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Advances in Statistical Climatology, Meteorology and Oceanography An international open-access journal on applied statistics
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Volume 2, issue 1
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 1–16, 2016
https://doi.org/10.5194/ascmo-2-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 1–16, 2016
https://doi.org/10.5194/ascmo-2-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  29 Feb 2016

29 Feb 2016

Comparison of hidden and observed regime-switching autoregressive models for (u, v)-components of wind fields in the northeastern Atlantic

Julie Bessac et al.
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Latest update: 19 Oct 2019
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Short summary
Several multi-site stochastic generators of zonal and meridional components of wind are proposed in this paper. Various questions are explored, such as the modeling of the regime in a multi-site context, the extraction of relevant clusterings from extra variables or from the local wind data, and the link between weather types extracted from wind data and large-scale weather regimes. We also discuss the relative advantages of hidden and observed regime-switching models.
Several multi-site stochastic generators of zonal and meridional components of wind are proposed...
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