Numerical Simulation of the Time Series of Bioclimatic Indices in the Russian Arctic Based on a Stochastic Weather Generator

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Numerical Simulation of the Time Series of Bioclimatic Indices in the Russian Arctic Based on a Stochastic Weather Generator. / Akenteva, M. S.; Kargapolova, N. A.

In: Russian Meteorology and Hydrology, Vol. 49, No. 3, 03.2024, p. 230-239.

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

BibTeX

@article{7910828948814414bf9e38b1c33f0039,

title = "Numerical Simulation of the Time Series of Bioclimatic Indices in the Russian Arctic Based on a Stochastic Weather Generator",

abstract = "The paper proposes an approach to the numerical stochastic modeling of the time series of the wind chill index and equivalent effective temperature at weather stations located in the Arctic zone of the Russian Federation. The approach is based on the use of a specially designed stochastic weather generator. It is shown that the approach allows developing the models of the time series of bioclimatic indices that very accurately reproduce various statistical properties of real processes related, in particular, to their daily variations and specific features of the study area.",

keywords = "Arctic zone of the Russian Federation, equivalent effective temperature, non-Gaussian random process, stochastic modeling, stochastic weather generator, wind chill index",

author = "Akenteva, {M. S.} and Kargapolova, {N. A.}",

note = "The research was supported by the Russian Science Foundation (grant 21-71-00007).",

year = "2024",

month = mar,

doi = "10.3103/S1068373924030063",

language = "English",

volume = "49",

pages = "230--239",

journal = "Russian Meteorology and Hydrology",

issn = "1068-3739",

publisher = "PLEIADES PUBLISHING INC",

number = "3",

}

RIS

TY - JOUR

T1 - Numerical Simulation of the Time Series of Bioclimatic Indices in the Russian Arctic Based on a Stochastic Weather Generator

AU - Akenteva, M. S.

AU - Kargapolova, N. A.

N1 - The research was supported by the Russian Science Foundation (grant 21-71-00007).

PY - 2024/3

Y1 - 2024/3

N2 - The paper proposes an approach to the numerical stochastic modeling of the time series of the wind chill index and equivalent effective temperature at weather stations located in the Arctic zone of the Russian Federation. The approach is based on the use of a specially designed stochastic weather generator. It is shown that the approach allows developing the models of the time series of bioclimatic indices that very accurately reproduce various statistical properties of real processes related, in particular, to their daily variations and specific features of the study area.

AB - The paper proposes an approach to the numerical stochastic modeling of the time series of the wind chill index and equivalent effective temperature at weather stations located in the Arctic zone of the Russian Federation. The approach is based on the use of a specially designed stochastic weather generator. It is shown that the approach allows developing the models of the time series of bioclimatic indices that very accurately reproduce various statistical properties of real processes related, in particular, to their daily variations and specific features of the study area.

KW - Arctic zone of the Russian Federation

KW - equivalent effective temperature

KW - non-Gaussian random process

KW - stochastic modeling

KW - stochastic weather generator

KW - wind chill index

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85194894744&origin=inward&txGid=a01ed3ceec2537a5934dd494434ba8e4

UR - https://www.mendeley.com/catalogue/a97bad2e-d03f-3b9c-b965-012a4b6790be/

U2 - 10.3103/S1068373924030063

DO - 10.3103/S1068373924030063

M3 - Article

VL - 49

SP - 230

EP - 239

JO - Russian Meteorology and Hydrology

JF - Russian Meteorology and Hydrology

SN - 1068-3739

IS - 3

ER -

ID: 61123864