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Open AccessArticle

Stochastic Model of Spatial Fields of the Average Daily Wind Chill Index

1
Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk 630090, Russia
2
Department of Mathematics and Mechanics, Novosibirsk State University, Novosibirsk 630090, Russia
Information 2020, 11(4), 177; https://doi.org/10.3390/info11040177
Received: 20 February 2020 / Revised: 13 March 2020 / Accepted: 24 March 2020 / Published: 26 March 2020
(This article belongs to the Special Issue Selected Papers from ESM 2019)
The objective of this paper was to construct a numerical stochastic model of the spatial field of the average daily wind chill index on an irregular grid defined by the location of the weather stations. It is shown in the paper that the field in question was heterogeneous and non-Gaussian. A stochastic model based on the real data collected at the weather stations located in West Siberia and on the method of the inverse distribution function that sufficiently well reproduce different characteristics of the real field of the average daily wind chill index is proposed in this paper. I also discussed several questions related to the simulation of the field on a regular grid. In the future, my intention is to transform the model proposed to a model of the conditional spatio-temporal field defined on a regular grid that allows one to forecast the wind chill index.
Keywords: stochastic simulation; spatial random field; non-Gaussian random process; wind chill index; West Siberia stochastic simulation; spatial random field; non-Gaussian random process; wind chill index; West Siberia
MDPI and ACS Style

Kargapolova, N. Stochastic Model of Spatial Fields of the Average Daily Wind Chill Index. Information 2020, 11, 177.

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