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Numerical Stochastic Models of Meteorological Processes and Fields

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Topics in Statistical Simulation

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 114))

Abstract

Numerical stochastic models of scalar and vector time-series, spatial and spatial-time random fields based on real data are widely used for solution of different problems in science and technology. As examples it is possible to refer to problems in atmospheric optics related to solar radiation scattering in clouds [13], to oceanologic problems related to rhythmic of oceanologic processes [2] and analysis of undulating surface (especially when freak waves appear) [14]. In statistical meteorology such models are used for study of extreme events (such as long-term frosts or drought), sudden drops of meteorological parameters or their unfavorable combinations [4, 10], for study of meteorological parameters’ dynamic influence to natural and technical objects and processes, for prediction of forest fires and so on.

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Acknowledgements

This work was supported by the Russian Foundation for Basic Research (grants 12-01-00727-a, 12-05-00169-a).

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Authors and Affiliations

  1. Institute of Computational Mathematics and Mathematical Geophysics SB RAS, prospect Akademika Lavrentjeva, 6, Novosibirsk, 630090, Russia

    Vasily Ogorodnikov, Nina Kargapolova & Olga Sereseva

  2. Novosibirsk State Univesity, Pirogova, 2, Novosibirsk, 630090, Russia

    Vasily Ogorodnikov & Nina Kargapolova

Authors
  1. Vasily Ogorodnikov
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  2. Nina Kargapolova
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  3. Olga Sereseva
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Corresponding author

Correspondence to Vasily Ogorodnikov .

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Editors and Affiliations

  1. St.Petersburg State University, St.Petersburg, Russia

    V.B. Melas

  2. University of Bologna, Rimini, Italy

    Stefania Mignani

  3. University of Bologna, Rimini, Italy

    Paola Monari

  4. University of Padova, Padova, Italy

    Luigi Salmaso

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Ogorodnikov, V., Kargapolova, N., Sereseva, O. (2014). Numerical Stochastic Models of Meteorological Processes and Fields. In: Melas, V., Mignani, S., Monari, P., Salmaso, L. (eds) Topics in Statistical Simulation. Springer Proceedings in Mathematics & Statistics, vol 114. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2104-1_40

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