Articles | Volume 18, issue 1
https://doi.org/10.5194/hess-18-243-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-18-243-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Jan 2014
Research article |
| 17 Jan 2014
Just two moments! A cautionary note against use of high-order moments in multifractal models in hydrology
F. Lombardo
Dipartimento di Ingegneria, Università degli Studi Roma Tre, Via Vito Volterra, 62 – 00146 Rome, Italy
E. Volpi
Dipartimento di Ingegneria, Università degli Studi Roma Tre, Via Vito Volterra, 62 – 00146 Rome, Italy
D. Koutsoyiannis
Department of Water Resources, Faculty of Civil Engineering, National Technical University of Athens, Heroon Polytechneiou 5, 15780 Zographou, Greece
S. M. Papalexiou
Department of Water Resources, Faculty of Civil Engineering, National Technical University of Athens, Heroon Polytechneiou 5, 15780 Zographou, Greece
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- An unbiased estimator of coefficient of variation of streamflow L. Ye et al. 10.1016/j.jhydrol.2021.125954
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45 citations as recorded by crossref.
- A theoretically consistent stochastic cascade for temporal disaggregation of intermittent rainfall F. Lombardo et al. 10.1002/2017WR020529
- Simple stochastic simulation of time irreversible and reversible processes D. Koutsoyiannis 10.1080/02626667.2019.1705302
- Tsallis Entropy Theory for Modeling in Water Engineering: A Review V. Singh et al. 10.3390/e19120641
- Simulation of Stochastic Processes Exhibiting Any‐Range Dependence and Arbitrary Marginal Distributions I. Tsoukalas et al. 10.1029/2017WR022462
- Unravelling the scaling characteristics of daily streamflows of Brahmani river basin, India, using arbitrary-order Hilbert spectral and detrended fluctuation analyses S. Adarsh et al. 10.1007/s42452-018-0056-1
- Influence of DEM resolution on drainage network extraction: A multifractal analysis A. Ariza-Villaverde et al. 10.1016/j.geomorph.2015.03.040
- An unbiased estimator of coefficient of variation of streamflow L. Ye et al. 10.1016/j.jhydrol.2021.125954
- Scaling and Distributional Properties of Precipitation Interamount Times M. Schleiss 10.1175/JHM-D-16-0221.1
- When Are Models Useful? Revisiting the Quantification of Reality Checks D. Koutsoyiannis 10.3390/w17020264
- 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
- Statistical scaling, Shannon entropy, and Generalized space-timeq-entropy of rainfall fields in tropical South America G. Poveda & H. Salas 10.1063/1.4922595
- Knowable moments for high-order stochastic characterization and modelling of hydrological processes D. Koutsoyiannis 10.1080/02626667.2018.1556794
- Non-asymptotic distributions of water extremes: much ado about what? F. Serinaldi et al. 10.5194/hess-29-1159-2025
- A Cautionary Note on the Reproduction of Dependencies through Linear Stochastic Models with Non-Gaussian White Noise I. Tsoukalas et al. 10.3390/w10060771
- Stochastic Modeling of Hydroclimatic Processes Using Vine Copulas G. Pouliasis et al. 10.3390/w13162156
- Complex coastal oceanographic fields can be described by universal multifractals J. Skákala & T. Smyth 10.1002/2015JC011111
- Stochastic synthesis approximating any process dependence and distribution P. Dimitriadis & D. Koutsoyiannis 10.1007/s00477-018-1540-2
- Revealing hidden persistence in maximum rainfall records T. Iliopoulou & D. Koutsoyiannis 10.1080/02626667.2019.1657578
- Sensitivity of power functions to aggregation: Bias and uncertainty in radar rainfall retrieval M. Sassi et al. 10.1002/2013WR015109
- Time’s arrow in stochastic characterization and simulation of atmospheric and hydrological processes D. Koutsoyiannis 10.1080/02626667.2019.1600700
- Statistical analysis of hydrological response in urbanising catchments based on adaptive sampling using inter-amount times M. ten Veldhuis & M. Schleiss 10.5194/hess-21-1991-2017
- 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
- Building a puzzle to solve a riddle: A multi-scale disaggregation approach for multivariate stochastic processes with any marginal distribution and correlation structure I. Tsoukalas et al. 10.1016/j.jhydrol.2019.05.017
- Closure to “Probability Distribution of Waiting Time of the kth Extreme Event under Serial Dependence” by Francesco Serinaldi and Federico Lombardo F. Serinaldi & F. Lombardo 10.1061/(ASCE)HE.1943-5584.0002063
- Unified theory for stochastic modelling of hydroclimatic processes: Preserving marginal distributions, correlation structures, and intermittency S. Papalexiou 10.1016/j.advwatres.2018.02.013
- 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
- Detection of changes in the dynamics of thermonuclear plasmas to improve the prediction of disruptions T. Craciunescu & A. Murari 10.1007/s11071-022-08009-x
- Temporal rainfall disaggregation using a multiplicative cascade model for spatial application in urban hydrology H. Müller & U. Haberlandt 10.1016/j.jhydrol.2016.01.031
- Testing tests before testing data: an untold tale of compound events and binary dependence F. Serinaldi et al. 10.1007/s00477-022-02190-6
- Generic and parsimonious stochastic modelling for hydrology and beyond D. Koutsoyiannis 10.1080/02626667.2015.1016950
- Temporal rainfall disaggregation using a micro-canonical cascade model: possibilities to improve the autocorrelation H. Müller-Thomy 10.5194/hess-24-169-2020
- Assessing extremes in hydroclimatology: A review on probabilistic methods S. Nerantzaki & S. Papalexiou 10.1016/j.jhydrol.2021.127302
- Evaluation of spatio‐temporal rainfall variability and performance of a stochastic rainfall model in Bangladesh A. Chowdhury et al. 10.1002/joc.6071
- Replacing Histogram with Smooth Empirical Probability Density Function Estimated by K-Moments D. Koutsoyiannis 10.3390/sci4040050
- Raindrop size distribution: Fitting performance of common theoretical models E. Adirosi et al. 10.1016/j.advwatres.2016.07.010
- 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
- Precise Temporal Disaggregation Preserving Marginals and Correlations (DiPMaC) for Stationary and Nonstationary Processes S. Papalexiou et al. 10.1029/2018WR022726
- Spatial Hurst–Kolmogorov Clustering P. Dimitriadis et al. 10.3390/encyclopedia1040077
- Comparison of different fittings of drop spectra for rainfall retrievals E. Adirosi et al. 10.1016/j.advwatres.2015.05.009
- Developing intensity duration frequency curves based on scaling theory using linear probability weighted moments: A case study from India A. Bairwa et al. 10.1016/j.jhydrol.2016.09.056
- The mode of the climacogram estimator for a Gaussian Hurst-Kolmogorov process P. Dimitriadis & D. Koutsoyiannis 10.2166/hydro.2019.038
- Stochastic similarities between the microscale of turbulence and hydro-meteorological processes P. Dimitriadis et al. 10.1080/02626667.2015.1085988
- Scattering spectra models for physics S. Cheng et al. 10.1093/pnasnexus/pgae103
- Scientific logic and spatio-temporal dependence in analyzing extreme-precipitation frequency: negligible or neglected? F. Serinaldi 10.5194/hess-28-3191-2024
- Effect of urbanization on the long-term persistence of streamflow records T. Jovanovic et al. 10.1016/j.physa.2015.12.024
1 citations as recorded by crossref.
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