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Stochastic model of spatial fields of the average daily wind chill index. / Kargapolova, Nina.

In: Information (Switzerland), Vol. 11, No. 4, 177, 01.04.2020.

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

Harvard

Kargapolova, N 2020, 'Stochastic model of spatial fields of the average daily wind chill index', Information (Switzerland), vol. 11, no. 4, 177. https://doi.org/10.3390/info11040177

APA

Kargapolova, N. (2020). Stochastic model of spatial fields of the average daily wind chill index. Information (Switzerland), 11(4), [177]. https://doi.org/10.3390/info11040177

Vancouver

Kargapolova N. Stochastic model of spatial fields of the average daily wind chill index. Information (Switzerland). 2020 Apr 1;11(4):177. doi: 10.3390/info11040177

Author

Kargapolova, Nina. / Stochastic model of spatial fields of the average daily wind chill index. In: Information (Switzerland). 2020 ; Vol. 11, No. 4.

BibTeX

@article{4fe45b2e7cc84e998e3a605dd8f3622a,
title = "Stochastic model of spatial fields of the average daily wind chill index",
abstract = "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 = "Non-Gaussian random process, Spatial random field, Stochastic simulation, West Siberia, Wind chill index, stochastic simulation, SIMULATION, TRENDS, non-Gaussian random process, wind chill index, GENERATION, spatial random field, CLIMATE",
author = "Nina Kargapolova",
year = "2020",
month = apr,
day = "1",
doi = "10.3390/info11040177",
language = "English",
volume = "11",
journal = "Information (Switzerland)",
issn = "2078-2489",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "4",

}

RIS

TY - JOUR

T1 - Stochastic model of spatial fields of the average daily wind chill index

AU - Kargapolova, Nina

PY - 2020/4/1

Y1 - 2020/4/1

N2 - 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.

AB - 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.

KW - Non-Gaussian random process

KW - Spatial random field

KW - Stochastic simulation

KW - West Siberia

KW - Wind chill index

KW - stochastic simulation

KW - SIMULATION

KW - TRENDS

KW - non-Gaussian random process

KW - wind chill index

KW - GENERATION

KW - spatial random field

KW - CLIMATE

UR - http://www.scopus.com/inward/record.url?scp=85085114356&partnerID=8YFLogxK

U2 - 10.3390/info11040177

DO - 10.3390/info11040177

M3 - Article

AN - SCOPUS:85085114356

VL - 11

JO - Information (Switzerland)

JF - Information (Switzerland)

SN - 2078-2489

IS - 4

M1 - 177

ER -

ID: 24390985