Modeling the Trooz Glacier’s movement using air temperature data and satellite SAR observations in 2015‒2022

The aim of this study is modeling the dependence of maximum velocity of the Trooz Glacier (Kyiv Peninsula, West Antarctica) on air temperature. For this purpose, we processed a time series of meteorological observations at the Akademik Vernadsky station and the ice flow velocity of the Trooz Glacier...

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Published in:Ukrainian Antarctic Journal
Main Authors: K. Tretyak, D. Kukhtar
Format: Article in Journal/Newspaper
Language:English
Ukrainian
Published: State Institution National Antarctic Scientific Center 2023
Subjects:
Online Access:https://doi.org/10.33275/1727-7485.1.2023.709
https://doaj.org/article/579dcc78d821476aa72e6bbf8c67e8af
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spelling ftdoajarticles:oai:doaj.org/article:579dcc78d821476aa72e6bbf8c67e8af 2023-10-09T21:47:01+02:00 Modeling the Trooz Glacier’s movement using air temperature data and satellite SAR observations in 2015‒2022 K. Tretyak D. Kukhtar 2023-08-01T00:00:00Z https://doi.org/10.33275/1727-7485.1.2023.709 https://doaj.org/article/579dcc78d821476aa72e6bbf8c67e8af EN UK eng ukr State Institution National Antarctic Scientific Center http://uaj.uac.gov.ua/index.php/uaj/article/view/729 https://doaj.org/toc/1727-7485 https://doaj.org/toc/2415-3087 1727-7485 2415-3087 doi:10.33275/1727-7485.1.2023.709 https://doaj.org/article/579dcc78d821476aa72e6bbf8c67e8af Український антарктичний журнал, Vol 21, Iss 1(26), Pp 24-36 (2023) a posteriori optimization akademik vernadsky station ice flow velocity sar images sentinel-1 Meteorology. Climatology QC851-999 Geophysics. Cosmic physics QC801-809 article 2023 ftdoajarticles https://doi.org/10.33275/1727-7485.1.2023.709 2023-09-17T00:37:36Z The aim of this study is modeling the dependence of maximum velocity of the Trooz Glacier (Kyiv Peninsula, West Antarctica) on air temperature. For this purpose, we processed a time series of meteorological observations at the Akademik Vernadsky station and the ice flow velocity of the Trooz Glacier. The ice velocities were determined from the synthetic aperture radar images, acquired by the Sentinel-1 satellite, for the period from May 2015 to November 2022. The SAR images were processed in the SNAP (Sentinel Application Platform) program using the Offset Tracking method. As a result, 219 ice flow velocity maps were obtained. During the studied period, the maximum velocities varied from 2.64 m/day (August 19, 2015) to 4.05 m/day (April 18, 2020). A functional dependence between the temperature data from the Akademik Vernadsky station and the remotesensing data on the air temperature above the glacier’s surface was established. We combined the three parameters (time series of the maximum velocities of the glacial flow, remote temperature measurements above the glacier, and direct temperature measurements at the Akademik Vernadsky station) in a linear model. In order to increase the accuracy of the modeling, an a posteriori optimization was carried out. As a result, the average error in determining the maximum velocity of the glacier reduced from 23 cm/day to 17 cm/day. Article in Journal/Newspaper Antarc* Antarctica West Antarctica Directory of Open Access Journals: DOAJ Articles West Antarctica The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Vernadsky Station ENVELOPE(-64.257,-64.257,-65.245,-65.245) Akademik Vernadsky Station ENVELOPE(-64.256,-64.256,-65.246,-65.246) Trooz ENVELOPE(-63.983,-63.983,-65.333,-65.333) Trooz Glacier ENVELOPE(-63.767,-63.767,-65.346,-65.346) Ukrainian Antarctic Journal 21 1 24 36
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
Ukrainian
topic a posteriori optimization
akademik vernadsky station
ice flow velocity
sar images
sentinel-1
Meteorology. Climatology
QC851-999
Geophysics. Cosmic physics
QC801-809
spellingShingle a posteriori optimization
akademik vernadsky station
ice flow velocity
sar images
sentinel-1
Meteorology. Climatology
QC851-999
Geophysics. Cosmic physics
QC801-809
K. Tretyak
D. Kukhtar
Modeling the Trooz Glacier’s movement using air temperature data and satellite SAR observations in 2015‒2022
topic_facet a posteriori optimization
akademik vernadsky station
ice flow velocity
sar images
sentinel-1
Meteorology. Climatology
QC851-999
Geophysics. Cosmic physics
QC801-809
description The aim of this study is modeling the dependence of maximum velocity of the Trooz Glacier (Kyiv Peninsula, West Antarctica) on air temperature. For this purpose, we processed a time series of meteorological observations at the Akademik Vernadsky station and the ice flow velocity of the Trooz Glacier. The ice velocities were determined from the synthetic aperture radar images, acquired by the Sentinel-1 satellite, for the period from May 2015 to November 2022. The SAR images were processed in the SNAP (Sentinel Application Platform) program using the Offset Tracking method. As a result, 219 ice flow velocity maps were obtained. During the studied period, the maximum velocities varied from 2.64 m/day (August 19, 2015) to 4.05 m/day (April 18, 2020). A functional dependence between the temperature data from the Akademik Vernadsky station and the remotesensing data on the air temperature above the glacier’s surface was established. We combined the three parameters (time series of the maximum velocities of the glacial flow, remote temperature measurements above the glacier, and direct temperature measurements at the Akademik Vernadsky station) in a linear model. In order to increase the accuracy of the modeling, an a posteriori optimization was carried out. As a result, the average error in determining the maximum velocity of the glacier reduced from 23 cm/day to 17 cm/day.
format Article in Journal/Newspaper
author K. Tretyak
D. Kukhtar
author_facet K. Tretyak
D. Kukhtar
author_sort K. Tretyak
title Modeling the Trooz Glacier’s movement using air temperature data and satellite SAR observations in 2015‒2022
title_short Modeling the Trooz Glacier’s movement using air temperature data and satellite SAR observations in 2015‒2022
title_full Modeling the Trooz Glacier’s movement using air temperature data and satellite SAR observations in 2015‒2022
title_fullStr Modeling the Trooz Glacier’s movement using air temperature data and satellite SAR observations in 2015‒2022
title_full_unstemmed Modeling the Trooz Glacier’s movement using air temperature data and satellite SAR observations in 2015‒2022
title_sort modeling the trooz glacier’s movement using air temperature data and satellite sar observations in 2015‒2022
publisher State Institution National Antarctic Scientific Center
publishDate 2023
url https://doi.org/10.33275/1727-7485.1.2023.709
https://doaj.org/article/579dcc78d821476aa72e6bbf8c67e8af
long_lat ENVELOPE(73.317,73.317,-52.983,-52.983)
ENVELOPE(-64.257,-64.257,-65.245,-65.245)
ENVELOPE(-64.256,-64.256,-65.246,-65.246)
ENVELOPE(-63.983,-63.983,-65.333,-65.333)
ENVELOPE(-63.767,-63.767,-65.346,-65.346)
geographic West Antarctica
The Sentinel
Vernadsky Station
Akademik Vernadsky Station
Trooz
Trooz Glacier
geographic_facet West Antarctica
The Sentinel
Vernadsky Station
Akademik Vernadsky Station
Trooz
Trooz Glacier
genre Antarc*
Antarctica
West Antarctica
genre_facet Antarc*
Antarctica
West Antarctica
op_source Український антарктичний журнал, Vol 21, Iss 1(26), Pp 24-36 (2023)
op_relation http://uaj.uac.gov.ua/index.php/uaj/article/view/729
https://doaj.org/toc/1727-7485
https://doaj.org/toc/2415-3087
1727-7485
2415-3087
doi:10.33275/1727-7485.1.2023.709
https://doaj.org/article/579dcc78d821476aa72e6bbf8c67e8af
op_doi https://doi.org/10.33275/1727-7485.1.2023.709
container_title Ukrainian Antarctic Journal
container_volume 21
container_issue 1
container_start_page 24
op_container_end_page 36
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