A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery
The presence of sea ice leads in the sea ice cover represents a key feature in polar regions by controlling the heat exchange between the relatively warm ocean and cold atmosphere due to increased fluxes of turbulent sensible and latent heat. Sea ice leads contribute to the sea ice production and ar...
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Online Access: | https://oceanrep.geomar.de/id/eprint/51342/ https://oceanrep.geomar.de/id/eprint/51342/1/Reiser%20et%20al.pdf https://doi.org/10.3390/rs12121957 |
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ftoceanrep:oai:oceanrep.geomar.de:51342 2023-05-15T14:12:31+02:00 A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery Reiser, Fabian Willmes, Sascha Heinemann, Günther 2020-06-17 text https://oceanrep.geomar.de/id/eprint/51342/ https://oceanrep.geomar.de/id/eprint/51342/1/Reiser%20et%20al.pdf https://doi.org/10.3390/rs12121957 en eng MDPI https://oceanrep.geomar.de/id/eprint/51342/1/Reiser%20et%20al.pdf Reiser, F., Willmes, S. and Heinemann, G. (2020) A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery. Open Access Remote Sensing, 12 (12). Art.Nr. 1957. DOI 10.3390/rs12121957 <https://doi.org/10.3390/rs12121957>. doi:10.3390/rs12121957 cc_by_4.0 info:eu-repo/semantics/openAccess Article PeerReviewed 2020 ftoceanrep https://doi.org/10.3390/rs12121957 2023-04-07T15:53:32Z The presence of sea ice leads in the sea ice cover represents a key feature in polar regions by controlling the heat exchange between the relatively warm ocean and cold atmosphere due to increased fluxes of turbulent sensible and latent heat. Sea ice leads contribute to the sea ice production and are sources for the formation of dense water which affects the ocean circulation. Atmospheric and ocean models strongly rely on observational data to describe the respective state of the sea ice since numerical models are not able to produce sea ice leads explicitly. For the Arctic, some lead datasets are available, but for the Antarctic, no such data yet exist. Our study presents a new algorithm with which leads are automatically identified in satellite thermal infrared images. A variety of lead metrics is used to distinguish between true leads and detection artefacts with the use of fuzzy logic. We evaluate the outputs and provide pixel-wise uncertainties. Our data yield daily sea ice lead maps at a resolution of 1 km2 for the winter months November– April 2002/03–2018/19 (Arctic) and April–September 2003–2019 (Antarctic), respectively. The long-term average of the lead frequency distributions show distinct features related to bathymetric structures in both hemispheres Article in Journal/Newspaper Antarc* Antarctic Arctic Arctic Sea ice OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Antarctic Arctic The Antarctic Remote Sensing 12 12 1957 |
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Open Polar |
collection |
OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
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ftoceanrep |
language |
English |
description |
The presence of sea ice leads in the sea ice cover represents a key feature in polar regions by controlling the heat exchange between the relatively warm ocean and cold atmosphere due to increased fluxes of turbulent sensible and latent heat. Sea ice leads contribute to the sea ice production and are sources for the formation of dense water which affects the ocean circulation. Atmospheric and ocean models strongly rely on observational data to describe the respective state of the sea ice since numerical models are not able to produce sea ice leads explicitly. For the Arctic, some lead datasets are available, but for the Antarctic, no such data yet exist. Our study presents a new algorithm with which leads are automatically identified in satellite thermal infrared images. A variety of lead metrics is used to distinguish between true leads and detection artefacts with the use of fuzzy logic. We evaluate the outputs and provide pixel-wise uncertainties. Our data yield daily sea ice lead maps at a resolution of 1 km2 for the winter months November– April 2002/03–2018/19 (Arctic) and April–September 2003–2019 (Antarctic), respectively. The long-term average of the lead frequency distributions show distinct features related to bathymetric structures in both hemispheres |
format |
Article in Journal/Newspaper |
author |
Reiser, Fabian Willmes, Sascha Heinemann, Günther |
spellingShingle |
Reiser, Fabian Willmes, Sascha Heinemann, Günther A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery |
author_facet |
Reiser, Fabian Willmes, Sascha Heinemann, Günther |
author_sort |
Reiser, Fabian |
title |
A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery |
title_short |
A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery |
title_full |
A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery |
title_fullStr |
A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery |
title_full_unstemmed |
A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery |
title_sort |
new algorithm for daily sea ice lead identification in the arctic and antarctic winter from thermal-infrared satellite imagery |
publisher |
MDPI |
publishDate |
2020 |
url |
https://oceanrep.geomar.de/id/eprint/51342/ https://oceanrep.geomar.de/id/eprint/51342/1/Reiser%20et%20al.pdf https://doi.org/10.3390/rs12121957 |
geographic |
Antarctic Arctic The Antarctic |
geographic_facet |
Antarctic Arctic The Antarctic |
genre |
Antarc* Antarctic Arctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Arctic Sea ice |
op_relation |
https://oceanrep.geomar.de/id/eprint/51342/1/Reiser%20et%20al.pdf Reiser, F., Willmes, S. and Heinemann, G. (2020) A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery. Open Access Remote Sensing, 12 (12). Art.Nr. 1957. DOI 10.3390/rs12121957 <https://doi.org/10.3390/rs12121957>. doi:10.3390/rs12121957 |
op_rights |
cc_by_4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/rs12121957 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
12 |
container_start_page |
1957 |
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1766284851810402304 |