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Development of a Stochastic Weather Generator for Simulating Meteorological Time Series in the Arctic Zone of the Russian Federation

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Abstract

A stochastic weather generator is proposed in the paper. The model is designed for the numerical simulation of joint time series of surface air temperature, wind speed, and relative air humidity with a three-hour resolution at weather stations located in the Russian Arctic. The proposed weather generator allows taking into account the non-Gaussian form of one-dimensional distributions of meteorological parameters and the diurnal variations inherent to real series. The results of verifying the proposed model are presented, and the prospects of its further application are briefly described.

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Authors and Affiliations

  1. Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, 630090, Novosibirsk, Russia

    M. S. Akenteva & N. A. Kargapolova

  2. Novosibirsk State University, 630090, Novosibirsk, Russia

    N. A. Kargapolova

Authors
  1. M. S. Akenteva
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  2. N. A. Kargapolova
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Correspondence to M. S. Akenteva.

Additional information

Translated from Meteorologiya i Gidrologiya, 2023, No. 7, pp. 82-93. https://doi.org/10.52002/0130-2906-2023-7-82-93.

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Akenteva, M.S., Kargapolova, N.A. Development of a Stochastic Weather Generator for Simulating Meteorological Time Series in the Arctic Zone of the Russian Federation. Russ. Meteorol. Hydrol. 48, 614–623 (2023). https://doi.org/10.3103/S1068373923070087

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  • DOI: https://doi.org/10.3103/S1068373923070087

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