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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Language: | English Ukrainian |
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State Institution National Antarctic Scientific Center
2023
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Online Access: | https://doi.org/10.33275/1727-7485.1.2023.709 https://doaj.org/article/579dcc78d821476aa72e6bbf8c67e8af |
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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 |
_version_ |
1779309683396313088 |