Aerosol, Cloud, and Meteorological Data Over Arctic Sea Ice (May-September, 2008-2010, 2012-2015) ...
The amount of liquid and ice in clouds affects how much they warm or cool the surface in the rapidly warming Arctic. Dust aerosols cause cloud droplets to freeze and may be why clouds at similar temperatures are substantially icier over the Arctic than over the cleaner Antarctic. This data set inclu...
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NSF Arctic Data Center
2024
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Online Access: | https://dx.doi.org/10.18739/a29s1kn0t https://arcticdata.io/catalog/view/doi:10.18739/A29S1KN0T |
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ftdatacite:10.18739/a29s1kn0t 2024-09-09T19:09:04+00:00 Aerosol, Cloud, and Meteorological Data Over Arctic Sea Ice (May-September, 2008-2010, 2012-2015) ... Zamora, Lauren Kahn, Ralph 2024 text/xml https://dx.doi.org/10.18739/a29s1kn0t https://arcticdata.io/catalog/view/doi:10.18739/A29S1KN0T en eng NSF Arctic Data Center Black carbon Aerosol concentration Carbonaceous aerosols Dust/Ash/Smoke Sea salt Sulfate particles Dimethyl sulfide Longwave radiation Shortwave radiation Atmospheric temperature Atmospheric stability Atmospheric water vapor Clouds Cloud radiative forcing dataset Dataset 2024 ftdatacite https://doi.org/10.18739/a29s1kn0t 2024-06-17T11:01:02Z The amount of liquid and ice in clouds affects how much they warm or cool the surface in the rapidly warming Arctic. Dust aerosols cause cloud droplets to freeze and may be why clouds at similar temperatures are substantially icier over the Arctic than over the cleaner Antarctic. This data set includes data underlying the figures in Zamora and Kahn (2024), "Dust-driven cloud glaciation over summertime Arctic sea ice" (submitted). We used satellite, reanalysis, and model information to better understand how clouds containing dust were different from other clouds in similar meteorological conditions over summertime sea ice and how this might affect cloud radiative effects. We also assessed which meteorological and aerosol variables were most predictive of cloud changes associated with dust. The data from this study are taken between May to September from the years 2008-2010 and 2012-2015. This data set specifically includes information on cloud phases over sea ice between 0.6 to 8.5 kilometers (km) (fC.csv). ... Dataset Antarc* Antarctic Arctic black carbon Sea ice DataCite Antarctic Arctic Kahn ENVELOPE(-61.583,-61.583,-64.350,-64.350) |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
Black carbon Aerosol concentration Carbonaceous aerosols Dust/Ash/Smoke Sea salt Sulfate particles Dimethyl sulfide Longwave radiation Shortwave radiation Atmospheric temperature Atmospheric stability Atmospheric water vapor Clouds Cloud radiative forcing |
spellingShingle |
Black carbon Aerosol concentration Carbonaceous aerosols Dust/Ash/Smoke Sea salt Sulfate particles Dimethyl sulfide Longwave radiation Shortwave radiation Atmospheric temperature Atmospheric stability Atmospheric water vapor Clouds Cloud radiative forcing Zamora, Lauren Kahn, Ralph Aerosol, Cloud, and Meteorological Data Over Arctic Sea Ice (May-September, 2008-2010, 2012-2015) ... |
topic_facet |
Black carbon Aerosol concentration Carbonaceous aerosols Dust/Ash/Smoke Sea salt Sulfate particles Dimethyl sulfide Longwave radiation Shortwave radiation Atmospheric temperature Atmospheric stability Atmospheric water vapor Clouds Cloud radiative forcing |
description |
The amount of liquid and ice in clouds affects how much they warm or cool the surface in the rapidly warming Arctic. Dust aerosols cause cloud droplets to freeze and may be why clouds at similar temperatures are substantially icier over the Arctic than over the cleaner Antarctic. This data set includes data underlying the figures in Zamora and Kahn (2024), "Dust-driven cloud glaciation over summertime Arctic sea ice" (submitted). We used satellite, reanalysis, and model information to better understand how clouds containing dust were different from other clouds in similar meteorological conditions over summertime sea ice and how this might affect cloud radiative effects. We also assessed which meteorological and aerosol variables were most predictive of cloud changes associated with dust. The data from this study are taken between May to September from the years 2008-2010 and 2012-2015. This data set specifically includes information on cloud phases over sea ice between 0.6 to 8.5 kilometers (km) (fC.csv). ... |
format |
Dataset |
author |
Zamora, Lauren Kahn, Ralph |
author_facet |
Zamora, Lauren Kahn, Ralph |
author_sort |
Zamora, Lauren |
title |
Aerosol, Cloud, and Meteorological Data Over Arctic Sea Ice (May-September, 2008-2010, 2012-2015) ... |
title_short |
Aerosol, Cloud, and Meteorological Data Over Arctic Sea Ice (May-September, 2008-2010, 2012-2015) ... |
title_full |
Aerosol, Cloud, and Meteorological Data Over Arctic Sea Ice (May-September, 2008-2010, 2012-2015) ... |
title_fullStr |
Aerosol, Cloud, and Meteorological Data Over Arctic Sea Ice (May-September, 2008-2010, 2012-2015) ... |
title_full_unstemmed |
Aerosol, Cloud, and Meteorological Data Over Arctic Sea Ice (May-September, 2008-2010, 2012-2015) ... |
title_sort |
aerosol, cloud, and meteorological data over arctic sea ice (may-september, 2008-2010, 2012-2015) ... |
publisher |
NSF Arctic Data Center |
publishDate |
2024 |
url |
https://dx.doi.org/10.18739/a29s1kn0t https://arcticdata.io/catalog/view/doi:10.18739/A29S1KN0T |
long_lat |
ENVELOPE(-61.583,-61.583,-64.350,-64.350) |
geographic |
Antarctic Arctic Kahn |
geographic_facet |
Antarctic Arctic Kahn |
genre |
Antarc* Antarctic Arctic black carbon Sea ice |
genre_facet |
Antarc* Antarctic Arctic black carbon Sea ice |
op_doi |
https://doi.org/10.18739/a29s1kn0t |
_version_ |
1809823354590330880 |