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: Muchow, Marek, Schmitt, Amelie U., Kaleschke, Lars
Format: Text
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.5194/tc-15-4527-2021
https://tc.copernicus.org/articles/15/4527/2021/
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spelling ftcopernicus:oai:publications.copernicus.org:tc88183 2023-05-15T14:02:17+02:00 A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images Muchow, Marek Schmitt, Amelie U. Kaleschke, Lars 2021-09-28 application/pdf https://doi.org/10.5194/tc-15-4527-2021 https://tc.copernicus.org/articles/15/4527/2021/ eng eng doi:10.5194/tc-15-4527-2021 https://tc.copernicus.org/articles/15/4527/2021/ eISSN: 1994-0424 Text 2021 ftcopernicus https://doi.org/10.5194/tc-15-4527-2021 2021-10-04T16:22:28Z 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. Text Antarc* Antarctic Arctic Sea ice Weddell Sea Copernicus Publications: E-Journals Antarctic Arctic Weddell Weddell Sea The Cryosphere 15 9 4527 4537
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
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 Text
author Muchow, Marek
Schmitt, Amelie U.
Kaleschke, Lars
spellingShingle Muchow, Marek
Schmitt, Amelie U.
Kaleschke, Lars
A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images
author_facet Muchow, Marek
Schmitt, Amelie U.
Kaleschke, Lars
author_sort Muchow, Marek
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
publishDate 2021
url https://doi.org/10.5194/tc-15-4527-2021
https://tc.copernicus.org/articles/15/4527/2021/
geographic Antarctic
Arctic
Weddell
Weddell Sea
geographic_facet Antarctic
Arctic
Weddell
Weddell Sea
genre Antarc*
Antarctic
Arctic
Sea ice
Weddell Sea
genre_facet Antarc*
Antarctic
Arctic
Sea ice
Weddell Sea
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-15-4527-2021
https://tc.copernicus.org/articles/15/4527/2021/
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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