A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images

Using Copernicus Sentinel-2 images we derive a statistical lead-width distribution for the Weddell Sea. While previous work focused on the Arctic, this is the first lead-width distribution for Antarctic sea ice. Previous studies suggest that the lead-width distribution follows a power law with a pos...

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Published in:The Cryosphere
Main Authors: M. Muchow, A. U. Schmitt, L. Kaleschke
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2021
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-15-4527-2021
https://tc.copernicus.org/articles/15/4527/2021/tc-15-4527-2021.pdf
https://doaj.org/article/34b7e9c996d847e48d040d32a61a4858
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:34b7e9c996d847e48d040d32a61a4858 2023-05-15T13:36:22+02:00 A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images M. Muchow A. U. Schmitt L. Kaleschke 2021-09-01 https://doi.org/10.5194/tc-15-4527-2021 https://tc.copernicus.org/articles/15/4527/2021/tc-15-4527-2021.pdf https://doaj.org/article/34b7e9c996d847e48d040d32a61a4858 en eng Copernicus Publications doi:10.5194/tc-15-4527-2021 1994-0416 1994-0424 https://tc.copernicus.org/articles/15/4527/2021/tc-15-4527-2021.pdf https://doaj.org/article/34b7e9c996d847e48d040d32a61a4858 undefined The Cryosphere, Vol 15, Pp 4527-4537 (2021) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2021 fttriple https://doi.org/10.5194/tc-15-4527-2021 2023-01-22T19:33:27Z Using Copernicus Sentinel-2 images we derive a statistical lead-width distribution for the Weddell Sea. While previous work focused on the Arctic, this is the first lead-width distribution for Antarctic sea ice. Previous studies suggest that the lead-width distribution follows a power law with a positive exponent; however their results for the power-law exponents are not all in agreement with each other. To detect leads we create a sea-ice surface-type classification based on 20 carefully selected cloud-free Sentinel-2 Level-1C products, which have a resolution of 10 m. The observed time period is from November 2016 until February 2018, covering only the months from November to April. We apply two different fitting methods to the measured lead widths. The first fitting method is a linear fit, while the second method is based on a maximum likelihood approach. Here, we use both methods for the same lead-width data set to observe differences in the calculated power-law exponent. To further investigate influences on the power-law exponent, we define two different thresholds: one for open-water-covered leads and one for open-water-covered and nilas-covered leads. The influence of the lead threshold on the exponent is larger for the linear fit than for the method based on the maximum likelihood approach. We show that the exponent of the lead-width distribution ranges between 1.110 and 1.413 depending on the applied fitting method and lead threshold. This exponent for the Weddell Sea sea ice is smaller than the previously observed exponents for the Arctic sea ice. Article in Journal/Newspaper Antarc* Antarctic Arctic Sea ice The Cryosphere Weddell Sea Unknown Antarctic Arctic Weddell Weddell Sea The Cryosphere 15 9 4527 4537
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
M. Muchow
A. U. Schmitt
L. Kaleschke
A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images
topic_facet geo
envir
description Using Copernicus Sentinel-2 images we derive a statistical lead-width distribution for the Weddell Sea. While previous work focused on the Arctic, this is the first lead-width distribution for Antarctic sea ice. Previous studies suggest that the lead-width distribution follows a power law with a positive exponent; however their results for the power-law exponents are not all in agreement with each other. To detect leads we create a sea-ice surface-type classification based on 20 carefully selected cloud-free Sentinel-2 Level-1C products, which have a resolution of 10 m. The observed time period is from November 2016 until February 2018, covering only the months from November to April. We apply two different fitting methods to the measured lead widths. The first fitting method is a linear fit, while the second method is based on a maximum likelihood approach. Here, we use both methods for the same lead-width data set to observe differences in the calculated power-law exponent. To further investigate influences on the power-law exponent, we define two different thresholds: one for open-water-covered leads and one for open-water-covered and nilas-covered leads. The influence of the lead threshold on the exponent is larger for the linear fit than for the method based on the maximum likelihood approach. We show that the exponent of the lead-width distribution ranges between 1.110 and 1.413 depending on the applied fitting method and lead threshold. This exponent for the Weddell Sea sea ice is smaller than the previously observed exponents for the Arctic sea ice.
format Article in Journal/Newspaper
author M. Muchow
A. U. Schmitt
L. Kaleschke
author_facet M. Muchow
A. U. Schmitt
L. Kaleschke
author_sort M. Muchow
title A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images
title_short A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images
title_full A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images
title_fullStr A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images
title_full_unstemmed A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images
title_sort lead-width distribution for antarctic sea ice: a case study for the weddell sea with high-resolution sentinel-2 images
publisher Copernicus Publications
publishDate 2021
url https://doi.org/10.5194/tc-15-4527-2021
https://tc.copernicus.org/articles/15/4527/2021/tc-15-4527-2021.pdf
https://doaj.org/article/34b7e9c996d847e48d040d32a61a4858
geographic Antarctic
Arctic
Weddell
Weddell Sea
geographic_facet Antarctic
Arctic
Weddell
Weddell Sea
genre Antarc*
Antarctic
Arctic
Sea ice
The Cryosphere
Weddell Sea
genre_facet Antarc*
Antarctic
Arctic
Sea ice
The Cryosphere
Weddell Sea
op_source The Cryosphere, Vol 15, Pp 4527-4537 (2021)
op_relation doi:10.5194/tc-15-4527-2021
1994-0416
1994-0424
https://tc.copernicus.org/articles/15/4527/2021/tc-15-4527-2021.pdf
https://doaj.org/article/34b7e9c996d847e48d040d32a61a4858
op_rights undefined
op_doi https://doi.org/10.5194/tc-15-4527-2021
container_title The Cryosphere
container_volume 15
container_issue 9
container_start_page 4527
op_container_end_page 4537
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