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NHESS | Articles | Volume 19, issue 1
Nat. Hazards Earth Syst. Sci., 19, 221-236, 2019
https://doi.org/10.5194/nhess-19-221-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Nat. Hazards Earth Syst. Sci., 19, 221-236, 2019
https://doi.org/10.5194/nhess-19-221-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Jan 2019

Research article | 25 Jan 2019

The selection of directional sectors for the analysis of extreme wind speed

Pedro Folgueras et al.
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Cited articles  
Anderson, T. W. and Darling, D. A.: Asymptotic theory of certain `goodness-of-fit' criteria based on stochastic processes, Ann. Math. Stat., 23, 193–212, https://doi.org/10.1214/aoms/1177729437, 1952. a, b, c
API: API RP 2A-WSD: Recommended Practice for Planning, Designing and Constructing Fixed Offshore Platforms-Working Stress Design, vol. 21, American Petroleum Institute, Washington, 2000. a, b
Brabson, B. and Palutikof, J.: Tests of the generalized Pareto distribution for predicting extreme wind speeds, J. Appl. Meteorol., 39, 1627–1640, 2000. a
Byrd, R. H., Gilbert, J. C., and Nocedal, J.: A trust region method based on interior point techniques for nonlinear programming, Math. Program., 89, 149–185, 2000. a
Coles, S. G.: An introduction to Statistical Modeling of Extreme Values, Springer, London, https://doi.org/10.1007/978-1-4471-3675-0, 2001. a, b
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Short summary
Directional effects are often relevant when studying the extreme values of natural agents, such as wind, waves, or currents. The use of a priori defined divisions is a common but subjective way to address the problem and may not fit data well in certain cases. In this work, a rational method is presented for the selection of directional sectors that, taking into account statistical indicators of the data, leads to the definition of independent and statistically homogeneous sectors.
Directional effects are often relevant when studying the extreme values of natural agents, such...
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