Research of singular spectrum analysis in the processing of meteorological measurings
| Parent link: | Proceedings of SPIE.— .— Bellingham: SPIE Vol. 11560 : Atmospheric and Ocean Optics: Atmospheric Physics.— 2020.— 1156090, 5 p. |
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| Weitere Verfasser: | , , , , |
| Zusammenfassung: | Title screen 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 Текстовый файл AM_Agreement |
| Sprache: | Englisch |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1117/12.2576032 Статья на русском языке |
| Format: | Elektronisch Buchkapitel |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=679982 |
| Zusammenfassung: | Title screen 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 Текстовый файл AM_Agreement |
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| DOI: | 10.1117/12.2576032 |