131 citations as recorded by crossref.

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4. Climatic Variability Over Time Scales Spanning Nine Orders of Magnitude: Connecting Milankovitch Cycles with Hurst–Kolmogorov Dynamics Y. Markonis & D. Koutsoyiannis 10.1007/s10712-012-9208-9
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21. Aesthetical Issues of Leonardo Da Vinci’s and Pablo Picasso’s Paintings with Stochastic Evaluation G. Sargentis et al. 10.3390/heritage3020017
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23. Epistemic uncertainties and natural hazard risk assessment – Part 1: A review of different natural hazard areas K. Beven et al. 10.5194/nhess-18-2741-2018
24. The mode of the climacogram estimator for a Gaussian Hurst-Kolmogorov process P. Dimitriadis & D. Koutsoyiannis 10.2166/hydro.2019.038
25. Stochastic investigation of daily air temperature extremes from a global ground station network K. Glynis et al. 10.1007/s00477-021-02002-3
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28. Generic Framework for Downscaling Statistical Quantities at Fine Time-Scales and Its Perspectives towards Cost-Effective Enrichment of Water Demand Records P. Kossieris et al. 10.3390/w13233429
29. Randomness: a property of the mathematical and physical systems A. Tsonis 10.1080/02626667.2014.992434
30. Understanding Persistence to Avoid Underestimation of Collective Flood Risk F. Serinaldi & C. Kilsby 10.3390/w8040152
31. A Stochastic View of Varying Styles in Art Paintings G. Sargentis et al. 10.3390/heritage4010021
32. Modern Use of Traditional Rainwater Harvesting Practices: An Assessment of Cisterns’ Water Supply Potential in West Mani, Greece T. Iliopoulou et al. 10.3390/heritage5040152
33. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
34. So how much of your error is epistemic? Lessons from Japan and Italy K. Beven 10.1002/hyp.9648
35. An overview of current applications, challenges, and future trends in distributed process-based models in hydrology S. Fatichi et al. 10.1016/j.jhydrol.2016.03.026
36. Negligent killing of scientific concepts: the stationarity case D. Koutsoyiannis & A. Montanari 10.1080/02626667.2014.959959
37. A Multilayer Perceptron Model for Stochastic Synthesis E. Rozos et al. 10.3390/hydrology8020067
38. On the Sensitivity of Standardized-Precipitation-Evapotranspiration and Aridity Indexes Using Alternative Potential Evapotranspiration Models A. Tegos et al. 10.3390/hydrology10030064
39. Long‐Lead Drought Forecasting Across the Continental United States Using Burg Entropy Spectral Analysis With a Multiresolution Approach J. Han & V. Singh 10.1029/2022WR034188
40. Knowable moments for high-order stochastic characterization and modelling of hydrological processes D. Koutsoyiannis 10.1080/02626667.2018.1556794
41. Predictability in dice motion: how does it differ from hydro-meteorological processes? P. Dimitriadis et al. 10.1080/02626667.2015.1034128
42. Do probabilistic forecasts lead to better decisions? M. Ramos et al. 10.5194/hess-17-2219-2013
43. Climate Consensus and ‘Misinformation’: A Rejoinder to Agnotology, Scientific Consensus, and the Teaching and Learning of Climate Change D. Legates et al. 10.1007/s11191-013-9647-9
44. Stochastic Modeling of Hydroclimatic Processes Using Vine Copulas G. Pouliasis et al. 10.3390/w13162156
45. Reconciling the signal and noise of atmospheric warming on decadal timescales R. Jones & J. Ricketts 10.5194/esd-8-177-2017
46. Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability G. Papacharalampous & H. Tyralis 10.1016/j.jhydrol.2020.125205
47. Preface—Special Issue: Facets of Uncertainty A. Carsteanu et al. 10.1080/02626667.2016.1186919
48. Investigation on the stochastic nature of the solar radiation process G. Koudouris et al. 10.1016/j.egypro.2017.08.076
49. Revisiting the global hydrological cycle: is it intensifying? D. Koutsoyiannis 10.5194/hess-24-3899-2020
50. On the long-range dependence properties of annual precipitation using a global network of instrumental measurements H. Tyralis et al. 10.1016/j.advwatres.2017.11.010
51. 3D stochastic modeling of flow and solute transport in karst vadose zone D. Zeqiraj 10.1016/j.cscee.2022.100217
52. Stochastic investigation of long-term persistence in two-dimensional images of rocks P. Dimitriadis et al. 10.1016/j.spasta.2018.11.002
53. Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms G. Papacharalampous et al. 10.3390/w11102126
54. Characterizing the spatiotemporal variability of groundwater levels of alluvial aquifers in different settings using drought indices J. Haas & S. Birk 10.5194/hess-21-2421-2017
55. Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters A. Dell'Oca et al. 10.1029/2019WR025754
56. Stochastic simulation of wind wave parameters for energy production K. Kardakaris et al. 10.1016/j.oceaneng.2023.114029
57. Knowable Moments in Stochastics: Knowing Their Advantages D. Koutsoyiannis 10.3390/axioms12060590
58. On Hens, Eggs, Temperatures and CO2: Causal Links in Earth’s Atmosphere D. Koutsoyiannis et al. 10.3390/sci5030035
59. Time’s arrow in stochastic characterization and simulation of atmospheric and hydrological processes D. Koutsoyiannis 10.1080/02626667.2019.1600700
60. Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale G. Papacharalampous et al. 10.1016/j.gsf.2022.101349
61. Developing the Actual Precipitation Probability Distribution Based on the Complete Daily Series W. Zhai et al. 10.3390/su151713136
62. Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece) G. Sargentis et al. 10.3390/infrastructures6010012
63. Irreversibility and complex network behavior of stream flow fluctuations F. Serinaldi & C. Kilsby 10.1016/j.physa.2016.01.043
64. Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale G. Papacharalampous et al. 10.1016/j.advwatres.2019.103470
65. Characterisation of hydroclimatological trends and variability in the Lake Naivasha basin, Kenya V. Odongo et al. 10.1002/hyp.10443
66. Can we tell more than we can know? The limits of bivariate drought analyses in the United States F. Serinaldi 10.1007/s00477-015-1124-3
67. Stochastic analysis and simulation of hydrometeorological processes associated with wind and solar energy G. Tsekouras & D. Koutsoyiannis 10.1016/j.renene.2013.10.018
68. Global Investigation of Double Periodicity οf Hourly Wind Speed for Stochastic Simulation; Application in Greece I. Deligiannis et al. 10.1016/j.egypro.2016.10.001
69. A Global-Scale Investigation of Stochastic Similarities in Marginal Distribution and Dependence Structure of Key Hydrological-Cycle Processes P. Dimitriadis et al. 10.3390/hydrology8020059
70. The tales that the distribution tails of non-Gaussian autocorrelated processes tell: efficient methods for the estimation of thek-length block-maxima distribution I. Tsoukalas 10.1080/02626667.2021.2014056
71. The Spatial Scale Dependence of The Hurst Coefficient in Global Annual Precipitation Data, and Its Role in Characterising Regional Precipitation Deficits within a Naturally Changing Climate E. O’Connell et al. 10.3390/hydrology9110199
72. A comparison of local and aggregated climate model outputs with observed data G. Anagnostopoulos et al. 10.1080/02626667.2010.513518
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74. Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication K. Beven 10.1080/02626667.2015.1031761
75. Projecting the future of rainfall extremes: Better classic than trendy T. Iliopoulou & D. Koutsoyiannis 10.1016/j.jhydrol.2020.125005
76. Unlocking the potential of stochastic simulation through Bluecat: Enhancing runoff predictions in arid and high‐altitude regions J. Jorquera & A. Pizarro 10.1002/hyp.15046
77. Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: Methodology development and investigation using toy models G. Papacharalampous et al. 10.1016/j.advwatres.2019.103471
78. Stochastic synthesis approximating any process dependence and distribution P. Dimitriadis & D. Koutsoyiannis 10.1007/s00477-018-1540-2
79. Quantification of Modelling Uncertainties in Bridge Scour Risk Assessment under Multiple Flood Events A. Pizarro & E. Tubaldi 10.3390/geosciences9100445
80. Time scale and influencing factor variations of water and heat fluxes in sandy land X. Li et al. 10.2166/nh.2022.020
81. Environmental Determinism vs. Social Dynamics: Prehistorical and Historical Examples G. Sargentis et al. 10.3390/world3020020
82. Rethinking Climate, Climate Change, and Their Relationship with Water D. Koutsoyiannis 10.3390/w13060849
83. Hydrological modelling in a changing world M. Peel & G. Blöschl 10.1177/0309133311402550
84. Hurst-Kolmogorov Dynamics and Uncertainty1 D. Koutsoyiannis 10.1111/j.1752-1688.2011.00543.x
85. Climacogram versus autocovariance and power spectrum in stochastic modelling for Markovian and Hurst–Kolmogorov processes P. Dimitriadis & D. Koutsoyiannis 10.1007/s00477-015-1023-7
86. The seventh facet of uncertainty: wrong assumptions, unknowns and surprises in the dynamics of human–water systems G. Di Baldassarre et al. 10.1080/02626667.2015.1091460
87. Simulation of Stochastic Processes Exhibiting Any‐Range Dependence and Arbitrary Marginal Distributions I. Tsoukalas et al. 10.1029/2017WR022462
88. Hydrology and change D. Koutsoyiannis 10.1080/02626667.2013.804626
89. On the statistical complexity of streamflow P. Dey & P. Mujumdar 10.1080/02626667.2021.2000991
90. An analysis of change in alpine annual maximum discharges: implications for the selection of design discharges A. Castellarin & A. Pistocchi 10.1002/hyp.8249
91. A stochastic model for the hourly solar radiation process for application in renewable resources management G. Koudouris et al. 10.5194/adgeo-45-139-2018
92. The uncertainty cascade in model fusion K. Beven & R. Lamb 10.1144/SP408.3
93. Hurst–Kolmogorov dynamics as a result of extremal entropy production D. Koutsoyiannis 10.1016/j.physa.2010.12.035
94. Revealing hidden persistence in maximum rainfall records T. Iliopoulou & D. Koutsoyiannis 10.1080/02626667.2019.1657578
95. Simulation of reactive solute transport in the critical zone: a Lagrangian model for transient flow and preferential transport A. Sternagel et al. 10.5194/hess-25-1483-2021
96. A precipitation shift from snow towards rain leads to a decrease in streamflow W. Berghuijs et al. 10.1038/nclimate2246
97. Imposed and Neglected Uncertainty in the Global Average Surface Air Temperature Index P. Frank 10.1260/0958-305X.22.4.407
98. Advancing catchment hydrology to deal with predictions under change U. Ehret et al. 10.5194/hess-18-649-2014
99. In Search of Climate Crisis in Greece Using Hydrological Data: 404 Not Found D. Koutsoyiannis et al. 10.3390/w15091711
100. Ecohydrological particle model based on representative domains C. Jackisch & E. Zehe 10.5194/hess-22-3639-2018
101. Debates: Does Information Theory Provide a New Paradigm for Earth Science? Sharper Predictions Using Occam's Digital Razor S. Weijs & B. Ruddell 10.1029/2019WR026471
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104. Simple stochastic simulation of time irreversible and reversible processes D. Koutsoyiannis 10.1080/02626667.2019.1705302
105. Robust informational entropy-based descriptors of flow in catchment hydrology I. Pechlivanidis et al. 10.1080/02626667.2014.983516
106. Stochastic Evaluation of Landscapes Transformed by Renewable Energy Installations and Civil Works G. Sargentis et al. 10.3390/en12142817
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109. Towards Generic Simulation for Demanding Stochastic Processes D. Koutsoyiannis & P. Dimitriadis 10.3390/sci3030034
110. Estimation of Hydropower Potential Using Bayesian and Stochastic Approaches for Streamflow Simulation and Accounting for the Intermediate Storage Retention K. Spanoudaki et al. 10.3390/en15041413
111. Entropy Production in Stochastics D. Koutsoyiannis 10.3390/e19110581
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115. A new methodology to define homogeneous regions through an entropy based clustering method E. Ridolfi et al. 10.1016/j.advwatres.2016.07.007
116. Stochastic Analysis of Hourly to Monthly Potential Evapotranspiration with a Focus on the Long-Range Dependence and Application with Reanalysis and Ground-Station Data P. Dimitriadis et al. 10.3390/hydrology8040177
117. Modeling and mitigating natural hazards: Stationarity is immortal! A. Montanari & D. Koutsoyiannis 10.1002/2014WR016092
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123. Simulating preferential soil water flow and tracer transport using the Lagrangian Soil Water and Solute Transport Model A. Sternagel et al. 10.5194/hess-23-4249-2019
124. Untenable nonstationarity: An assessment of the fitness for purpose of trend tests in hydrology F. Serinaldi et al. 10.1016/j.advwatres.2017.10.015
125. Can a simple stochastic model generate rich patterns of rainfall events? S. Papalexiou et al. 10.1016/j.jhydrol.2011.10.008
126. Two-dimensional Hurst–Kolmogorov process and its application to rainfall fields D. Koutsoyiannis et al. 10.1016/j.jhydrol.2010.12.012
127. A guide to good practice in modeling semantics for authors and referees K. Beven & P. Young 10.1002/wrcr.20393
128. Perceptual models of uncertainty for socio-hydrological systems: a flood risk change example I. Westerberg et al. 10.1080/02626667.2017.1356926
129. Climate impacts on water balance of a shallow steppe lake in Eastern Austria (Lake Neusiedl) G. Soja et al. 10.1016/j.jhydrol.2012.12.013
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131. Climate change impacts—throwing the dice? G. Blöschl & A. Montanari 10.1002/hyp.7574