142 citations as recorded by crossref.

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36. Understanding Persistence to Avoid Underestimation of Collective Flood Risk F. Serinaldi & C. Kilsby 10.3390/w8040152
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44. On the Sensitivity of Standardized-Precipitation-Evapotranspiration and Aridity Indexes Using Alternative Potential Evapotranspiration Models A. Tegos et al. 10.3390/hydrology10030064
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46. Knowable moments for high-order stochastic characterization and modelling of hydrological processes D. Koutsoyiannis 10.1080/02626667.2018.1556794
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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
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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
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56. Revisiting the global hydrological cycle: is it intensifying? D. Koutsoyiannis 10.5194/hess-24-3899-2020
57. 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
58. 3D stochastic modeling of flow and solute transport in karst vadose zone D. Zeqiraj 10.1016/j.cscee.2022.100217
59. Stochastic investigation of long-term persistence in two-dimensional images of rocks P. Dimitriadis et al. 10.1016/j.spasta.2018.11.002
60. Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms G. Papacharalampous et al. 10.3390/w11102126
61. 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
62. Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters A. Dell'Oca et al. 10.1029/2019WR025754
63. Stochastic simulation of wind wave parameters for energy production K. Kardakaris et al. 10.1016/j.oceaneng.2023.114029
64. Knowable Moments in Stochastics: Knowing Their Advantages D. Koutsoyiannis 10.3390/axioms12060590
65. On Hens, Eggs, Temperatures and CO2: Causal Links in Earth’s Atmosphere D. Koutsoyiannis et al. 10.3390/sci5030035
66. Time’s arrow in stochastic characterization and simulation of atmospheric and hydrological processes D. Koutsoyiannis 10.1080/02626667.2019.1600700
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68. Developing the Actual Precipitation Probability Distribution Based on the Complete Daily Series W. Zhai et al. 10.3390/su151713136
69. Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece) G. Sargentis et al. 10.3390/infrastructures6010012
70. Irreversibility and complex network behavior of stream flow fluctuations F. Serinaldi & C. Kilsby 10.1016/j.physa.2016.01.043
71. 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
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74. Stochastic analysis and simulation of hydrometeorological processes associated with wind and solar energy G. Tsekouras & D. Koutsoyiannis 10.1016/j.renene.2013.10.018
75. 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
76. 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
77. 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
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82. Projecting the future of rainfall extremes: Better classic than trendy T. Iliopoulou & D. Koutsoyiannis 10.1016/j.jhydrol.2020.125005
83. 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
84. Comment on “Are soils overrated in hydrology?” by Gao et al. (2023) Y. Zhao et al. 10.5194/hess-28-4059-2024
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86. Stochastic synthesis approximating any process dependence and distribution P. Dimitriadis & D. Koutsoyiannis 10.1007/s00477-018-1540-2
87. Time scale and influencing factor variations of water and heat fluxes in sandy land X. Li et al. 10.2166/nh.2022.020
88. Environmental Determinism vs. Social Dynamics: Prehistorical and Historical Examples G. Sargentis et al. 10.3390/world3020020
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94. Simulation of Stochastic Processes Exhibiting Any‐Range Dependence and Arbitrary Marginal Distributions I. Tsoukalas et al. 10.1029/2017WR022462
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106. In Search of Climate Crisis in Greece Using Hydrological Data: 404 Not Found D. Koutsoyiannis et al. 10.3390/w15091711
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