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30 November 2017 Patterns and stochastic models of the annual precipitation variability in Siberia
A. V. Ignatov, O. P. Osipova, A. S. Balybina
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Proceedings Volume 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 1046653 (2017) https://doi.org/10.1117/12.2285015
Event: XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2017, Irkutsk, Russian Federation
Abstract
The statistical relationships between annual precipitation data from the meteorological stations of Siberia and a number of variables characterizing the state of the Earth’s atmosphere and hydrosphere and the near-space was analyzed. It was shown that the significance estimation does not guarantee the reliability of the final simulation result when testing a variety of hypotheses. The relationships steady in time and significant according to the Fisher’s criteria have been found to occur mainly between the precipitation sums. A frequency analysis of the predictors’ occurrence leads to the conclusion that the most likely factors of interannual variability of annual precipitation are atmospheric circulation features and ocean surface temperatures.
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A. V. Ignatov, O. P. Osipova, and A. S. Balybina "Patterns and stochastic models of the annual precipitation variability in Siberia", Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1046653 (30 November 2017); https://doi.org/10.1117/12.2285015
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KEYWORDS
Statistical modeling
Stochastic processes
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