Stochastic Models of Non-stationary Time Series of the Average Daily Heat Index

Kargapolova, Nina

doi:10.5220/0007788502090215

Cited by 4 publications

(1 citation statement)

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“…The obtained stochastic models may be used both to study the properties of a bioclimatic index and to forecast it. For example, in [11,12] two stochastic models of the bioclimatic index of severity of climatic regime are proposed and in [13][14][15] the same approach was used for the time series of the heat index.…”

Section: Introductionmentioning

confidence: 99%

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

Kargapolova

2020

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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.

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Section: Introductionmentioning

confidence: 99%