A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Challenges in modelling stochasticity in wind
10.1002/env.522.abs
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.
Challenges in modelling stochasticity in wind
10.1002/env.522.abs
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.
Challenges in modelling stochasticity in wind
Kestens, Elke (author) / Teugels, Jef L. (author)
Environmetrics ; 13 ; 821-830
2002-12-01
10 pages
Article (Journal)
Electronic Resource
English
Challenges in modelling stochasticity in wind
| Online Contents | 2002
Stochasticity of Wind Processes and Spectral Analysis of Structural Gust Response
| Springer Verlag | 2019
Experimental determination of system stochasticity
| British Library Conference Proceedings | 1993
Effect of stochasticity on scaling properties of crack propagation
| British Library Online Contents | 1993
Effect of streamflow stochasticity on bedform-driven hyporheic exchange
| British Library Online Contents | 2010