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Numerical stochastic modelling of spatial and spatio-temporal fields of the wind chill index in the South of Western Siberia. / Kargapolova, Nina A.; Ogorodnikov, Vasily A.

In: Russian Journal of Numerical Analysis and Mathematical Modelling, Vol. 36, No. 1, 01.02.2021, p. 33-42.

Research output: Contribution to journal › Article › peer-review

Harvard

Kargapolova, NA & Ogorodnikov, VA 2021, 'Numerical stochastic modelling of spatial and spatio-temporal fields of the wind chill index in the South of Western Siberia', Russian Journal of Numerical Analysis and Mathematical Modelling, vol. 36, no. 1, pp. 33-42. https://doi.org/10.1515/rnam-2021-0003

APA

Kargapolova, N. A., & Ogorodnikov, V. A. (2021). Numerical stochastic modelling of spatial and spatio-temporal fields of the wind chill index in the South of Western Siberia. Russian Journal of Numerical Analysis and Mathematical Modelling, 36(1), 33-42. https://doi.org/10.1515/rnam-2021-0003

Vancouver

Kargapolova NA, Ogorodnikov VA. Numerical stochastic modelling of spatial and spatio-temporal fields of the wind chill index in the South of Western Siberia. Russian Journal of Numerical Analysis and Mathematical Modelling. 2021 Feb 1;36(1):33-42. doi: 10.1515/rnam-2021-0003

Author

Kargapolova, Nina A. ; Ogorodnikov, Vasily A. / Numerical stochastic modelling of spatial and spatio-temporal fields of the wind chill index in the South of Western Siberia. In: Russian Journal of Numerical Analysis and Mathematical Modelling. 2021 ; Vol. 36, No. 1. pp. 33-42.

BibTeX

@article{d02c68be22bc48e39a55e043ae2d5990,
title = "Numerical stochastic modelling of spatial and spatio-temporal fields of the wind chill index in the South of Western Siberia",
abstract = "The paper presents the results of comparison of various methods of spatial interpolation of the wind chill index in two regions located in the South of Western Siberia (Russia). It is shown that stochastic interpolation provides the least interpolation error in the considered regions. The results of modelling the spatial and spatio-temporal fields of the considered bioclimatic index on a regular grid are presented.",
keywords = "Inhomogeneous random field, Interpolation, Stochastic modelling, Western Siberia, Wind chill index",
author = "Kargapolova, {Nina A.} and Ogorodnikov, {Vasily A.}",
note = "Funding Information: The software package for spatial interpolation and simulation of the WCI field on a regular grid was created under state contract with ICMMG SB RAS (0315-2019-0002), the theoretical models development was partly financially supported by the Russian Foundation for Basic Research (grant No. 18-01-00149-a), the Russian Foundation for Basic Research and the Government of the Novosibirsk region according to the research project No. 19-41-543001-r_mol_a. Publisher Copyright: {\textcopyright} 2021 De Gruyter. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = feb,
day = "1",
doi = "10.1515/rnam-2021-0003",
language = "English",
volume = "36",
pages = "33--42",
journal = "Russian Journal of Numerical Analysis and Mathematical Modelling",
issn = "0927-6467",
publisher = "Walter de Gruyter GmbH",
number = "1",

}

RIS

TY - JOUR

T1 - Numerical stochastic modelling of spatial and spatio-temporal fields of the wind chill index in the South of Western Siberia

AU - Kargapolova, Nina A.

AU - Ogorodnikov, Vasily A.

N1 - Funding Information: The software package for spatial interpolation and simulation of the WCI field on a regular grid was created under state contract with ICMMG SB RAS (0315-2019-0002), the theoretical models development was partly financially supported by the Russian Foundation for Basic Research (grant No. 18-01-00149-a), the Russian Foundation for Basic Research and the Government of the Novosibirsk region according to the research project No. 19-41-543001-r_mol_a. Publisher Copyright: © 2021 De Gruyter. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/2/1

Y1 - 2021/2/1

N2 - The paper presents the results of comparison of various methods of spatial interpolation of the wind chill index in two regions located in the South of Western Siberia (Russia). It is shown that stochastic interpolation provides the least interpolation error in the considered regions. The results of modelling the spatial and spatio-temporal fields of the considered bioclimatic index on a regular grid are presented.

AB - The paper presents the results of comparison of various methods of spatial interpolation of the wind chill index in two regions located in the South of Western Siberia (Russia). It is shown that stochastic interpolation provides the least interpolation error in the considered regions. The results of modelling the spatial and spatio-temporal fields of the considered bioclimatic index on a regular grid are presented.

KW - Inhomogeneous random field

KW - Interpolation

KW - Stochastic modelling

KW - Western Siberia

KW - Wind chill index

UR - http://www.scopus.com/inward/record.url?scp=85100504106&partnerID=8YFLogxK

U2 - 10.1515/rnam-2021-0003

DO - 10.1515/rnam-2021-0003

M3 - Article

AN - SCOPUS:85100504106

VL - 36

SP - 33

EP - 42

JO - Russian Journal of Numerical Analysis and Mathematical Modelling

JF - Russian Journal of Numerical Analysis and Mathematical Modelling

SN - 0927-6467

IS - 1

ER -

ID: 27707456