Thaw depth and organic layer depth from Alaska borehole sites, 2015, 2017, 2018 (ViPER Project)
Realistic representations of heat exchange in permafrost ecosystems are necessary for accurate predictive understanding of the permafrost carbon feedback under future climate scenarios.The objective of this project is to examine the impacts of vegetation and ecosystem properties on active layer and...
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Arctic Data Center
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ftdatacite:10.18739/a22j6848j 2023-05-15T17:55:20+02:00 Thaw depth and organic layer depth from Alaska borehole sites, 2015, 2017, 2018 (ViPER Project) Natali, Susan Kholodov, Alexander Loranty, Michael 2016 text/xml https://dx.doi.org/10.18739/a22j6848j https://arcticdata.io/catalog/view/doi:10.18739/A22J6848J en eng Arctic Data Center thaw depth organic layer depth permafrost borehole Alaska dataset Dataset 2016 ftdatacite https://doi.org/10.18739/a22j6848j 2021-11-05T12:55:41Z Realistic representations of heat exchange in permafrost ecosystems are necessary for accurate predictive understanding of the permafrost carbon feedback under future climate scenarios.The objective of this project is to examine the impacts of vegetation and ecosystem properties on active layer and permafrost thermal dynamics in order to better understand the vulnerability of permafrost to climate change. Datasets associated with this project include soil, vegetation, and ground temperature data from permafrost borehole sites in Alaska and NE Siberia. This dataset includes thaw depth and organic layer depth from borehole sites in Alaska measured in July-August 2015, September 2017, and August-September 2018. Dataset permafrost Alaska Siberia DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
thaw depth organic layer depth permafrost borehole Alaska |
spellingShingle |
thaw depth organic layer depth permafrost borehole Alaska Natali, Susan Kholodov, Alexander Loranty, Michael Thaw depth and organic layer depth from Alaska borehole sites, 2015, 2017, 2018 (ViPER Project) |
topic_facet |
thaw depth organic layer depth permafrost borehole Alaska |
description |
Realistic representations of heat exchange in permafrost ecosystems are necessary for accurate predictive understanding of the permafrost carbon feedback under future climate scenarios.The objective of this project is to examine the impacts of vegetation and ecosystem properties on active layer and permafrost thermal dynamics in order to better understand the vulnerability of permafrost to climate change. Datasets associated with this project include soil, vegetation, and ground temperature data from permafrost borehole sites in Alaska and NE Siberia. This dataset includes thaw depth and organic layer depth from borehole sites in Alaska measured in July-August 2015, September 2017, and August-September 2018. |
format |
Dataset |
author |
Natali, Susan Kholodov, Alexander Loranty, Michael |
author_facet |
Natali, Susan Kholodov, Alexander Loranty, Michael |
author_sort |
Natali, Susan |
title |
Thaw depth and organic layer depth from Alaska borehole sites, 2015, 2017, 2018 (ViPER Project) |
title_short |
Thaw depth and organic layer depth from Alaska borehole sites, 2015, 2017, 2018 (ViPER Project) |
title_full |
Thaw depth and organic layer depth from Alaska borehole sites, 2015, 2017, 2018 (ViPER Project) |
title_fullStr |
Thaw depth and organic layer depth from Alaska borehole sites, 2015, 2017, 2018 (ViPER Project) |
title_full_unstemmed |
Thaw depth and organic layer depth from Alaska borehole sites, 2015, 2017, 2018 (ViPER Project) |
title_sort |
thaw depth and organic layer depth from alaska borehole sites, 2015, 2017, 2018 (viper project) |
publisher |
Arctic Data Center |
publishDate |
2016 |
url |
https://dx.doi.org/10.18739/a22j6848j https://arcticdata.io/catalog/view/doi:10.18739/A22J6848J |
genre |
permafrost Alaska Siberia |
genre_facet |
permafrost Alaska Siberia |
op_doi |
https://doi.org/10.18739/a22j6848j |
_version_ |
1766163253817245696 |