MATEC Web Conf.
Volume 107, 2017Dynamics of Civil Engineering and Transport Structures and Wind Engineering – DYN-WIND’2017
|Number of page(s)||8|
|Published online||24 May 2017|
Random variation and correlation of the weather data series – evaluation and simulation using bounded histograms
1 VSB – Technical University of Ostrava, Faculty of Civil Engineering, Department of Structural Mechanics, Ludvika Podeste 1875/17, 708 33 Ostrava-Poruba, Czech Republic
2 VSB – Technical University of Ostrava, Faculty of Civil Engineering, Department of Structures, Ludvika Podeste 1875/17, 708 33 Ostrava-Poruba, Czech Republic
* Corresponding author: email@example.com
The contribution is focused on the random variation and correlation of input parameters for the climate data description. The climate data such as ambient temperature, solar intensity, wind speed and direction are of the random nature. The description of ambient temperature can be based on the climate data time series in the form of climatic “load duration curve”. Particular input parameters such as ambient temperature and solar radiation have a significant correlation. The attention is paid especially to the evaluation and simulation application of the histograms using Monte Carlo type process considering correlation of particular parameters.
© The Authors, published by EDP Sciences, 2017
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