Snow, Wind, and Time Project: Terrestrial Lidar Scanner Snow Accumulation Maps, Utqiagvik, AK, November 2016 - June 2017

The insulating and reflective properties of snow substantially influence Arctic sea ice growth and decay. The overwhelming consensus within the scientific community is that the details of snow and sea ice interactions must be better incorporated in Earth System models, yet basic information on snow...

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Bibliographic Details
Main Authors: Chris Polashenski, Nicholas Wright, Glen Liston
Format: Dataset
Language:unknown
Published: Arctic Data Center 2019
Subjects:
Online Access:https://search.dataone.org/view/urn:uuid:2784d0e1-5d92-4275-8ed9-3a0e3cff8ce2
id dataone:urn:uuid:2784d0e1-5d92-4275-8ed9-3a0e3cff8ce2
record_format openpolar
spelling dataone:urn:uuid:2784d0e1-5d92-4275-8ed9-3a0e3cff8ce2 2024-11-03T19:44:59+00:00 Snow, Wind, and Time Project: Terrestrial Lidar Scanner Snow Accumulation Maps, Utqiagvik, AK, November 2016 - June 2017 Chris Polashenski Nicholas Wright Glen Liston Landfast sea ice near Utqiagvik, Alaska ENVELOPE(-156.9,-156.2,71.4,71.28) BEGINDATE: 2016-11-15T00:00:00Z ENDDATE: 2017-06-30T00:00:00Z 2019-06-30T00:00:00Z https://search.dataone.org/view/urn:uuid:2784d0e1-5d92-4275-8ed9-3a0e3cff8ce2 unknown Arctic Data Center snow sea ice thermal conductivity accumultion Dataset 2019 dataone:urn:node:ARCTIC 2024-11-03T19:15:29Z The insulating and reflective properties of snow substantially influence Arctic sea ice growth and decay. The overwhelming consensus within the scientific community is that the details of snow and sea ice interactions must be better incorporated in Earth System models, yet basic information on snow processes remains poorly quantified. The limited treatment of snow in Earth System models is largely based on datasets from field experiments on multi-year ice and does not capture changing snow properties and processes. Increasingly pervasive younger, thinner ice carries a different snowpack and is likely much more sensitive to snow conditions than the multi-year ice of the past. Predicting Arctic climate requires that we understand snow on sea ice and its interactions and feedbacks among the rest of the climate system components. A particularly important aspect of snow on sea ice is its fine-scale spatial redistribution. Wind-driven snow redistribution into dunes and drifts controls thermal fluxes and melt pond formation, exerting considerable control over ice mass balance. Dataset Arctic Sea ice Alaska Arctic Data Center (via DataONE) Arctic ENVELOPE(-156.9,-156.2,71.4,71.28)
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
topic snow
sea ice
thermal conductivity
accumultion
spellingShingle snow
sea ice
thermal conductivity
accumultion
Chris Polashenski
Nicholas Wright
Glen Liston
Snow, Wind, and Time Project: Terrestrial Lidar Scanner Snow Accumulation Maps, Utqiagvik, AK, November 2016 - June 2017
topic_facet snow
sea ice
thermal conductivity
accumultion
description The insulating and reflective properties of snow substantially influence Arctic sea ice growth and decay. The overwhelming consensus within the scientific community is that the details of snow and sea ice interactions must be better incorporated in Earth System models, yet basic information on snow processes remains poorly quantified. The limited treatment of snow in Earth System models is largely based on datasets from field experiments on multi-year ice and does not capture changing snow properties and processes. Increasingly pervasive younger, thinner ice carries a different snowpack and is likely much more sensitive to snow conditions than the multi-year ice of the past. Predicting Arctic climate requires that we understand snow on sea ice and its interactions and feedbacks among the rest of the climate system components. A particularly important aspect of snow on sea ice is its fine-scale spatial redistribution. Wind-driven snow redistribution into dunes and drifts controls thermal fluxes and melt pond formation, exerting considerable control over ice mass balance.
format Dataset
author Chris Polashenski
Nicholas Wright
Glen Liston
author_facet Chris Polashenski
Nicholas Wright
Glen Liston
author_sort Chris Polashenski
title Snow, Wind, and Time Project: Terrestrial Lidar Scanner Snow Accumulation Maps, Utqiagvik, AK, November 2016 - June 2017
title_short Snow, Wind, and Time Project: Terrestrial Lidar Scanner Snow Accumulation Maps, Utqiagvik, AK, November 2016 - June 2017
title_full Snow, Wind, and Time Project: Terrestrial Lidar Scanner Snow Accumulation Maps, Utqiagvik, AK, November 2016 - June 2017
title_fullStr Snow, Wind, and Time Project: Terrestrial Lidar Scanner Snow Accumulation Maps, Utqiagvik, AK, November 2016 - June 2017
title_full_unstemmed Snow, Wind, and Time Project: Terrestrial Lidar Scanner Snow Accumulation Maps, Utqiagvik, AK, November 2016 - June 2017
title_sort snow, wind, and time project: terrestrial lidar scanner snow accumulation maps, utqiagvik, ak, november 2016 - june 2017
publisher Arctic Data Center
publishDate 2019
url https://search.dataone.org/view/urn:uuid:2784d0e1-5d92-4275-8ed9-3a0e3cff8ce2
op_coverage Landfast sea ice near Utqiagvik, Alaska
ENVELOPE(-156.9,-156.2,71.4,71.28)
BEGINDATE: 2016-11-15T00:00:00Z ENDDATE: 2017-06-30T00:00:00Z
long_lat ENVELOPE(-156.9,-156.2,71.4,71.28)
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
Alaska
genre_facet Arctic
Sea ice
Alaska
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