1029/2010WR009118
56. Stochastic Generation of Daily Rainfall, in Kavala City Station, North-Eastern Greece T. Papalaskaris et al. https://doi.org/10.1016/j.proeng.2016.11.032
57. A novel spatially weighted accumulative procedure for regional drought monitoring R. Niaz et al. https://doi.org/10.1080/16000870.2020.1838194
58. Maximum entropy methods for generating simulated rainfall J. Piantadosi et al. https://doi.org/10.3934/naco.2012.2.233
59. Livestock intensification and environmental sustainability: An analysis based on pasture management scenarios in the brazilian savanna C. Santos et al. https://doi.org/10.1016/j.jenvman.2024.120473
60. Impact of number of realizations on the suitability of simulated weather data for hydrologic and environmental applications T. Guo et al. https://doi.org/10.1007/s00477-017-1498-5
61. Uncovering ecological state dynamics with hidden Markov models B. McClintock et al. https://doi.org/10.1111/ele.13610
62. Fitting a Probability Distribution to Extreme Precipitation for a Limited Mountain Area in Vietnam N. Thanh https://doi.org/10.4236/gep.2017.55007
63. The use of probabilistic weather generator information for climate change adaptation in the UK water sector C. Harris et al. https://doi.org/10.1002/met.1335
64. Expanded Decision-Scaling Framework to Select Robust Long-Term Water-System Plans under Hydroclimatic Uncertainties S. Steinschneider et al. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000536
65. A hybrid model of self organizing maps and least square support vector machine for river flow forecasting S. Ismail et al. https://doi.org/10.5194/hess-16-4417-2012
66. An efficient statistical approach to multi-site downscaling of daily precipitation series in the context of climate change M. Khalili & V. Van Nguyen https://doi.org/10.1007/s00382-016-3443-6
67. Generating hourly mean areal precipitation times series with an at-site weather generator in Switzerland K. Maloku et al. https://doi.org/10.1007/s00477-024-02757-5
68. Modified Hershfield based estimation of probable maximum precipitation under future climate scenarios in the Mahanadi basin S. Ahmad et al. https://doi.org/10.1007/s41062-026-02690-2
69. A multi-site stochastic weather generator for high-frequency precipitation using censored skew-symmetric distribution Y. Li & Y. Sun https://doi.org/10.1016/j.spasta.2020.100474
70. A Scorecard‐Markov model for new product screening decisions S. Chan & W. Ip https://doi.org/10.1108/02635571011069068
71. Spatial interpolation of daily rainfall stochastic generation parameters over East Africa P. Camberlin et al. https://doi.org/10.3354/cr01198
72. Incorporating riparian vegetation and stochastic modelling in hydraulic geometry of the Yellow River Estuary inlet X. Song et al. https://doi.org/10.1080/02626667.2025.2566266
73. A nonparametric stochastic approach for multisite disaggregation of annual to daily streamflow K. Nowak et al. https://doi.org/10.1029/2009WR008530
74. An entropic‐stochastic representation of rainfall intermittency: The origin of clustering and persistence D. Koutsoyiannis https://doi.org/10.1029/2005WR004175
75. On temporal stochastic modeling of precipitation, nesting models across scales A. Paschalis et al. https://doi.org/10.1016/j.advwatres.2013.11.006
76. A Nonparametric Stochastic Approach for Disaggregation of Daily to Hourly Rainfall Using 3-Day Rainfall Patterns H. Park & G. Chung https://doi.org/10.3390/w12082306
77. Simulating Climate over Western North America Using Stochastic Weather Generators S. Mason https://doi.org/10.1023/B:CLIM.0000013700.12591.ca
78. Global patterns of relations between soil moisture and rainfall occurrence in ERA‐40 A. Lam et al. https://doi.org/10.1029/2006JD008222
79. A Continuous Multisite Multivariate Generator for Daily Temperature Conditioned by Precipitation Occurrence J. Hernández-Bedolla et al. https://doi.org/10.3390/w14213494
80. Using the Markov Chain for the Generation of Monthly Rainfall Series in a Semi-Arid Zone M. Safouane et al. https://doi.org/10.4236/ojmh.2016.62006
81. Evolutionary Algorithm Optimization of a Multireservoir System with Long Lag Times J. Stagge & G. Moglen https://doi.org/10.1061/(ASCE)HE.1943-5584.0000972
82. A review of future weather data for assessing climate change impacts on buildings and energy systems Z. Zeng et al. https://doi.org/10.1016/j.rser.2024.115213
83. Assessment on the Effect of Climate Change on Streamflow in the Source Region of the Yangtze River, China H. Bian et al. https://doi.org/10.3390/w9010070
84. Uncertainty of downscaling method in quantifying the impact of climate change on hydrology J. Chen et al. https://doi.org/10.1016/j.jhydrol.2011.02.020
85. Enhancing the physical significance of rainfall breakpoints through two‐dimensional video distrometer data J. Sansom et al. https://doi.org/10.1029/2007JD008656
86. Quantification of the climate change-induced variations in Intensity–Duration–Frequency curves in the Canadian Prairies M. Shahabul Alam & A. Elshorbagy https://doi.org/10.1016/j.jhydrol.2015.05.059
87. A stochastic space‐time model for the generation of daily rainfall in the Gaza Strip M. Mhanna & W. Bauwens https://doi.org/10.1002/joc.2305
88. Prediction of variability of precipitation in the Yangtze River Basin under the climate change conditions based on automated statistical downscaling J. Guo et al. https://doi.org/10.1007/s00477-011-0464-x
89. Hidden Markov models with arbitrary state dwell-time distributions R. Langrock & W. Zucchini https://doi.org/10.1016/j.csda.2010.06.015
90. A statistical approach to multi‐site multivariate downscaling of daily extreme temperature series M. Khalili et al. https://doi.org/10.1002/joc.3402
91. Fitting a multisite daily rainfall model to New Zealand data C. Thompson et al. https://doi.org/10.1016/j.jhydrol.2007.03.020
92. Cost-Benefit Framework for Optimal Design of Water Transfer Systems C. Zhang et al. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001059
93. Development of a Stochastic Weather Generator for Simulating Meteorological Time Series in the Arctic Zone of the Russian Federation M. Akenteva & N. Kargapolova https://doi.org/10.3103/S1068373923070087
94. Temporal resolution of climate pressures on façades in Oxford 1815–2021 P. Brimblecombe & J. Richards https://doi.org/10.1007/s00704-023-04498-x
95. Stochastic multi-site generation of daily rainfall occurrence in south Florida T. Kim et al. https://doi.org/10.1007/s00477-007-0180-8
96. Simulation of Non-Gaussian Correlated Random Variables, Stochastic Processes and Random Fields: Introducing the anySim R-Package for Environmental Applications and Beyond I. Tsoukalas et al. https://doi.org/10.3390/w12061645
97. Selecting Stochastic Climate Realizations to Efficiently Explore a Wide Range of Climate Risk to Water Resource Systems S. Whateley et al. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000631
98. Streamflow Prediction Based on Artificial Intelligence Techniques S. Meshram et al. https://doi.org/10.1007/s40996-021-00696-7
99. A novel approach for statistical downscaling of future precipitation over the Indo-Gangetic Basin C. Chaudhuri & R. Srivastava https://doi.org/10.1016/j.jhydrol.2017.01.024
100. Stochastic simulation of precipitation-consistent daily reference evapotranspiration using vine copulas M. Pham et al. https://doi.org/10.1007/s00477-015-1181-7
101. Multi-year drought frequency analysis at multiple sites by operational hydrology – A comparison of methods C. Arena et al. https://doi.org/10.1016/j.pce.2006.03.021
102. Statistical downscaling of extreme daily precipitation, evaporation, and temperature and construction of future scenarios T. Yang et al. https://doi.org/10.1002/hyp.8427
103. A daily weather generator for use in climate change studies C. Kilsby et al. https://doi.org/10.1016/j.envsoft.2007.02.005
104. A Multi criteria Decision Making based nonparametric method of fragments to disaggregate daily precipitation V. Manikanta et al. https://doi.org/10.1016/j.jhydrol.2022.128994
105. A comprehensive and systematic evaluation framework for a parsimonious daily rainfall field model B. Bennett et al. https://doi.org/10.1016/j.jhydrol.2016.12.043
106. Spatio-temporal ephemeral streamflow as influenced by climate variability in Botswana N. Batisani https://doi.org/10.1007/s11442-011-0854-5
107. Impact of climate change on water resources status: A case study for Crete Island, Greece A. Koutroulis et al. https://doi.org/10.1016/j.jhydrol.2012.11.055
108. Optimal stochastic multi‐states first‐order Markov chain parameters for synthesizing daily rainfall data using multi‐objective differential evolution in Thailand C. Taewichit et al. https://doi.org/10.1002/met.292
109. Assessing regression‐based statistical approaches for downscaling precipitation over North America J. Chen et al. https://doi.org/10.1002/hyp.9889
110. Simulating daily precipitation and temperature: a weather generation framework for assessing hydrometeorological hazards K. Breinl et al. https://doi.org/10.1002/met.1459
111. Impact of climate change on runoff in Lake Urmia basin, Iran H. Sanikhani et al. https://doi.org/10.1007/s00704-017-2091-z
112. Synthetic random environmental time series generation with similarity control, preserving original signal’s statistical characteristics O. Aloni et al. https://doi.org/10.1016/j.envsoft.2024.106283
113. Investigating Interannual Variability of Precipitation at the Global Scale: Is There a Connection with Seasonality? S. Fatichi et al. https://doi.org/10.1175/JCLI-D-11-00356.1
114. Synthetic Flows for Engineered Systems with Nonstationary Parameters: Study of Maui’s Wailoa Ditch E. Grubert & M. Webber https://doi.org/10.1061/(ASCE)HE.1943-5584.0001468
115. Simulation of future climate scenarios with a weather generator S. Fatichi et al. https://doi.org/10.1016/j.advwatres.2010.12.013
116. Temperature Loggers Capture Intraregional Variation of Inundation Timing for Intermittent Ponds K. Gendreau et al. https://doi.org/10.1029/2021WR029958
117. Hydrological Modeling Using a Multisite Stochastic Weather Generator J. Chen et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001288
118. Disaggregation Modelling of Annual Flows into Daily Streamflows Using a New Approach of the Method of Fragments M. Portela & A. Silva https://doi.org/10.1007/s11269-016-1402-y
119. Multivariate and multi-scale generator based on non-parametric stochastic algorithms Đ. Marković et al. https://doi.org/10.2166/hydro.2019.071
120. Generation of daily amounts of precipitation from standard climatic data: a case study for Argentina F. Castellvı́ et al. https://doi.org/10.1016/j.jhydrol.2003.11.027
121. Rebuilding strategies for food self-sufficiency: Portugal’s past patterns and future ambitions A. Macedo João et al. https://doi.org/10.36253/bae-17226
122. Dry spells and probability of rainfall occurrence for Lake Kyoga Basin in Uganda, East Africa M. Ojara et al. https://doi.org/10.1007/s11069-019-03822-x
123. Assessing the relative effects of emissions, climate means, and variability on large water supply systems S. Whateley & C. Brown https://doi.org/10.1002/2016GL070241
124. A nested multisite daily rainfall stochastic generation model R. (Sri) Srikanthan & G. Pegram https://doi.org/10.1016/j.jhydrol.2009.03.025
125. Extreme flood abatement in large dams with fixed-crest spillways A. Sordo-Ward et al. https://doi.org/10.1016/j.jhydrol.2012.08.009
126. Non-homogeneous hidden Markov-switching models for wind time series P. Ailliot et al. https://doi.org/10.1016/j.jspi.2014.12.005
127. Assessment the Effects of Greenhouse Gases Emission and Climate Change on Supply and Demand of Irrigation Water and Agricultural Products in Watersheds of Qazvin Province A. Parhizkari & M. Mozafari https://doi.org/10.29252/jwmr.7.14.151
128. Understanding the impact of climate change on the dwindling water resources of South Africa, focusing mainly on Olifants River basin: A review G. Nkhonjera https://doi.org/10.1016/j.envsci.2017.02.004
129. ClimaSG: A weather generator for crop modelling and water requirements studies H. Mairech et al. https://doi.org/10.1016/j.agwat.2022.107817
130. Using monthly weather statistics to generate daily data in a SWAT model application to West Africa J. Schuol & K. Abbaspour https://doi.org/10.1016/j.ecolmodel.2006.09.028
131. Storms Generator Method That Preserves Their Historical Statistical Characteristics. Application To Mexico City Basin Daily Rainfall Fields R. Domínguez-Mora et al. https://doi.org/10.1016/S0187-6236(13)71060-9
132. Multisite stochastic simulation of daily precipitation from copula modeling with a gamma marginal distribution T. Lee https://doi.org/10.1007/s00704-017-2147-0
133. MODELLING AND SIMULATION OF VOLUMETRIC RAINFALL FOR A CATCHMENT IN THE MURRAY–DARLING BASIN J. BOLAND et al. https://doi.org/10.1017/S1446181116000183
134. Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model K. Maloku et al. https://doi.org/10.5194/hess-27-3643-2023
135. Comparison of two approaches for generation of daily rainfall data R. Srikanthan et al. https://doi.org/10.1007/s00477-004-0226-0
136. Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition W. Wang et al. https://doi.org/10.1007/s11269-015-0962-6
137. Conjunctive surface water and groundwater management in a multiple user environment Z. Zhang & M. Sato https://doi.org/10.1007/s10018-024-00402-7
138. The role of water and fire in driving tree dynamics in Australian savannas C. Strickland et al. https://doi.org/10.1111/1365-2745.12550
139. Efficacy of coupled stochastic disaggregation algorithms with Random Forests in simulating hourly rainfall across Indian cities D. Vinod & V. Jothiprakash https://doi.org/10.1016/j.uclim.2026.103106
140. Observed, stochastically simulated, and projected precipitation variability in Pakistan A. Nabeel & H. Athar https://doi.org/10.1007/s00704-018-2734-8
141. A space‐time Neyman–Scott rainfall model with defined storm extent M. Leonard et al. https://doi.org/10.1029/2007WR006110
142. Downscaling GCMs using the Smooth Support Vector Machine method to predict daily precipitation in the Hanjiang Basin H. Chen et al. https://doi.org/10.1007/s00376-009-8071-1
143. Use of the Autoregressive Integrated Moving Average (ARIMA) Model to Forecast Near-Term Regional Temperature and Precipitation Y. Lai & D. Dzombak https://doi.org/10.1175/WAF-D-19-0158.1
144. Sediment output from a post-mining catchment – Centennial impacts using stochastically generated rainfall G. Hancock et al. https://doi.org/10.1016/j.jhydrol.2016.11.027
145. RainSim: A spatial–temporal stochastic rainfall modelling system A. Burton et al. https://doi.org/10.1016/j.envsoft.2008.04.003
146. Nonstationary Runoff Responses Can Interact With Climate Change to Increase Severe Outcomes for Freshwater Ecology A. John et al. https://doi.org/10.1029/2021WR030192
147. A Library to Generate Synthetic Precipitation Data L. Carlini et al. https://doi.org/10.2134/agronj2005.0210
148. Constraining continuous rainfall simulations for derived design flood estimation F. Woldemeskel et al. https://doi.org/10.1016/j.jhydrol.2016.09.028
149. Simulating daily rainfall fields over large areas for collective risk estimation F. Serinaldi & C. Kilsby https://doi.org/10.1016/j.jhydrol.2014.02.043
150. Um desenvolvimento adicional do método dos fragmentos. Aplicação à desagregação de escoamentos anuais em escoamento diários M. Manuela Portela & A. Silva https://doi.org/10.1080/23863781.2017.1332822
151. Payments by modelled results: A novel design for agri-environmental schemes B. Bartkowski et al. https://doi.org/10.1016/j.landusepol.2020.105230
152. Detecting abrupt change on the basis of skewness: numerical tests and applications W. He et al. https://doi.org/10.1002/joc.3624
153. Stochastic Modeling to Evaluate Effects of Changing Climate on Water Supply Systems Z. Gao et al. https://doi.org/10.1061/JWRMD5.WRENG-7132
154. Synchronized generation of high-resolution gridded precipitation and temperature fields K. Abbasnezhadi et al. https://doi.org/10.1016/j.jhydrol.2019.03.096
155. A GLUE-based assessment of WaTEM/SEDEM for simulating soil erosion, transport, and deposition in soil conservation optimised agricultural watersheds K. Seufferheld et al. https://doi.org/10.5194/soil-12-301-2026
156. A stochastic rainfall generator model for simulation of daily rainfall events in Kurau catchment: model testing R. Fadhil et al. https://doi.org/10.17660/ActaHortic.2017.1152.1
157. Framework for variability analysis of seasonal meteorological data K. Thakur et al. https://doi.org/10.1007/s12040-022-01963-5
158. Rainfall variability in the Himalayan orogen and its relevance to erosion processes E. Deal et al. https://doi.org/10.1002/2016WR020030
159. Stochastic factor model for electricity spot price—the case of the Nordic market I. Vehviläinen & T. Pyykkönen https://doi.org/10.1016/j.eneco.2005.01.002
160. Uncertainty of the impact of climate change on the hydrology of a nordic watershed M. Minville et al. https://doi.org/10.1016/j.jhydrol.2008.05.033
161. Ensemble estimation of future rainfall extremes with temperature dependent censored simulation D. Cross et al. https://doi.org/10.1016/j.advwatres.2019.103479
162. Assessing the climate change impact on hydrological response in the Gorganrood River Basin, Iran H. Rouhani & M. Jafarzadeh https://doi.org/10.2166/wcc.2017.207
163. Current Awareness https://doi.org/10.1002/hyp.5035
164. A multi-state weather generator for daily precipitation for the Torne River basin, northern Sweden/western Finland D. Rayner et al. https://doi.org/10.1016/j.accre.2016.06.006
165. Significance of direct and indirect impacts of climate change on groundwater resources in the Olifants River basin: A review G. Nkhonjera & M. Dinka https://doi.org/10.1016/j.gloplacha.2017.09.011
166. Optimal Groundwater Extraction under Uncertainty and a Spatial Stock Externality N. Merrill & T. Guilfoos https://doi.org/10.1093/ajae/aax057
167. Continuous rainfall generation for a warmer climate using observed temperature sensitivities C. Wasko & A. Sharma https://doi.org/10.1016/j.jhydrol.2016.12.002
168. Uncertainty in climate change impacts on streamflow inBeRiverCatchment,Vietnam D. Khoi & T. Suetsugi https://doi.org/10.1111/j.1747-6593.2012.00314.x
169. Parsimonious SVD/MAR(1) Procedure for Generating Multisite Multiseason Flows C. Chaleeraktrakoon https://doi.org/10.1061/(ASCE)HE.1943-5584.0000008
170. Temporal characteristics and variability of point rainfall: a statistical and wavelet analysis S. Beecham & R. Chowdhury https://doi.org/10.1002/joc.1901
171. Occurrence Probabilities of Wet and Dry Periods in Southern Italy through the SPI Evaluated on Synthetic Monthly Precipitation Series T. Caloiero et al. https://doi.org/10.3390/w10030336
172. Modeling of multisite precipitation occurrences using latent Gaussian-based multivariate binary response time series H. Chen https://doi.org/10.1016/j.jhydrol.2020.125069
173. Stochastic modeling of daily precipitation in China L. Yaoming et al. https://doi.org/10.1007/BF02837485
174. Generalized linear models for analyzing count data of rainfall occurrences S. Sumi et al. https://doi.org/10.1007/s42452-021-04467-x
175. Some applications of nonlinear and non-Gaussian state–space modelling by means of hidden Markov models R. Langrock https://doi.org/10.1080/02664763.2011.573543
176. Morris method of sensitivity analysis applied to assess the importance of input variables on urban water supply yield – A case study D. King & B. Perera https://doi.org/10.1016/j.jhydrol.2012.10.017
177. Effectiveness of Multi-Site Weather Generator for Hydrological Modeling1 M. Khalili et al. https://doi.org/10.1111/j.1752-1688.2010.00514.x
178. Using an integrated hydrological model to estimate the usefulness of meteorological drought indices in a changing climate D. von Gunten et al. https://doi.org/10.5194/hess-20-4159-2016
179. Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting B. Sahoo et al. https://doi.org/10.1007/s11600-019-00330-1
180. Stochastic daily precipitation model with a heavy-tailed component N. Neykov et al. https://doi.org/10.5194/nhess-14-2321-2014
181. Review of dependence modeling in hydrology and water resources Z. Hao & V. Singh https://doi.org/10.1177/0309133316632460
182. Effect of monthly areal rainfall uncertainty on streamflow simulation J. Ndiritu & N. Mkhize https://doi.org/10.1016/j.pce.2016.10.005
183. Three resampling approaches based on method of fragments for daily‐to‐subdaily precipitation disaggregation X. Li et al. https://doi.org/10.1002/joc.5438
184. Forecast and risk analysis of floodplain regarding uncertainty factors E. Jokar et al. https://doi.org/10.1007/s11069-021-04621-z
185. Changes in concurrent monthly precipitation and temperature extremes Z. Hao et al. https://doi.org/10.1088/1748-9326/8/3/034014
186. A System Dynamics Approach to Modeling Future Climate Scenarios: Quantifying and Projecting Patterns of Evapotranspiration and Precipitation in the Salton Sea Watershed M. Kjelland et al. https://doi.org/10.1155/2014/135012
187. A theoretically consistent stochastic cascade for temporal disaggregation of intermittent rainfall F. Lombardo et al. https://doi.org/10.1002/2017WR020529
188. Analysis of drought areas in northern Algeria using Markov chains M. Lazri et al. https://doi.org/10.1007/s12040-014-0500-6
189. Climate stress testing for water systems: Review and guide for applications K. Fowler et al. https://doi.org/10.1002/wat2.1747
190. Rainwater catchment system design using simulated future climate data C. Wallace et al. https://doi.org/10.1016/j.jhydrol.2015.08.006
191. Modelling precipitation in Sweden using multiple step markov chains and a composite model J. Lennartsson et al. https://doi.org/10.1016/j.jhydrol.2008.10.003
192. Stochastic Optimization of Reservoir Operation by Applying Hedging Rules M. Bayesteh & A. Azari https://doi.org/10.1061/(ASCE)WR.1943-5452.0001312
193. Risk analysis of natural water resources scarcity based on a stochastic simulation model in the hilly area of southwest China Y. Zhang et al. https://doi.org/10.1007/s00477-021-02037-6
194. Stochastic evaluation of the effect of cross-correlation between precipitation and evapotranspiration on SPEI performance N. Rasouli Majd et al. https://doi.org/10.1016/j.jhydrol.2024.132650
195. Optimising and Communicating Options for the Control of Invasive Plant Disease When There Is Epidemiological Uncertainty N. Cunniffe et al. https://doi.org/10.1371/journal.pcbi.1004211
196. Gaussian linear state‐space model for wind fields in the North‐East Atlantic J. Bessac et al. https://doi.org/10.1002/env.2299
197. Space–Time Modelling of Precipitation by Using a Hidden Markov Model and Censored Gaussian Distributions P. Ailliot et al. https://doi.org/10.1111/j.1467-9876.2008.00654.x
198. Stochastic single‐site generation of daily and monthly rainfall in the Middle East M. Mhanna & W. Bauwens https://doi.org/10.1002/met.256
199. The Dynamic Reallocation Value: Revisiting the Framework of Computing the Stabilization Value of Groundwater in a Dynamic Context Z. Zhang & M. Sato https://doi.org/10.3390/w17202979
200. How does climate change affect combined sewer overflow in a system benefiting from rainwater harvesting systems? H. Tavakol-Davani et al. https://doi.org/10.1016/j.scs.2016.07.003
201. A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series W. Wang et al. https://doi.org/10.1016/j.jhydrol.2009.06.019
202. Evaluating and enhancing the performance of satellite precipitation products by considering uncertainty in rain gauge observations T. Wei et al. https://doi.org/10.1007/s11069-025-07936-3
203. Viability of CLIGEN in the climatic conditions of Paraná state, Brazil J. Caviglione et al. https://doi.org/10.1590/S1415-43662013000600012
204. Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data N. Velpuri & G. Senay https://doi.org/10.5194/hess-16-3561-2012
205. Development of groundwater lens for transient recharge in strip islands Y. Tang et al. https://doi.org/10.1016/j.jhydrol.2020.125209
206. Stochastic Modelling in Yearly Rainfall at Tirunelveli District, Tamil Nadu, India P. Arumugam & S. Karthik https://doi.org/10.1016/j.matpr.2017.11.285
207. Generating Synthetic Rainfall on Various Timescales—Daily, Monthly and Yearly J. Piantadosi et al. https://doi.org/10.1007/s10666-008-9157-3
208. Copula based multisite model for daily precipitation simulation A. Bárdossy & G. Pegram https://doi.org/10.5194/hess-13-2299-2009
209. A modular class of multisite monthly rainfall generators for water resource management and impact studies F. Serinaldi & C. Kilsby https://doi.org/10.1016/j.jhydrol.2012.07.043
210. Monte Carlo simulation for design flood estimation: a review of Australian practice M. Loveridge & A. Rahman https://doi.org/10.1080/13241583.2018.1453979
211. Analysis and prediction of annual precipitation values in Cyprus H. Gökçekuş et al. https://doi.org/10.5004/dwt.2020.25088
212. A joint modelling framework for daily extremes of river discharge and precipitation in urban areas K. Breinl et al. https://doi.org/10.1111/jfr3.12150
213. Synthetic Generation of Hydrologic Time Series Based on Nonparametric Random Generation T. Kim & J. Valdés https://doi.org/10.1061/(ASCE)1084-0699(2005)10:5(395)
214. A frailty-contagion model for multi-site hourly precipitation driven by atmospheric covariates E. Koch & P. Naveau https://doi.org/10.1016/j.advwatres.2015.01.001
215. Long‐term Hydrological Forecasting in Cold Regions: Retrospect, Current Status and Prospect A. Gelfan & Y. Motovilov https://doi.org/10.1111/j.1749-8198.2009.00256.x
216. Application of Support Vector Regression for Modeling Low Flow Time Series B. Sahoo et al. https://doi.org/10.1007/s12205-018-0128-1
217. Precipitation Forecasting for Hydrologic Modeling in West-Central Florida using Seasonal Climate Outlooks M. Shrestha et al. https://doi.org/10.5194/hess-30-2703-2026
218. Bias adjustment of satellite rainfall data through stochastic modeling: Methods development and application to Nepal M. Müller & S. Thompson https://doi.org/10.1016/j.advwatres.2013.08.004
219. A new daily weather generator to preserve extremes and low-frequency variability M. Khazaei et al. https://doi.org/10.1007/s10584-013-0740-5
220. Reducing Predictive Uncertainty in Real-Time Reservoir Operations by Coupling LARS-WG with ARNO Continuous Rainfall–Runoff Model N. Ensaniyat et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002100
221. A weather-type conditioned multi-site stochastic rainfall model for the generation of scenarios of climatic variability and change H. Fowler et al. https://doi.org/10.1016/j.jhydrol.2004.10.021
222. Coupling forecast calibration and data‐driven downscaling for generating reliable, high‐resolution, multivariate seasonal climate forecast ensembles at multiple sites A. Schepen et al. https://doi.org/10.1002/joc.6346
223. Neural network based daily precipitation generator (NNGEN-P) J. Boulanger et al. https://doi.org/10.1007/s00382-006-0184-y
224. Assessing groundwater availability of the Maldives under future climate conditions C. Deng & R. Bailey https://doi.org/10.1002/hyp.11246
225. Extracting Optimal Rule Curve of Dam Reservoir Base on Stochastic Inflow A. Jalilian et al. https://doi.org/10.1007/s11269-022-03087-3
226. Modelling and Simulation of Seasonal Rainfall Using the Principle of Maximum Entropy J. Borwein et al. https://doi.org/10.3390/e16020747
227. Comparison of forecasting performance of nonlinear models of hydrological time series J. Komorník et al. https://doi.org/10.1016/j.pce.2006.05.006
228. Design of intermittent rainfall-pattern for structures with gridded data: Validation and implementation S. Das et al. https://doi.org/10.1016/j.jobe.2019.100939