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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Bibliographic Details
Main Authors: Zamora, Lauren, Kahn, Ralph
Format: Dataset
Language:English
Published: NSF Arctic Data Center 2024
Subjects:
Online Access:https://dx.doi.org/10.18739/a29s1kn0t
https://arcticdata.io/catalog/view/doi:10.18739/A29S1KN0T
id ftdatacite:10.18739/a29s1kn0t
record_format openpolar
spelling 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
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