Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea

Leads with a length on the order of 1000 km occurred in the Beaufort Sea in February 2013. These leads can be observed in Moderate Resolution Imaging Spectroradiometer (MODIS) images under predominantly clear sky conditions. Sea ice concentrations (SIC) derived from the Advanced Microwave Scanning R...

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Published in:Remote Sensing
Main Authors: Alexander Beitsch, Lars Kaleschke, Stefan Kern
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2014
Subjects:
Online Access:https://doi.org/10.3390/rs6053841
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spelling ftmdpi:oai:mdpi.com:/2072-4292/6/5/3841/ 2023-08-20T04:04:51+02:00 Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea Alexander Beitsch Lars Kaleschke Stefan Kern agris 2014-04-29 application/pdf https://doi.org/10.3390/rs6053841 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs6053841 https://creativecommons.org/licenses/by/3.0/ Remote Sensing; Volume 6; Issue 5; Pages: 3841-3856 AMSR2 passive-microwave remote sensing sea ice concentration ARTIST sea ice algorithm Text 2014 ftmdpi https://doi.org/10.3390/rs6053841 2023-07-31T20:37:06Z Leads with a length on the order of 1000 km occurred in the Beaufort Sea in February 2013. These leads can be observed in Moderate Resolution Imaging Spectroradiometer (MODIS) images under predominantly clear sky conditions. Sea ice concentrations (SIC) derived from the Advanced Microwave Scanning Radiometer 2 (AMSR2) using the Bootstrap (BST) algorithm fail to show the lead occurrences, as is visible in the MODIS images. In contrast, SIC derived from AMSR2 using the Arctic Radiation and Turbulence Interaction Study (ARTIST) sea ice algorithm (ASI) reveal the lead structure, due to the higher spatial resolution possible when using 89-GHz channel data. The ASI SIC are calculated from brightness temperatures interpolated on three different grids with resolutions of 3.125 km (ASI-3k), 6.25 km (ASI-6k) and 12.5 km (ASI-12k) to investigate the effect of the spatial resolution. Single-swath data is used to study the effect of temporal sampling in comparison to daily averages. For a region of interest in the Beaufort Sea, BST and ASI-3k show area-averaged SIC of 97%±0.7% and 93%±7.0%, respectively. For ASI-6k, the area-averaged SIC are similar to ASI-3k, while ASI-12k data show more agreement with BST. Visual comparison with MODIS True Color imagery exhibits good agreement with ASI-3k. In particular, ASI-3k are able to reproduce lead structure and size in the sea ice cover, which are not or are less visible in the other SIC data. The results will be valuable for selecting a SIC data product for studies of the interaction between ocean, ice, and atmosphere in the polar regions. Text Arctic Beaufort Sea Sea ice MDPI Open Access Publishing Arctic Remote Sensing 6 5 3841 3856
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic AMSR2
passive-microwave remote sensing
sea ice concentration
ARTIST sea ice algorithm
spellingShingle AMSR2
passive-microwave remote sensing
sea ice concentration
ARTIST sea ice algorithm
Alexander Beitsch
Lars Kaleschke
Stefan Kern
Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea
topic_facet AMSR2
passive-microwave remote sensing
sea ice concentration
ARTIST sea ice algorithm
description Leads with a length on the order of 1000 km occurred in the Beaufort Sea in February 2013. These leads can be observed in Moderate Resolution Imaging Spectroradiometer (MODIS) images under predominantly clear sky conditions. Sea ice concentrations (SIC) derived from the Advanced Microwave Scanning Radiometer 2 (AMSR2) using the Bootstrap (BST) algorithm fail to show the lead occurrences, as is visible in the MODIS images. In contrast, SIC derived from AMSR2 using the Arctic Radiation and Turbulence Interaction Study (ARTIST) sea ice algorithm (ASI) reveal the lead structure, due to the higher spatial resolution possible when using 89-GHz channel data. The ASI SIC are calculated from brightness temperatures interpolated on three different grids with resolutions of 3.125 km (ASI-3k), 6.25 km (ASI-6k) and 12.5 km (ASI-12k) to investigate the effect of the spatial resolution. Single-swath data is used to study the effect of temporal sampling in comparison to daily averages. For a region of interest in the Beaufort Sea, BST and ASI-3k show area-averaged SIC of 97%±0.7% and 93%±7.0%, respectively. For ASI-6k, the area-averaged SIC are similar to ASI-3k, while ASI-12k data show more agreement with BST. Visual comparison with MODIS True Color imagery exhibits good agreement with ASI-3k. In particular, ASI-3k are able to reproduce lead structure and size in the sea ice cover, which are not or are less visible in the other SIC data. The results will be valuable for selecting a SIC data product for studies of the interaction between ocean, ice, and atmosphere in the polar regions.
format Text
author Alexander Beitsch
Lars Kaleschke
Stefan Kern
author_facet Alexander Beitsch
Lars Kaleschke
Stefan Kern
author_sort Alexander Beitsch
title Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea
title_short Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea
title_full Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea
title_fullStr Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea
title_full_unstemmed Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea
title_sort investigating high-resolution amsr2 sea ice concentrations during the february 2013 fracture event in the beaufort sea
publisher Multidisciplinary Digital Publishing Institute
publishDate 2014
url https://doi.org/10.3390/rs6053841
op_coverage agris
geographic Arctic
geographic_facet Arctic
genre Arctic
Beaufort Sea
Sea ice
genre_facet Arctic
Beaufort Sea
Sea ice
op_source Remote Sensing; Volume 6; Issue 5; Pages: 3841-3856
op_relation https://dx.doi.org/10.3390/rs6053841
op_rights https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.3390/rs6053841
container_title Remote Sensing
container_volume 6
container_issue 5
container_start_page 3841
op_container_end_page 3856
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