Paper
13 December 2018 Classification of climate in the northern hemisphere by the envelope of temperature signals
Yury V. Volkov, Valery A. Tartakovsky, Natalia N. Cheredko, Mikhail M. Kabanov, Sergey N. Kapustin
Author Affiliations +
Proceedings Volume 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 108338Z (2018) https://doi.org/10.1117/12.2505454
Event: XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2018, Tomsk, Russian Federation
Abstract
The authors developed the algorithm based on analytic signal theory, allowing grouping geophysical signals over various spatial and temporal scales. Surface temperature was selected as an integrated indicator of climate change. Algorithm can distinguish the climatic structures where multi-year temperature oscillations are congruent. To accomplish that, the information on temperature series amplitude temporal changes was used. Computing technology developed was applied to the data from 818 northern hemisphere meteorological stations over the period of 1955-2010. The classification for three correlation thresholds was obtained. Distinguished structures have strict geographical differentiation and defined by the highest synchronism level of temperature oscillations. Stations closest to each other spatially demonstrate the highest strength of relationship to typical class envelope.
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Yury V. Volkov, Valery A. Tartakovsky, Natalia N. Cheredko, Mikhail M. Kabanov, and Sergey N. Kapustin "Classification of climate in the northern hemisphere by the envelope of temperature signals", Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108338Z (13 December 2018); https://doi.org/10.1117/12.2505454
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KEYWORDS
Climatology

Temperature metrology

Algorithm development

Climate change

Signal analyzers

Analytical research

Detection theory

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