Combined cyclone and sea-ice lead data for the Arctic for 2002 to 2020

This dataset provides daily lead maps for the Arctic as well as cyclone occurrence information based on a cyclone tracking algorithm (Akperov et al., 2020), which was applied to 6-hourly ERA5 (Hersbach et al., 2020) sea level pressure fields. The data is available on a daily time scale from 2002 to...

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Main Authors: Aue, Lars, Rinke, Annette, Akperov, Mirseid, Willmes, Sascha
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2024
Subjects:
Sea ice
Online Access:https://doi.org/10.5281/zenodo.10696969
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spelling ftzenodo:oai:zenodo.org:10696969 2024-09-15T18:34:48+00:00 Combined cyclone and sea-ice lead data for the Arctic for 2002 to 2020 Aue, Lars Rinke, Annette Akperov, Mirseid Willmes, Sascha 2024-02-23 https://doi.org/10.5281/zenodo.10696969 unknown Zenodo https://doi.org/10.1594/PANGAEA.955561 https://doi.org/10.5281/zenodo.10696968 https://doi.org/10.5281/zenodo.10696969 oai:zenodo.org:10696969 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2024 ftzenodo https://doi.org/10.5281/zenodo.1069696910.1594/PANGAEA.95556110.5281/zenodo.10696968 2024-07-25T20:49:34Z This dataset provides daily lead maps for the Arctic as well as cyclone occurrence information based on a cyclone tracking algorithm (Akperov et al., 2020), which was applied to 6-hourly ERA5 (Hersbach et al., 2020) sea level pressure fields. The data is available on a daily time scale from 2002 to 2020 (leads only available for the months November to April) and has a horizontal resolution of 12.5 km². The purpose of the dataset is to analyze lead formation in the Arctic sea ice in response to cyclone passages (publication currently in preparation). The lead data is based on the ArcLeads product ( https://doi.org/10.1594/PANGAEA.955561 ) derived from MODIS thermal infrared imagery with 1 km² spatial resolution (Reiser et al., 2020). Other/Unknown Material Sea ice Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description This dataset provides daily lead maps for the Arctic as well as cyclone occurrence information based on a cyclone tracking algorithm (Akperov et al., 2020), which was applied to 6-hourly ERA5 (Hersbach et al., 2020) sea level pressure fields. The data is available on a daily time scale from 2002 to 2020 (leads only available for the months November to April) and has a horizontal resolution of 12.5 km². The purpose of the dataset is to analyze lead formation in the Arctic sea ice in response to cyclone passages (publication currently in preparation). The lead data is based on the ArcLeads product ( https://doi.org/10.1594/PANGAEA.955561 ) derived from MODIS thermal infrared imagery with 1 km² spatial resolution (Reiser et al., 2020).
format Other/Unknown Material
author Aue, Lars
Rinke, Annette
Akperov, Mirseid
Willmes, Sascha
spellingShingle Aue, Lars
Rinke, Annette
Akperov, Mirseid
Willmes, Sascha
Combined cyclone and sea-ice lead data for the Arctic for 2002 to 2020
author_facet Aue, Lars
Rinke, Annette
Akperov, Mirseid
Willmes, Sascha
author_sort Aue, Lars
title Combined cyclone and sea-ice lead data for the Arctic for 2002 to 2020
title_short Combined cyclone and sea-ice lead data for the Arctic for 2002 to 2020
title_full Combined cyclone and sea-ice lead data for the Arctic for 2002 to 2020
title_fullStr Combined cyclone and sea-ice lead data for the Arctic for 2002 to 2020
title_full_unstemmed Combined cyclone and sea-ice lead data for the Arctic for 2002 to 2020
title_sort combined cyclone and sea-ice lead data for the arctic for 2002 to 2020
publisher Zenodo
publishDate 2024
url https://doi.org/10.5281/zenodo.10696969
genre Sea ice
genre_facet Sea ice
op_relation https://doi.org/10.1594/PANGAEA.955561
https://doi.org/10.5281/zenodo.10696968
https://doi.org/10.5281/zenodo.10696969
oai:zenodo.org:10696969
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.1069696910.1594/PANGAEA.95556110.5281/zenodo.10696968
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