Interannual variability of ice cover in the Caspian Sea

Satellite remote sensing data (SAR and Ocean Color), MERRA-2 reanalysis and records at Astrakhan meteorological station were used to investigate interannual variability of ice cover characteristics in the North Caspian Sea for 23 winter seasons (November 1 – April 15) from 1999/2000 to 2021/2022. Th...

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Published in:Journal of Hydrology X
Main Authors: Olga Yu. Lavrova, Anna I. Ginzburg, Andrey G. Kostianoy, Tatiana Yu. Bocharova
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2022
Subjects:
SAR
geo
Online Access:https://doi.org/10.1016/j.hydroa.2022.100145
https://doaj.org/article/8213bb232b48406184afc08d71ceee17
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:8213bb232b48406184afc08d71ceee17 2023-05-15T18:18:56+02:00 Interannual variability of ice cover in the Caspian Sea Olga Yu. Lavrova Anna I. Ginzburg Andrey G. Kostianoy Tatiana Yu. Bocharova 2022-12-01 https://doi.org/10.1016/j.hydroa.2022.100145 https://doaj.org/article/8213bb232b48406184afc08d71ceee17 en eng Elsevier 2589-9155 doi:10.1016/j.hydroa.2022.100145 https://doaj.org/article/8213bb232b48406184afc08d71ceee17 undefined Journal of Hydrology X, Vol 17, Iss , Pp 100145- (2022) North Caspian Sea Ice cover Ice cover area Ice cover duration SAR Ocean Color data geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2022 fttriple https://doi.org/10.1016/j.hydroa.2022.100145 2023-01-22T18:58:22Z Satellite remote sensing data (SAR and Ocean Color), MERRA-2 reanalysis and records at Astrakhan meteorological station were used to investigate interannual variability of ice cover characteristics in the North Caspian Sea for 23 winter seasons (November 1 – April 15) from 1999/2000 to 2021/2022. The maximum annual ice cover area, ice freeze onset and melt dates and ice cover duration were determined from satellite remote sensing data, mostly SAR instruments on board the European Space Agency’s satellites, ranging from ERS-2 to the Sentinel-1A, -1B tandem. We propose a new band combination for Sentinel-2 MSI and Landsat-8 OLI that allows better distinguishing ice cover from clouds or land than the standard RGB composites. In the absence of SAR data, this method was used to estimate the above mentioned parameters with high spatial and temporal resolution. To assess the severity of winters, the criterion on the basis of the sum of freezing degree-days (SFDD) was applied. For this purpose, we used values of daily minimum air temperature over the North Caspian (44.46°–47.14°N, 46.70–52.90°E), daily mean and daily minimum ones over its coldest eastern part (with the western border at 50°E), obtained from the MERRA-2 reanalysis, as well as data from the meteorological station in Astrakhan (46.35°N, 48.07°E). The resulting SFDD sequences show that until the winter of 2011/2012, there was a cooling trend on average (with noticeable interannual variability), whereas after that winter it changed to warming for Astrakhan and virtually disappeared for the North Caspian and its eastern part. A noticeable interannual variability is also shown by the maximum ice area and the duration of the ice period, both parameters with maximums in the winter of 2011/2012. We discuss in detail the correspondence between the SFDD and ice cover characteristics variations, as well as previously published results. In agreement with the other authors, we find that in the 21st century, compared to the 20th century, the number of very severe and ... Article in Journal/Newspaper Sea ice Unknown Merra ENVELOPE(12.615,12.615,65.816,65.816) The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Journal of Hydrology X 17 100145
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic North Caspian Sea
Ice cover
Ice cover area
Ice cover duration
SAR
Ocean Color data
geo
envir
spellingShingle North Caspian Sea
Ice cover
Ice cover area
Ice cover duration
SAR
Ocean Color data
geo
envir
Olga Yu. Lavrova
Anna I. Ginzburg
Andrey G. Kostianoy
Tatiana Yu. Bocharova
Interannual variability of ice cover in the Caspian Sea
topic_facet North Caspian Sea
Ice cover
Ice cover area
Ice cover duration
SAR
Ocean Color data
geo
envir
description Satellite remote sensing data (SAR and Ocean Color), MERRA-2 reanalysis and records at Astrakhan meteorological station were used to investigate interannual variability of ice cover characteristics in the North Caspian Sea for 23 winter seasons (November 1 – April 15) from 1999/2000 to 2021/2022. The maximum annual ice cover area, ice freeze onset and melt dates and ice cover duration were determined from satellite remote sensing data, mostly SAR instruments on board the European Space Agency’s satellites, ranging from ERS-2 to the Sentinel-1A, -1B tandem. We propose a new band combination for Sentinel-2 MSI and Landsat-8 OLI that allows better distinguishing ice cover from clouds or land than the standard RGB composites. In the absence of SAR data, this method was used to estimate the above mentioned parameters with high spatial and temporal resolution. To assess the severity of winters, the criterion on the basis of the sum of freezing degree-days (SFDD) was applied. For this purpose, we used values of daily minimum air temperature over the North Caspian (44.46°–47.14°N, 46.70–52.90°E), daily mean and daily minimum ones over its coldest eastern part (with the western border at 50°E), obtained from the MERRA-2 reanalysis, as well as data from the meteorological station in Astrakhan (46.35°N, 48.07°E). The resulting SFDD sequences show that until the winter of 2011/2012, there was a cooling trend on average (with noticeable interannual variability), whereas after that winter it changed to warming for Astrakhan and virtually disappeared for the North Caspian and its eastern part. A noticeable interannual variability is also shown by the maximum ice area and the duration of the ice period, both parameters with maximums in the winter of 2011/2012. We discuss in detail the correspondence between the SFDD and ice cover characteristics variations, as well as previously published results. In agreement with the other authors, we find that in the 21st century, compared to the 20th century, the number of very severe and ...
format Article in Journal/Newspaper
author Olga Yu. Lavrova
Anna I. Ginzburg
Andrey G. Kostianoy
Tatiana Yu. Bocharova
author_facet Olga Yu. Lavrova
Anna I. Ginzburg
Andrey G. Kostianoy
Tatiana Yu. Bocharova
author_sort Olga Yu. Lavrova
title Interannual variability of ice cover in the Caspian Sea
title_short Interannual variability of ice cover in the Caspian Sea
title_full Interannual variability of ice cover in the Caspian Sea
title_fullStr Interannual variability of ice cover in the Caspian Sea
title_full_unstemmed Interannual variability of ice cover in the Caspian Sea
title_sort interannual variability of ice cover in the caspian sea
publisher Elsevier
publishDate 2022
url https://doi.org/10.1016/j.hydroa.2022.100145
https://doaj.org/article/8213bb232b48406184afc08d71ceee17
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
ENVELOPE(73.317,73.317,-52.983,-52.983)
geographic Merra
The Sentinel
geographic_facet Merra
The Sentinel
genre Sea ice
genre_facet Sea ice
op_source Journal of Hydrology X, Vol 17, Iss , Pp 100145- (2022)
op_relation 2589-9155
doi:10.1016/j.hydroa.2022.100145
https://doaj.org/article/8213bb232b48406184afc08d71ceee17
op_rights undefined
op_doi https://doi.org/10.1016/j.hydroa.2022.100145
container_title Journal of Hydrology X
container_volume 17
container_start_page 100145
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