Discussion of “The annual rate of independent events for the analysis of extreme wind speed” By Alessio Torrielli, Maria Pia Repetto & Giovanni Solari-Reference-Cited by-同舟云学术

Discussion of “The annual rate of independent events for the analysis of extreme wind speed” By Alessio Torrielli, Maria Pia Repetto & Giovanni Solari

Published:2017-05 Issue: Volume:164 Page:174-178
ISSN:0167-6105
Container-title:Journal of Wind Engineering and Industrial Aerodynamics
language:en
Short-container-title:Journal of Wind Engineering and Industrial Aerodynamics

Author:

Harris R. Ian

Publisher

Elsevier BV

Subject

Mechanical Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Reference15 articles.

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2. Towards better estimation of extreme winds;Cook;JWEIA,1982

3. A statistical model of the seasonal-diurnal wind climate at Adelaide;Cook;Aust. Meteorol. Oceanogr. J.,2015

4. Exact and general FT1 penultimate distributions of extreme wind speeds drawn from tail-equivalent Weibull parents;Cook;Struct. Saf.,2004

5. Postscript to "Exact and general FT1 penultimate distributions of extreme wind speeds drawn from tail-equivalent Weibull parents";Cook;Struct. Saf.,2008

Cited by 5 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. The annual rate of independent events – A key interpretation for traditional extreme value distributions of wind velocity;Wind Energy;2022-03-29

2. Implications of the OEN mixture model of the mean wind vector for the generation of synthetic timeseries and for the assessment of extremes;Journal of Wind Engineering and Industrial Aerodynamics;2021-01

3. Response to the further discussion on “The annual rate of independent events for the analysis of extreme wind speed, by N. Cook”;Journal of Wind Engineering and Industrial Aerodynamics;2018-03

4. Further discussion of “The annual rate of independent events for the analysis of extreme wind speed” by Alessio Torrielli, Maria Pia Repetto & Giovanni Solari;Journal of Wind Engineering and Industrial Aerodynamics;2018-03

5. Technical note: On extracting independent peak values from correlated time series for assessing extremes;Journal of Wind Engineering and Industrial Aerodynamics;2017-11