143 citations as recorded by crossref.

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29. The mode of the climacogram estimator for a Gaussian Hurst-Kolmogorov process P. Dimitriadis & D. Koutsoyiannis 10.2166/hydro.2019.038
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31. A blueprint for process‐based modeling of uncertain hydrological systems A. Montanari & D. Koutsoyiannis 10.1029/2011WR011412
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33. 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
34. Randomness: a property of the mathematical and physical systems A. Tsonis 10.1080/02626667.2014.992434
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36. Understanding Persistence to Avoid Underestimation of Collective Flood Risk F. Serinaldi & C. Kilsby 10.3390/w8040152
37. A Stochastic View of Varying Styles in Art Paintings G. Sargentis et al. 10.3390/heritage4010021
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39. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
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41. 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
42. Negligent killing of scientific concepts: the stationarity case D. Koutsoyiannis & A. Montanari 10.1080/02626667.2014.959959
43. A Multilayer Perceptron Model for Stochastic Synthesis E. Rozos et al. 10.3390/hydrology8020067
44. On the Sensitivity of Standardized-Precipitation-Evapotranspiration and Aridity Indexes Using Alternative Potential Evapotranspiration Models A. Tegos et al. 10.3390/hydrology10030064
45. 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
46. Knowable moments for high-order stochastic characterization and modelling of hydrological processes D. Koutsoyiannis 10.1080/02626667.2018.1556794
47. Predictability in dice motion: how does it differ from hydro-meteorological processes? P. Dimitriadis et al. 10.1080/02626667.2015.1034128
48. Do probabilistic forecasts lead to better decisions? M. Ramos et al. 10.5194/hess-17-2219-2013
49. 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
50. Stochastic Modeling of Hydroclimatic Processes Using Vine Copulas G. Pouliasis et al. 10.3390/w13162156
51. Reconciling the signal and noise of atmospheric warming on decadal timescales R. Jones & J. Ricketts 10.5194/esd-8-177-2017
52. 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
53. Preface—Special Issue: Facets of Uncertainty A. Carsteanu et al. 10.1080/02626667.2016.1186919
54. Investigation on the stochastic nature of the solar radiation process G. Koudouris et al. 10.1016/j.egypro.2017.08.076
55. Stochastic assessment of temperature–CO₂ causal relationship in climate from the Phanerozoic through modern times D. Koutsoyiannis 10.3934/mbe.2024287
56. Just a Single-Layer CNN for Stochastic Modeling: A Discriminator-Free Approach E. Rozos 10.3390/hydrology12070170
57. Revisiting the global hydrological cycle: is it intensifying? D. Koutsoyiannis 10.5194/hess-24-3899-2020
58. 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
59. 3D stochastic modeling of flow and solute transport in karst vadose zone D. Zeqiraj 10.1016/j.cscee.2022.100217
60. Stochastic investigation of long-term persistence in two-dimensional images of rocks P. Dimitriadis et al. 10.1016/j.spasta.2018.11.002
61. Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms G. Papacharalampous et al. 10.3390/w11102126
62. 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
63. Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters A. Dell'Oca et al. 10.1029/2019WR025754
64. Stochastic simulation of wind wave parameters for energy production K. Kardakaris et al. 10.1016/j.oceaneng.2023.114029
65. Knowable Moments in Stochastics: Knowing Their Advantages D. Koutsoyiannis 10.3390/axioms12060590
66. On Hens, Eggs, Temperatures and CO2: Causal Links in Earth’s Atmosphere D. Koutsoyiannis et al. 10.3390/sci5030035
67. Time’s arrow in stochastic characterization and simulation of atmospheric and hydrological processes D. Koutsoyiannis 10.1080/02626667.2019.1600700
68. 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
69. Developing the Actual Precipitation Probability Distribution Based on the Complete Daily Series W. Zhai et al. 10.3390/su151713136
70. Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece) G. Sargentis et al. 10.3390/infrastructures6010012
71. Irreversibility and complex network behavior of stream flow fluctuations F. Serinaldi & C. Kilsby 10.1016/j.physa.2016.01.043
72. 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
73. Characterisation of hydroclimatological trends and variability in the Lake Naivasha basin, Kenya V. Odongo et al. 10.1002/hyp.10443
74. 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
75. Stochastic analysis and simulation of hydrometeorological processes associated with wind and solar energy G. Tsekouras & D. Koutsoyiannis 10.1016/j.renene.2013.10.018
76. 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
77. 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
78. 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
79. 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
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81. All in order: Distribution of serially correlated order statistics with applications to hydrological extremes F. Serinaldi et al. 10.1016/j.advwatres.2020.103686
82. Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication K. Beven 10.1080/02626667.2015.1031761
83. Projecting the future of rainfall extremes: Better classic than trendy T. Iliopoulou & D. Koutsoyiannis 10.1016/j.jhydrol.2020.125005
84. 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
85. Comment on “Are soils overrated in hydrology?” by Gao et al. (2023) Y. Zhao et al. 10.5194/hess-28-4059-2024
86. 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
87. Stochastic synthesis approximating any process dependence and distribution P. Dimitriadis & D. Koutsoyiannis 10.1007/s00477-018-1540-2
88. Time scale and influencing factor variations of water and heat fluxes in sandy land X. Li et al. 10.2166/nh.2022.020
89. Environmental Determinism vs. Social Dynamics: Prehistorical and Historical Examples G. Sargentis et al. 10.3390/world3020020
90. Rethinking Climate, Climate Change, and Their Relationship with Water D. Koutsoyiannis 10.3390/w13060849
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92. Hurst-Kolmogorov Dynamics and Uncertainty1 D. Koutsoyiannis 10.1111/j.1752-1688.2011.00543.x
93. 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
94. 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
95. Simulation of Stochastic Processes Exhibiting Any‐Range Dependence and Arbitrary Marginal Distributions I. Tsoukalas et al. 10.1029/2017WR022462
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98. An analysis of change in alpine annual maximum discharges: implications for the selection of design discharges A. Castellarin & A. Pistocchi 10.1002/hyp.8249
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106. Advancing catchment hydrology to deal with predictions under change U. Ehret et al. 10.5194/hess-18-649-2014
107. In Search of Climate Crisis in Greece Using Hydrological Data: 404 Not Found D. Koutsoyiannis et al. 10.3390/w15091711
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135. 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
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