Research of singular spectrum analysis in the processing of meteorological measurings; Proceedings of SPIE; Vol. 11560 : Atmospheric and Ocean Optics: Atmospheric Physics

Manylion Llyfryddiaeth
Parent link:Proceedings of SPIE.— .— Bellingham: SPIE
Vol. 11560 : Atmospheric and Ocean Optics: Atmospheric Physics.— 2020.— 1156090, 5 p.
Awduron Eraill: Botygin I. A. Igor Aleksandrovich, Novitskaya K. V., Tartakovsky V. A., Sherstnev V. S. Vladislav Stanislavovich, Sherstneva A. I. Anna Igorevna
Crynodeb: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
Iaith:Saesneg
Cyhoeddwyd: 2020
Pynciau:
Mynediad Ar-lein:https://doi.org/10.1117/12.2576032
Статья на русском языке
Fformat: Electronig Pennod Llyfr
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=679982

MARC

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200 1 |a Research of singular spectrum analysis in the processing of meteorological measurings  |d Исследование возможностей метода SSA при непараметрической статистике метеорологических рядов наблюдений  |f I. A. Botygin, K. V. Novitskaya, V. A. Tartakovsky [et al.]  |z rus 
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330 |a 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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461 1 |0 646891  |9 646891  |t Proceedings of SPIE  |c Bellingham  |n SPIE 
463 1 |t Vol. 11560 : Atmospheric and Ocean Optics: Atmospheric Physics  |o proceedings 26th International Symposium, 29 June-3 July 2020 Moscow, Russian Federation  |f Institute of Atmospheric Optics SB RAS ; eds. G.i G. Matvienko, O. A. Romanovskii  |v 1156090, 5 p.  |d 2020 
610 1 |a nonparametric statistics 
610 1 |a trajectory matrix 
610 1 |a Hankel matrix 
610 1 |a reconstructed series 
610 1 |a singular spectral analysis 
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701 1 |a Botygin  |b I. A.  |c specialist in the field of Informatics and computer engineering  |c Associate Professor of Tomsk Polytechnic University, candidate of technical sciences  |f 1947-  |g Igor Aleksandrovich  |9 17356 
701 1 |a Novitskaya  |b K. V. 
701 1 |a Tartakovsky  |b V. A. 
701 1 |a Sherstnev  |b V. S.  |c specialist in the field of Informatics and computer engineering  |c associate Professor of Tomsk Polytechnic University, candidate of technical Sciences  |f 1974-  |g Vladislav Stanislavovich  |9 17137 
701 1 |a Sherstneva  |b A. I.  |c mathematician  |c associate Professor of Tomsk Polytechnic University, candidate of physico-mathematical Sciences  |f 1974-  |g Anna Igorevna  |9 18721 
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