Wintertime Arctic cloud properties coupled to sea ice leads during MOSAiC expedition
Cloud properties coupled to sea ice leads for the wintertime period of the MOSAiC expedition, from 1st November 2019 to 30th April 2020, at 1 minute temporal resolution. The database comprises of retrieved micro- and macro-physical cloud properties classified by their status of coupling to water vap...
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Online Access: | https://doi.org/10.7910/DVN/DZSUV7 |
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ftharvardunivdvn:doi:10.7910/DVN/DZSUV7 2023-08-15T12:39:39+02:00 Wintertime Arctic cloud properties coupled to sea ice leads during MOSAiC expedition Saavedra Garfias, Pablo Kalesse-Los, Heike Saavedra Garfias, Pablo 2023-03-31 https://doi.org/10.7910/DVN/DZSUV7 English eng Harvard Dataverse https://doi.org/10.7910/DVN/DZSUV7 Earth and Environmental Sciences Physics Other arctic clouds sea ice leads water content 2023 ftharvardunivdvn https://doi.org/10.7910/DVN/DZSUV7 2023-07-24T00:01:42Z Cloud properties coupled to sea ice leads for the wintertime period of the MOSAiC expedition, from 1st November 2019 to 30th April 2020, at 1 minute temporal resolution. The database comprises of retrieved micro- and macro-physical cloud properties classified by their status of coupling to water vapor transport. These cloud properties are then related to sea ice condition like percentage of leads observed only at a sector driven by the direction of the water vapor transport. The database has been utilized to analyze statistically the asymmetries of Arctic cloud properties based on the coupling status. The results are presented in a submitted manuscript to the European Geophysical Union Atmospheric Chemistry and Physics journal. Other/Unknown Material Arctic Sea ice Harvard Dataverse Arctic |
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Open Polar |
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Harvard Dataverse |
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ftharvardunivdvn |
language |
English |
topic |
Earth and Environmental Sciences Physics Other arctic clouds sea ice leads water content |
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Earth and Environmental Sciences Physics Other arctic clouds sea ice leads water content Saavedra Garfias, Pablo Kalesse-Los, Heike Wintertime Arctic cloud properties coupled to sea ice leads during MOSAiC expedition |
topic_facet |
Earth and Environmental Sciences Physics Other arctic clouds sea ice leads water content |
description |
Cloud properties coupled to sea ice leads for the wintertime period of the MOSAiC expedition, from 1st November 2019 to 30th April 2020, at 1 minute temporal resolution. The database comprises of retrieved micro- and macro-physical cloud properties classified by their status of coupling to water vapor transport. These cloud properties are then related to sea ice condition like percentage of leads observed only at a sector driven by the direction of the water vapor transport. The database has been utilized to analyze statistically the asymmetries of Arctic cloud properties based on the coupling status. The results are presented in a submitted manuscript to the European Geophysical Union Atmospheric Chemistry and Physics journal. |
author2 |
Saavedra Garfias, Pablo |
author |
Saavedra Garfias, Pablo Kalesse-Los, Heike |
author_facet |
Saavedra Garfias, Pablo Kalesse-Los, Heike |
author_sort |
Saavedra Garfias, Pablo |
title |
Wintertime Arctic cloud properties coupled to sea ice leads during MOSAiC expedition |
title_short |
Wintertime Arctic cloud properties coupled to sea ice leads during MOSAiC expedition |
title_full |
Wintertime Arctic cloud properties coupled to sea ice leads during MOSAiC expedition |
title_fullStr |
Wintertime Arctic cloud properties coupled to sea ice leads during MOSAiC expedition |
title_full_unstemmed |
Wintertime Arctic cloud properties coupled to sea ice leads during MOSAiC expedition |
title_sort |
wintertime arctic cloud properties coupled to sea ice leads during mosaic expedition |
publisher |
Harvard Dataverse |
publishDate |
2023 |
url |
https://doi.org/10.7910/DVN/DZSUV7 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
https://doi.org/10.7910/DVN/DZSUV7 |
op_doi |
https://doi.org/10.7910/DVN/DZSUV7 |
_version_ |
1774292270659403776 |