End-of-winter snow water equivalent in Jarvis Creek watershed, Interior Alaska, 2011-2016

The overall project assessed the linkages and controls of a subarctic glacier-permafrost hydrological system from a watershed-scale perspective using field measurements, remote sensing and numerical modeling. Jarvis Creek (634km²), which feeds the Delta and Tanana River in Interior Alaska, was studi...

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Bibliographic Details
Main Author: Liljedahl, Anna
Format: Dataset
Language:English
Published: Arctic Data Center 2017
Subjects:
SWE
Online Access:https://dx.doi.org/10.18739/a21g0hv2p
https://arcticdata.io/catalog/#view/doi:10.18739/A21G0HV2P
id ftdatacite:10.18739/a21g0hv2p
record_format openpolar
spelling ftdatacite:10.18739/a21g0hv2p 2023-05-15T15:08:25+02:00 End-of-winter snow water equivalent in Jarvis Creek watershed, Interior Alaska, 2011-2016 Liljedahl, Anna 2017 text/xml https://dx.doi.org/10.18739/a21g0hv2p https://arcticdata.io/catalog/#view/doi:10.18739/A21G0HV2P en eng Arctic Data Center Snow depth Snow density SWE Jarvis dataset Dataset 2017 ftdatacite https://doi.org/10.18739/a21g0hv2p 2021-11-05T12:55:41Z The overall project assessed the linkages and controls of a subarctic glacier-permafrost hydrological system from a watershed-scale perspective using field measurements, remote sensing and numerical modeling. Jarvis Creek (634km²), which feeds the Delta and Tanana River in Interior Alaska, was studied as a proxy of the observed mountain glacier melting and permafrost degradation that has been documented across the Arctic region in recent decades. The specific objectives were to 1) assess the hydrologic fluxes (including streamflow source components), stores, pathways and the role of glacier wastage on watershed hydrology, through hydrologic and geochemical field measurements as well as numerical and statistical modeling; 2) quantify the effect of glaciers and permafrost on recent historical (1960-present) hydrologic fluxes and storage by combining remote sensing, field measurements of glacier mass balance, and hydrology with a heat- and mass transfer model, and 3) project the future hydrologic regime using custom-derived downscaled climate projections. The purpose of this dataset was to quantify the variability in end-of-winter snow depth, snow density and snow water equivalent (SWE) across a range of vegetation types (forest to dwarf-shrub alpine tundra) in the lowland and lower mountain areas of Jarvis Creek watershed during a six year time period. The measurements informed assessments of watershed hydrology. Dataset Arctic glacier glaciers permafrost Subarctic Tundra Alaska DataCite Metadata Store (German National Library of Science and Technology) Arctic Jarvis Creek ENVELOPE(-136.154,-136.154,63.700,63.700)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Snow depth
Snow density
SWE
Jarvis
spellingShingle Snow depth
Snow density
SWE
Jarvis
Liljedahl, Anna
End-of-winter snow water equivalent in Jarvis Creek watershed, Interior Alaska, 2011-2016
topic_facet Snow depth
Snow density
SWE
Jarvis
description The overall project assessed the linkages and controls of a subarctic glacier-permafrost hydrological system from a watershed-scale perspective using field measurements, remote sensing and numerical modeling. Jarvis Creek (634km²), which feeds the Delta and Tanana River in Interior Alaska, was studied as a proxy of the observed mountain glacier melting and permafrost degradation that has been documented across the Arctic region in recent decades. The specific objectives were to 1) assess the hydrologic fluxes (including streamflow source components), stores, pathways and the role of glacier wastage on watershed hydrology, through hydrologic and geochemical field measurements as well as numerical and statistical modeling; 2) quantify the effect of glaciers and permafrost on recent historical (1960-present) hydrologic fluxes and storage by combining remote sensing, field measurements of glacier mass balance, and hydrology with a heat- and mass transfer model, and 3) project the future hydrologic regime using custom-derived downscaled climate projections. The purpose of this dataset was to quantify the variability in end-of-winter snow depth, snow density and snow water equivalent (SWE) across a range of vegetation types (forest to dwarf-shrub alpine tundra) in the lowland and lower mountain areas of Jarvis Creek watershed during a six year time period. The measurements informed assessments of watershed hydrology.
format Dataset
author Liljedahl, Anna
author_facet Liljedahl, Anna
author_sort Liljedahl, Anna
title End-of-winter snow water equivalent in Jarvis Creek watershed, Interior Alaska, 2011-2016
title_short End-of-winter snow water equivalent in Jarvis Creek watershed, Interior Alaska, 2011-2016
title_full End-of-winter snow water equivalent in Jarvis Creek watershed, Interior Alaska, 2011-2016
title_fullStr End-of-winter snow water equivalent in Jarvis Creek watershed, Interior Alaska, 2011-2016
title_full_unstemmed End-of-winter snow water equivalent in Jarvis Creek watershed, Interior Alaska, 2011-2016
title_sort end-of-winter snow water equivalent in jarvis creek watershed, interior alaska, 2011-2016
publisher Arctic Data Center
publishDate 2017
url https://dx.doi.org/10.18739/a21g0hv2p
https://arcticdata.io/catalog/#view/doi:10.18739/A21G0HV2P
long_lat ENVELOPE(-136.154,-136.154,63.700,63.700)
geographic Arctic
Jarvis Creek
geographic_facet Arctic
Jarvis Creek
genre Arctic
glacier
glaciers
permafrost
Subarctic
Tundra
Alaska
genre_facet Arctic
glacier
glaciers
permafrost
Subarctic
Tundra
Alaska
op_doi https://doi.org/10.18739/a21g0hv2p
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