TY - JOUR

T1 - Development of a numerical stochastic model of joint spatio-temporal fields of weather parameters for the south part of the Baikal natural territory

AU - Akenteva, Marina S.

AU - Kargapolova, Nina A.

AU - Ogorodnikov, Vasily A.

N1 - The work was supported by the Ministry of Science and Higher Education of the Russian Federation (project No. 075-15-2020-787 for implementation of large scientific project `Fundamentals, methods and technologies for digital monitoring and forecasting of the environmental situation on the Baikal natural territory'). Publisher Copyright: © 2022 Walter de Gruyter GmbH, Berlin/Boston.

PY - 2022/4/1

Y1 - 2022/4/1

N2 - The paper is focused on the construction of a numerical stochastic model of the joint spatio-temporal fields of air temperature, wind speed vector with three-hour resolution, and semidiurnal precipitation amounts according to observation data at a group of weather stations located in the south of the Baikal natural territory. The model also takes into account the dependence of one-dimensional distributions on temporal and spatial coordinates. The heterogeneity of the field in spatial correlations and the periodical correlation in time are also taken into account. The results of calculations for verification of the model are presented. An example of using the developed model to study the properties of time series of the wind chill index is given.

AB - The paper is focused on the construction of a numerical stochastic model of the joint spatio-temporal fields of air temperature, wind speed vector with three-hour resolution, and semidiurnal precipitation amounts according to observation data at a group of weather stations located in the south of the Baikal natural territory. The model also takes into account the dependence of one-dimensional distributions on temporal and spatial coordinates. The heterogeneity of the field in spatial correlations and the periodical correlation in time are also taken into account. The results of calculations for verification of the model are presented. An example of using the developed model to study the properties of time series of the wind chill index is given.

KW - Stochastic simulation

KW - heterogeneous random field

KW - weather parameter

KW - wind chill index

KW - Baikal natural territory

KW - WIND CHILL

UR - http://www.scopus.com/inward/record.url?scp=85128922075&partnerID=8YFLogxK

U2 - 10.1515/rnam-2022-0006

DO - 10.1515/rnam-2022-0006

M3 - Article

VL - 37

SP - 73

EP - 83

JO - Russian Journal of Numerical Analysis and Mathematical Modelling

JF - Russian Journal of Numerical Analysis and Mathematical Modelling

SN - 0927-6467

IS - 2

ER -