Statistics of extremes and estimation of extreme rainfall: II. Empirical investigation of long rainfall records / Statistiques de valeurs extrêmes et estimation de précipitations extrêmes: II.…

By Demetris Koutsoyiannis. 2004

300 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4ddf09fb51d5bc08fa34b40c645e24452a04c38d

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Citations in the corpus

Intensity–duration–frequency (IDF) rainfall curves in Senegal (2017, background): “Indeed, such heavy-tailed behavior in daily rainfall samples is generally found: in the African region (e.g., Panthou et al., 2012; Giugni et al., 2015) but also all around the world (e.g., Koutsoyiannis, 2004b; Papalexiou and Koutsoyiannis, 2013).”
Uncertainty, entropy, scaling and hydrological stochastics. 1. Marginal distributional properties of hydrological processes and state scaling / Incertitude, entropie, effet d'échelle et propriétés stochastiques hydrologiques. 1. Propriétés distributionnelles marginales des processus hydrologiques et (2005, methodology): “Thus, knowing that, as a result of the ME principle, the distribution of rainfall at a small time scale is power- rather than exponential-type will lead to the use of EV2, rather than EV1, distribution of maximum rainfall.”
Bayesian hierarchical modeling of extreme hourly precipitation in Norway (2013, methodology): “Koutsoyiannis (2004) indicated a shape value of 0.15 as appropriate for daily precipitation in mid-latitude areas of the Northern Hemisphere after using several different methods of estimation.”
A fundamental probability distribution for heavy rainfall (2005, methodology): “In Figure 1, the GP distribution fitted to daily precipitation accumulations greater than 10 mm for Cambridge is shown to have x = 0.11 ± 0.03, consistent with the extensive evidence that precipitation is heavy tailed [Koutsoyiannis, 2004].”
Simulation of the entire range of daily precipitation using a hybrid probability distribution (2012, background): “In the HEG distribution, is forced to be positive, considering the fact that daily precipitation is widely acknowledged being heavy tail distributed [Koutsoyiannis, 2004a, 2004b; Vrac and Naveau, 2007, Furrer and Katz, 2008].”
Rainfall depth-duration-frequency curves and their uncertainties (2008, methodology): “Negative values of j have been found in many other studies for D 6 24 h. E.g. Koutsoyiannis (2004) observed that j = 0.15 for daily annual maximum rainfall in different climatic zones of the USA, the UK and the Mediterranean.”
Threshold detection for the generalized Pareto distribution: Review of representative methods and application to the NOAA NCDC daily rainfall database (2016, background): “…problem in engineering hydrology [see e.g., Bernard, 1932; Demar ee, 1985; Coles and Tawn, 1996; Koutsoyiannis et al., 1998; Katz et al., 2002; Koutsoyiannis, 2004a, 2004b; Cooley et al., 2007; Veneziano et al., 2006, 2007, 2009; Veneziano and Yoon, 2013; Deidda, 2010; El Adlouni and Ouarda,…”
Battle of extreme value distributions: A global survey on extreme daily rainfall (2013, methodology): “[14] This analysis indicates that even if the parent distribution of daily rainfall is of exponential type, thus belonging theoretically to the domain of attraction of the Gumbel law, the annual maximum is better described by the Fr echet law [see also Koutsoyiannis, 2004a].”
Design rainfall estimation in Australia: a case study using L moments and Generalized Least Squares Regression (2011, background): “are relatively short (e.g., Hosking and Wallis 1993; Lim and Lye 2003; Meshgi and Khalili 2009a, b; Yang et al. 2010; Schaefer 1990; Alila 1999; Adamowski et al. 1996; Fennessey 1998; Madsen et al. 1998, 2002, 2009; Koutsoyiannis 2004; Jakob et al. 2005, 2007, 2008a).”
Statistics of extremes and estimation of extreme rainfall: I. Theoretical investigation / Statistiques de valeurs extrêmes et estimation de précipitations extrêmes: I. Recherche théorique (2004, methodology): “This is discussed in the section “The hiding of the EV2 distribution” based on a simulation study and in part II of the study (Koutsoyiannis, 2004) based on the real-world collection of long records.”
How extreme is extreme? An assessment of daily rainfall distribution tails (2012, background): “Additionally, we note that heavy tails tend to be hidden (see e.g. Koutsoyiannis, 2004a,b) especially when the sample size is small.”
An entropic‐stochastic representation of rainfall intermittency: The origin of clustering and persistence (2006, methodology): “…the rainfall depth at scale k, application of the ME principle of Koutsoyiannis [2005b] showed that this variable should have Pareto-type distribution, thus verifying and explaining an earlier investigation [Koutsoyiannis, 2004a, 2004b] based on a large database of rainfall maxima worldwide.”