Winter Precipitation, Sublimation, and Snow-Depth in the Pan-Arctic

This data set is part of a project to investigate winter sublimation processes in order to improve and develop models and methods which will accurately and reliably estimate sublimation rates. The project is a five-year field campaign using eddy correlation towers to measure surface fluxes of heat,...

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Bibliographic Details
Main Authors: Glen E. Liston, Matthew Sturm
Format: Dataset
Language:unknown
Published: Arctic Data Center
Subjects:
Tower
Arctic
Surface
Barrow
Alaska
Online Access:https://doi.org/10.5065/D6Z03698
id dataone:doi:10.5065/D6Z03698
record_format openpolar
spelling dataone:doi:10.5065/D6Z03698 2024-10-03T18:45:47+00:00 Winter Precipitation, Sublimation, and Snow-Depth in the Pan-Arctic Glen E. Liston Matthew Sturm No geographic description provided. ENVELOPE(-156.75833,-156.75833,71.30028,71.30028) BEGINDATE: 2005-03-01T00:00:00Z ENDDATE: 2006-06-30T00:00:00Z 2016-04-02T11:41:06.827Z https://doi.org/10.5065/D6Z03698 unknown Arctic Data Center Tower Arctic Surface Dataset dataone:urn:node:ARCTIC https://doi.org/10.5065/D6Z03698 2024-10-03T18:08:30Z This data set is part of a project to investigate winter sublimation processes in order to improve and develop models and methods which will accurately and reliably estimate sublimation rates. The project is a five-year field campaign using eddy correlation towers to measure surface fluxes of heat, moisture and momentum. Eddy correlation observations will provide the total moisture flux from the snow surface, which can be attributed to sublimation in cold conditions. This dataset includes data that were collected from two Meteorological towers that were operated near Barrow, Alaska from March to May 2005 and again from October to June 2006. Additional information is available in the readme file, and also the header of each data file. Dataset Arctic Barrow Alaska Arctic Data Center (via DataONE) Arctic ENVELOPE(-156.75833,-156.75833,71.30028,71.30028)
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
topic Tower
Arctic
Surface
spellingShingle Tower
Arctic
Surface
Glen E. Liston
Matthew Sturm
Winter Precipitation, Sublimation, and Snow-Depth in the Pan-Arctic
topic_facet Tower
Arctic
Surface
description This data set is part of a project to investigate winter sublimation processes in order to improve and develop models and methods which will accurately and reliably estimate sublimation rates. The project is a five-year field campaign using eddy correlation towers to measure surface fluxes of heat, moisture and momentum. Eddy correlation observations will provide the total moisture flux from the snow surface, which can be attributed to sublimation in cold conditions. This dataset includes data that were collected from two Meteorological towers that were operated near Barrow, Alaska from March to May 2005 and again from October to June 2006. Additional information is available in the readme file, and also the header of each data file.
format Dataset
author Glen E. Liston
Matthew Sturm
author_facet Glen E. Liston
Matthew Sturm
author_sort Glen E. Liston
title Winter Precipitation, Sublimation, and Snow-Depth in the Pan-Arctic
title_short Winter Precipitation, Sublimation, and Snow-Depth in the Pan-Arctic
title_full Winter Precipitation, Sublimation, and Snow-Depth in the Pan-Arctic
title_fullStr Winter Precipitation, Sublimation, and Snow-Depth in the Pan-Arctic
title_full_unstemmed Winter Precipitation, Sublimation, and Snow-Depth in the Pan-Arctic
title_sort winter precipitation, sublimation, and snow-depth in the pan-arctic
publisher Arctic Data Center
publishDate
url https://doi.org/10.5065/D6Z03698
op_coverage No geographic description provided.
ENVELOPE(-156.75833,-156.75833,71.30028,71.30028)
BEGINDATE: 2005-03-01T00:00:00Z ENDDATE: 2006-06-30T00:00:00Z
long_lat ENVELOPE(-156.75833,-156.75833,71.30028,71.30028)
geographic Arctic
geographic_facet Arctic
genre Arctic
Barrow
Alaska
genre_facet Arctic
Barrow
Alaska
op_doi https://doi.org/10.5065/D6Z03698
_version_ 1811920610902671360

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