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Challenges in modelling stochasticity in wind
Author(s) -
Kestens Elke,
Teugels Jef L.
Publication year - 2002
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.522
Subject(s) - extreme value theory , computer science , process (computing) , quality (philosophy) , wind speed , stochastic process , stochastic modelling , econometrics , operations research , risk analysis (engineering) , meteorology , engineering , mathematics , statistics , geography , business , philosophy , epistemology , operating system
This article is an attempt to summarize some of the existing problems in stochastic aspects of wind. Different types of wind are listed with their specific properties. For most of them no statistical model or stochastic process has been constructed as yet. At the same time, existing problems with data are very diverse and possible improvements are proposed. For example, the quality of wind speed and wind direction data might be upgraded by a careful inclusion of measurable covariates while developing models. Other problems are dealing with extreme winds that can hardly be measured accurately. In this connection, interesting and important questions for insurance companies and for construction engineers can be tackled by applying extreme value theory. This incomplete overview hopes to encourage stochasticians to put more interest in wind problems. At the same time it is hoped that meteorologists will help them with high quality data, needed in the verification of the offered models. Copyright © 2002 John Wiley & Sons, Ltd.