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Proceedings Paper

Probability density functions for anomalies of surface air temperature in North Eurasian regions: bimodal (polymodal) features in transitional seasons
Author(s): Maria R. Parfenova; Igor I. Mokhov
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Paper Abstract

Bimodal (polymodal) features of the probability density functions for surface air temperature anomalies in transitional seasons are analyzed based on daily data from meteorological observations in the North Eurasian regions. Changes during last decades are estimated.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 112088I (18 December 2019);
Show Author Affiliations
Maria R. Parfenova, A.M. Obukhov Institute of Atmospheric Physics (Russian Federation)
Igor I. Mokhov, A.M. Obukhov Institute of Atmospheric Physics (Russian Federation)
Lomonosov Moscow State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 11208:
25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Oleg A. Romanovskii; Gennadii G. Matvienko, Editor(s)

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