Cloud occurrence and layering at Arctic atmospheric observatories
Cloud occurrence fraction determines the first order impact of clouds on the climate system. This collection of data sets documents cloud occurrence and, to the degree possible, cloud vertical distribution at multiple locations across the Arctic. Observations are based on the available surface-based...
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NSF Arctic Data Center
2016
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Online Access: | https://dx.doi.org/10.18739/a29g5gf28 https://arcticdata.io/catalog/view/doi:10.18739/A29G5GF28 |
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ftdatacite:10.18739/a29g5gf28 2023-05-15T14:51:29+02:00 Cloud occurrence and layering at Arctic atmospheric observatories Shupe, Matthew 2016 text/xml https://dx.doi.org/10.18739/a29g5gf28 https://arcticdata.io/catalog/view/doi:10.18739/A29G5GF28 en eng NSF Arctic Data Center MANNED FIELD STATION STATION climatologyMeteorologyAtmosphere EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES UNKNOWN HOURLY TO DAILY dataset Dataset 2016 ftdatacite https://doi.org/10.18739/a29g5gf28 2021-11-05T12:55:41Z Cloud occurrence fraction determines the first order impact of clouds on the climate system. This collection of data sets documents cloud occurrence and, to the degree possible, cloud vertical distribution at multiple locations across the Arctic. Observations are based on the available surface-based, remote-sensor measurements. From this perspective, the definition used here for cloud presence is based on the ability for remote-sensors to detect hydrometeors in the atmosphere. While an attempt has been made to maintain a consistent definition of cloud occurrence across the many observatories, each has a unique set of cloud observations instruments. Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
MANNED FIELD STATION STATION climatologyMeteorologyAtmosphere EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES UNKNOWN HOURLY TO DAILY |
spellingShingle |
MANNED FIELD STATION STATION climatologyMeteorologyAtmosphere EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES UNKNOWN HOURLY TO DAILY Shupe, Matthew Cloud occurrence and layering at Arctic atmospheric observatories |
topic_facet |
MANNED FIELD STATION STATION climatologyMeteorologyAtmosphere EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES UNKNOWN HOURLY TO DAILY |
description |
Cloud occurrence fraction determines the first order impact of clouds on the climate system. This collection of data sets documents cloud occurrence and, to the degree possible, cloud vertical distribution at multiple locations across the Arctic. Observations are based on the available surface-based, remote-sensor measurements. From this perspective, the definition used here for cloud presence is based on the ability for remote-sensors to detect hydrometeors in the atmosphere. While an attempt has been made to maintain a consistent definition of cloud occurrence across the many observatories, each has a unique set of cloud observations instruments. |
format |
Dataset |
author |
Shupe, Matthew |
author_facet |
Shupe, Matthew |
author_sort |
Shupe, Matthew |
title |
Cloud occurrence and layering at Arctic atmospheric observatories |
title_short |
Cloud occurrence and layering at Arctic atmospheric observatories |
title_full |
Cloud occurrence and layering at Arctic atmospheric observatories |
title_fullStr |
Cloud occurrence and layering at Arctic atmospheric observatories |
title_full_unstemmed |
Cloud occurrence and layering at Arctic atmospheric observatories |
title_sort |
cloud occurrence and layering at arctic atmospheric observatories |
publisher |
NSF Arctic Data Center |
publishDate |
2016 |
url |
https://dx.doi.org/10.18739/a29g5gf28 https://arcticdata.io/catalog/view/doi:10.18739/A29G5GF28 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_doi |
https://doi.org/10.18739/a29g5gf28 |
_version_ |
1766322616377802752 |