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...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2020
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs12121957 https://doaj.org/article/e98cd67617374bd1ab3ce8b75625729c |
id |
ftdoajarticles:oai:doaj.org/article:e98cd67617374bd1ab3ce8b75625729c |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:e98cd67617374bd1ab3ce8b75625729c 2023-05-15T13:36:43+02:00 A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery Fabian Reiser Sascha Willmes Günther Heinemann 2020-06-01T00:00:00Z https://doi.org/10.3390/rs12121957 https://doaj.org/article/e98cd67617374bd1ab3ce8b75625729c EN eng MDPI AG https://www.mdpi.com/2072-4292/12/12/1957 https://doaj.org/toc/2072-4292 doi:10.3390/rs12121957 2072-4292 https://doaj.org/article/e98cd67617374bd1ab3ce8b75625729c Remote Sensing, Vol 12, Iss 1957, p 1957 (2020) sea ice leads MODIS Arctic Antarctic polar regions Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12121957 2022-12-31T15:19:43Z 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 km <math display="inline"> <semantics> <msup> <mrow></mrow> <mn>2</mn> </msup> </semantics> </math> 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 Sea ice Directory of Open Access Journals: DOAJ Articles Antarctic Arctic The Antarctic Remote Sensing 12 12 1957 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
sea ice leads MODIS Arctic Antarctic polar regions Science Q |
spellingShingle |
sea ice leads MODIS Arctic Antarctic polar regions Science Q Fabian Reiser Sascha Willmes Günther Heinemann A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery |
topic_facet |
sea ice leads MODIS Arctic Antarctic polar regions Science Q |
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 km <math display="inline"> <semantics> <msup> <mrow></mrow> <mn>2</mn> </msup> </semantics> </math> 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 |
Fabian Reiser Sascha Willmes Günther Heinemann |
author_facet |
Fabian Reiser Sascha Willmes Günther Heinemann |
author_sort |
Fabian Reiser |
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 AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12121957 https://doaj.org/article/e98cd67617374bd1ab3ce8b75625729c |
geographic |
Antarctic Arctic The Antarctic |
geographic_facet |
Antarctic Arctic The Antarctic |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_source |
Remote Sensing, Vol 12, Iss 1957, p 1957 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/12/1957 https://doaj.org/toc/2072-4292 doi:10.3390/rs12121957 2072-4292 https://doaj.org/article/e98cd67617374bd1ab3ce8b75625729c |
op_doi |
https://doi.org/10.3390/rs12121957 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
12 |
container_start_page |
1957 |
_version_ |
1766082866267029504 |