Empirical orthogonal analysis of temperature and vertical velocity in lake Shira

The empirical orthogonal functions method is widely used for the study of the hydrophysical characteristics in meteorology and oceanography, for example for the analysis of ocean surface currents in the North Carolina and the distribution of horizontal velocities in the Shira Lake. This method is al...

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Published in:SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings, 18th International Multidisciplinary Scientific GeoConference SGEM2018, Water Resources. Forest, Marine and Ocean Ecosystems
Main Authors: Volodko, O. S., Kompaniets, L. A., Gavrilova, L.
Other Authors: Институт управления бизнес-процессами и экономики, Кафедра бизнес-информатики
Format: Article in Journal/Newspaper
Language:unknown
Published: 2018
Subjects:
Online Access:https://www2.scopus.com
http://elib.sfu-kras.ru/handle/2311/128453
https://doi.org/10.5593/sgem2018/3.1/S12.033
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spelling ftsiberianfuniv:oai:elib.sfu-kras.ru:2311/128453 2023-05-15T17:34:53+02:00 Empirical orthogonal analysis of temperature and vertical velocity in lake Shira Volodko, O. S. Kompaniets, L. A. Gavrilova, L. Институт управления бизнес-процессами и экономики Кафедра бизнес-информатики 2018 https://www2.scopus.com http://elib.sfu-kras.ru/handle/2311/128453 https://doi.org/10.5593/sgem2018/3.1/S12.033 unknown International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM Volodko, O. S. Empirical orthogonal analysis of temperature and vertical velocity in lake Shira [Текст] / O. S. Volodko, L. A. Kompaniets, L. Gavrilova // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM: 18th International Multidisciplinary Scientific Geoconference, SGEM 2018. — 2018. — Т. 18 (№ 3.1). — С. 251-258 https://www2.scopus.com http://elib.sfu-kras.ru/handle/2311/128453 doi:10.5593/sgem2018/3.1/S12.033 empirical orthogonal analysis temperature distribution velocity profile 37.27 Journal Article Journal Article Preprint 2018 ftsiberianfuniv https://doi.org/10.5593/sgem2018/3.1/S12.033 2020-01-21T00:52:12Z The empirical orthogonal functions method is widely used for the study of the hydrophysical characteristics in meteorology and oceanography, for example for the analysis of ocean surface currents in the North Carolina and the distribution of horizontal velocities in the Shira Lake. This method is also applied to study the distribution temperatures with depth in the Pacific Ocean and to analyze sea surface temperature in the Western North Atlantic. The empirical orthogonal functions method gives us an optimal modal decomposition of the data and allows us to identify particular modes with relevant physical processors. The empirical orthogonal functions analysis used in this study was performed to measure temperature and vertical velocity in Lake Shira (Southern Siberia, Russia) in the summer of 2014 and 2015. The measurements of currents were recorded using Acoustic Doppler Current Profilers 600 kHz and 1200 kHz at two points. The measurements of temperature were recorded by termistor sensors distributing with depth at ten locations. The first and second empirical orthogonal modes for temperature account for 70-90 % of the total energy. They were used to identify the periods of summer heating and the location of the thermocline. The first mode for surface temperature accounts for about 96 % of the total energy and corresponds to surface temperature gradients. The first mode for vertical velocities accounts for about 10 % of the total energy and the analysis of the corresponding modal coefficient makes it possible to determine the periods when water moves up or down vertically. Article in Journal/Newspaper North Atlantic Siberia Siberian Federal University: Archiv Elektronnych SFU Pacific SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings, 18th International Multidisciplinary Scientific GeoConference SGEM2018, Water Resources. Forest, Marine and Ocean Ecosystems 18
institution Open Polar
collection Siberian Federal University: Archiv Elektronnych SFU
op_collection_id ftsiberianfuniv
language unknown
topic empirical orthogonal analysis
temperature distribution
velocity profile
37.27
spellingShingle empirical orthogonal analysis
temperature distribution
velocity profile
37.27
Volodko, O. S.
Kompaniets, L. A.
Gavrilova, L.
Empirical orthogonal analysis of temperature and vertical velocity in lake Shira
topic_facet empirical orthogonal analysis
temperature distribution
velocity profile
37.27
description The empirical orthogonal functions method is widely used for the study of the hydrophysical characteristics in meteorology and oceanography, for example for the analysis of ocean surface currents in the North Carolina and the distribution of horizontal velocities in the Shira Lake. This method is also applied to study the distribution temperatures with depth in the Pacific Ocean and to analyze sea surface temperature in the Western North Atlantic. The empirical orthogonal functions method gives us an optimal modal decomposition of the data and allows us to identify particular modes with relevant physical processors. The empirical orthogonal functions analysis used in this study was performed to measure temperature and vertical velocity in Lake Shira (Southern Siberia, Russia) in the summer of 2014 and 2015. The measurements of currents were recorded using Acoustic Doppler Current Profilers 600 kHz and 1200 kHz at two points. The measurements of temperature were recorded by termistor sensors distributing with depth at ten locations. The first and second empirical orthogonal modes for temperature account for 70-90 % of the total energy. They were used to identify the periods of summer heating and the location of the thermocline. The first mode for surface temperature accounts for about 96 % of the total energy and corresponds to surface temperature gradients. The first mode for vertical velocities accounts for about 10 % of the total energy and the analysis of the corresponding modal coefficient makes it possible to determine the periods when water moves up or down vertically.
author2 Институт управления бизнес-процессами и экономики
Кафедра бизнес-информатики
format Article in Journal/Newspaper
author Volodko, O. S.
Kompaniets, L. A.
Gavrilova, L.
author_facet Volodko, O. S.
Kompaniets, L. A.
Gavrilova, L.
author_sort Volodko, O. S.
title Empirical orthogonal analysis of temperature and vertical velocity in lake Shira
title_short Empirical orthogonal analysis of temperature and vertical velocity in lake Shira
title_full Empirical orthogonal analysis of temperature and vertical velocity in lake Shira
title_fullStr Empirical orthogonal analysis of temperature and vertical velocity in lake Shira
title_full_unstemmed Empirical orthogonal analysis of temperature and vertical velocity in lake Shira
title_sort empirical orthogonal analysis of temperature and vertical velocity in lake shira
publishDate 2018
url https://www2.scopus.com
http://elib.sfu-kras.ru/handle/2311/128453
https://doi.org/10.5593/sgem2018/3.1/S12.033
geographic Pacific
geographic_facet Pacific
genre North Atlantic
Siberia
genre_facet North Atlantic
Siberia
op_relation International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
Volodko, O. S. Empirical orthogonal analysis of temperature and vertical velocity in lake Shira [Текст] / O. S. Volodko, L. A. Kompaniets, L. Gavrilova // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM: 18th International Multidisciplinary Scientific Geoconference, SGEM 2018. — 2018. — Т. 18 (№ 3.1). — С. 251-258
https://www2.scopus.com
http://elib.sfu-kras.ru/handle/2311/128453
doi:10.5593/sgem2018/3.1/S12.033
op_doi https://doi.org/10.5593/sgem2018/3.1/S12.033
container_title SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings, 18th International Multidisciplinary Scientific GeoConference SGEM2018, Water Resources. Forest, Marine and Ocean Ecosystems
container_volume 18
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