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

Author(s):  
Nina A. Kargapolova ◽  
Vasily A. Ogorodnikov

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.

Author(s):  
К.Н. Пустовалов ◽  
В.П. Горбатенко ◽  
П.М. Нагорский ◽  
О.Е. Нечепуренко

Представлены результаты сравнительного анализа пространственно-временной изменчивости конвективной неустойчивости на юге Западной Сибири по данным индексов неустойчивости K-Index и Total Totals, полученных из реанализа ERA5. Показано, что по значениям обоих индексов максимум конвективной неустойчивости над югом Западной Сибири приходится на Кулундинскую равнину и пойму верхнего течения р. Иртыш. Кроме того, высокие значения индексов наблюдаются над юго-востоком Урала и северо-востоком Васюганской равнины. Северная граница со значениями KIQ1 ≥ 30 ◦C и TTQ1 ≥ 50 ◦C, указывающими на вероятность образования гроз 70%, простирается до 62◦ и 61◦ с.ш. соответственно. За период 1990–2019 гг. в динамике среднегодовых значений KIQ1, в целом по территории, преобладает положительный тренд, а в динамике TTQ1 на большей части территории значимые изменения отсутствуют, однако отмечается цикличность с периодом ∼ 10 лет. A comparative analysis of the spatio-temporal variability of convective instability in the south of Western Siberia according to the K-Index and Total Totals index obtained from the ERA5 reanalysis is presented. Related to both indices, the Kulunda plain and the upper Irtysh River floodplain have the highest level of convective instability in the south of Western Siberia. In addition, high index values are observed over the southeastern Urals and the northeastern Vasyugan plain. The northern boundary extends to 62◦ and 61◦ N, respectively, with KIQ1 ≥ 30 ◦C and TTQ1 ≥ 50 ◦C, indicating a thunderstorm probability greater than 70%. The dynamics of annual average KIQ1 values for the territory as a whole are dominated by a positive trend for the period 1990–2019, and there are no significant changes in TTQ1 dynamics for most of the territory, but there is cyclicality with a period of ∼ 10 years.


Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 177
Author(s):  
Nina Kargapolova

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.


Author(s):  
Zinaida V. Pushina ◽  
Galina V. Stepanova ◽  
Ekaterina L. Grundan

Zoya Ilyinichna Glezer is the largest Russian micropaleontologist, a specialist in siliceous microfossils — Cenozoic diatoms and silicoflagellates. Since the 1960s, she systematically studied Paleogene siliceous microfossils from various regions of the country and therefore was an indispensable participant in the development of unified stratigraphic schemes for Paleogene siliceous plankton of various regions of the USSR. She made a great contribution to the creation of the newest Paleogene schemes in the south of European Russia and Western Siberia, to the correlations of the Paleogene deposits of the Kara Sea.


2020 ◽  
Vol 117 ◽  
pp. 106565
Author(s):  
Roxana Triguero-Ocaña ◽  
Joaquín Vicente ◽  
Pablo Palencia ◽  
Eduardo Laguna ◽  
Pelayo Acevedo

2021 ◽  
Vol 217 ◽  
pp. 103605
Author(s):  
Xianzhi Cao ◽  
Nicolas Flament ◽  
Sanzhong Li ◽  
R. Dietmar Müller

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