Revealing hidden persistence in maximum rainfall records-Reference-Cited by-同舟云学术

Revealing hidden persistence in maximum rainfall records

Published:2019-10-02 Issue:14 Volume:64 Page:1673-1689
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Iliopoulou Theano¹,Koutsoyiannis Demetris¹

Affiliation:

1. Department of Water Resources, Faculty of Civil Engineering, National Technical University of Athens, Zografou, Greece

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2019.1657578

Reference48 articles.

1. On Hurst exponent estimation under heavy-tailed distributions

2. An Introduction to Statistical Modeling of Extreme Values

3. Dimitriadis, P., 2017. Hurst-Kolmogorov dynamics in hydrometeorological processes and in the microscale of turbulence. Thesis. National Technical University of Athens, Athens, Greece.

4. Climacogram versus autocovariance and power spectrum in stochastic modelling for Markovian and Hurst–Kolmogorov processes

5. Stochastic synthesis approximating any process dependence and distribution

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatiotemporal clustering of streamflow extremes and relevance to flood insurance claims: a stochastic investigation for the contiguous USA;Natural Hazards;2024-07-30

2. Scientific logic and spatio-temporal dependence in analyzing extreme-precipitation frequency: negligible or neglected?;Hydrology and Earth System Sciences;2024-07-23

3. A stochastic framework for rainfall intensity–time scale–return period relationships. Part I: theory and estimation strategies;Hydrological Sciences Journal;2024-06-05

4. Temporal clustering of streamflow extremes and relevance to flood insurance claims: a stochastic investigation for the contiguous USA;2024-04-03

5. Bayesian extreme value modelling of annual maximum monthly rainfall in Somalia from 1901 to 2022;AIMS Geosciences;2024