Research of singular spectrum analysis in the processing of meteorological measurings

I. A. Botygin, K. V. Novitskaya, V. A. Tartakovsky, V. S. Sherstnev, A. I. Sherstneva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics
EditorsGennadii G. Matvienko, Oleg A. Romanovskii
PublisherSPIE
ISBN (Electronic)9781510639416
DOIs
Publication statusPublished - 2020
Event26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2020 - Moscow, Russian Federation
Duration: 6 Jul 202010 Jul 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11560
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2020
CountryRussian Federation
CityMoscow
Period6.7.2010.7.20

Keywords

  • Hankel matrix
  • Nonparametric statistics
  • Reconstructed series
  • Singular spectral analysis
  • Trajectory matrix

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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