Paper
12 November 2020 Research of singular spectrum analysis in the processing of meteorological measurings
Author Affiliations +
Proceedings Volume 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 1156090 (2020) https://doi.org/10.1117/12.2576032
Event: 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2020, Moscow, Russian Federation
Abstract
The results of the study of meteorological series of observations using the methodology of singular spectral analysis are presented. High-frequency measurements of ultrasonic weather stations located at the testing ground of IMKES SO RAS were used as data. The processing of meteorological data included two complementary stages - decomposition and reconstruction. At the decomposition stage, the meteorological series of observations were transformed into a multidimensional series by forming a trajectory matrix and its decomposition into singular vectors - sets of additive components. At the reconstruction stage, various groups of components formed reconstructed rows, interpreted as trend, harmonic and noise components of the meteorological series structure.
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I. A. Botygin, K. V. Novitskaya, V. A. Tartakovsky, V. S. Sherstnev, and A. I. Sherstneva "Research of singular spectrum analysis in the processing of meteorological measurings", Proc. SPIE 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 1156090 (12 November 2020); https://doi.org/10.1117/12.2576032
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KEYWORDS
Environmental sensing

Statistical analysis

Spectrum analysis

Meteorology

Data processing

Ultrasonics

Climatology

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