The new database of the Global Terrestrial Network for Permafrost (GTN-P)

The Global Terrestrial Network for Permafrost (GTN-P) provides the first dynamic database associated with the Thermal State of Permafrost (TSP) and the Circumpolar Active Layer Monitoring (CALM) programs, which extensively collect permafrost temperature and active layer thickness (ALT) data from Arc...

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Published in:Earth System Science Data
Main Authors: B. K. Biskaborn, J.-P. Lanckman, H. Lantuit, K. Elger, D. A. Streletskiy, W. L. Cable, V. E. Romanovsky
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2015
Subjects:
Online Access:https://doi.org/10.5194/essd-7-245-2015
https://doaj.org/article/772365e09dd044199e29dab4b1a706cb
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spelling ftdoajarticles:oai:doaj.org/article:772365e09dd044199e29dab4b1a706cb 2023-05-15T13:02:46+02:00 The new database of the Global Terrestrial Network for Permafrost (GTN-P) B. K. Biskaborn J.-P. Lanckman H. Lantuit K. Elger D. A. Streletskiy W. L. Cable V. E. Romanovsky 2015-09-01T00:00:00Z https://doi.org/10.5194/essd-7-245-2015 https://doaj.org/article/772365e09dd044199e29dab4b1a706cb EN eng Copernicus Publications http://www.earth-syst-sci-data.net/7/245/2015/essd-7-245-2015.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 1866-3508 1866-3516 doi:10.5194/essd-7-245-2015 https://doaj.org/article/772365e09dd044199e29dab4b1a706cb Earth System Science Data, Vol 7, Iss 2, Pp 245-259 (2015) Environmental sciences GE1-350 Geology QE1-996.5 article 2015 ftdoajarticles https://doi.org/10.5194/essd-7-245-2015 2022-12-31T09:34:29Z The Global Terrestrial Network for Permafrost (GTN-P) provides the first dynamic database associated with the Thermal State of Permafrost (TSP) and the Circumpolar Active Layer Monitoring (CALM) programs, which extensively collect permafrost temperature and active layer thickness (ALT) data from Arctic, Antarctic and mountain permafrost regions. The purpose of GTN-P is to establish an early warning system for the consequences of climate change in permafrost regions and to provide standardized thermal permafrost data to global models. In this paper we introduce the GTN-P database and perform statistical analysis of the GTN-P metadata to identify and quantify the spatial gaps in the site distribution in relation to climate-effective environmental parameters. We describe the concept and structure of the data management system in regard to user operability, data transfer and data policy. We outline data sources and data processing including quality control strategies based on national correspondents. Assessment of the metadata and data quality reveals 63 % metadata completeness at active layer sites and 50 % metadata completeness for boreholes. Voronoi tessellation analysis on the spatial sample distribution of boreholes and active layer measurement sites quantifies the distribution inhomogeneity and provides a potential method to locate additional permafrost research sites by improving the representativeness of thermal monitoring across areas underlain by permafrost. The depth distribution of the boreholes reveals that 73 % are shallower than 25 m and 27 % are deeper, reaching a maximum of 1 km depth. Comparison of the GTN-P site distribution with permafrost zones, soil organic carbon contents and vegetation types exhibits different local to regional monitoring situations, which are illustrated with maps. Preferential slope orientation at the sites most likely causes a bias in the temperature monitoring and should be taken into account when using the data for global models. The distribution of GTN-P sites within ... Article in Journal/Newspaper Active layer monitoring Active layer thickness Antarc* Antarctic Arctic Climate change Global Terrestrial Network for Permafrost GTN-P permafrost Directory of Open Access Journals: DOAJ Articles Arctic Antarctic Earth System Science Data 7 2 245 259
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
B. K. Biskaborn
J.-P. Lanckman
H. Lantuit
K. Elger
D. A. Streletskiy
W. L. Cable
V. E. Romanovsky
The new database of the Global Terrestrial Network for Permafrost (GTN-P)
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description The Global Terrestrial Network for Permafrost (GTN-P) provides the first dynamic database associated with the Thermal State of Permafrost (TSP) and the Circumpolar Active Layer Monitoring (CALM) programs, which extensively collect permafrost temperature and active layer thickness (ALT) data from Arctic, Antarctic and mountain permafrost regions. The purpose of GTN-P is to establish an early warning system for the consequences of climate change in permafrost regions and to provide standardized thermal permafrost data to global models. In this paper we introduce the GTN-P database and perform statistical analysis of the GTN-P metadata to identify and quantify the spatial gaps in the site distribution in relation to climate-effective environmental parameters. We describe the concept and structure of the data management system in regard to user operability, data transfer and data policy. We outline data sources and data processing including quality control strategies based on national correspondents. Assessment of the metadata and data quality reveals 63 % metadata completeness at active layer sites and 50 % metadata completeness for boreholes. Voronoi tessellation analysis on the spatial sample distribution of boreholes and active layer measurement sites quantifies the distribution inhomogeneity and provides a potential method to locate additional permafrost research sites by improving the representativeness of thermal monitoring across areas underlain by permafrost. The depth distribution of the boreholes reveals that 73 % are shallower than 25 m and 27 % are deeper, reaching a maximum of 1 km depth. Comparison of the GTN-P site distribution with permafrost zones, soil organic carbon contents and vegetation types exhibits different local to regional monitoring situations, which are illustrated with maps. Preferential slope orientation at the sites most likely causes a bias in the temperature monitoring and should be taken into account when using the data for global models. The distribution of GTN-P sites within ...
format Article in Journal/Newspaper
author B. K. Biskaborn
J.-P. Lanckman
H. Lantuit
K. Elger
D. A. Streletskiy
W. L. Cable
V. E. Romanovsky
author_facet B. K. Biskaborn
J.-P. Lanckman
H. Lantuit
K. Elger
D. A. Streletskiy
W. L. Cable
V. E. Romanovsky
author_sort B. K. Biskaborn
title The new database of the Global Terrestrial Network for Permafrost (GTN-P)
title_short The new database of the Global Terrestrial Network for Permafrost (GTN-P)
title_full The new database of the Global Terrestrial Network for Permafrost (GTN-P)
title_fullStr The new database of the Global Terrestrial Network for Permafrost (GTN-P)
title_full_unstemmed The new database of the Global Terrestrial Network for Permafrost (GTN-P)
title_sort new database of the global terrestrial network for permafrost (gtn-p)
publisher Copernicus Publications
publishDate 2015
url https://doi.org/10.5194/essd-7-245-2015
https://doaj.org/article/772365e09dd044199e29dab4b1a706cb
geographic Arctic
Antarctic
geographic_facet Arctic
Antarctic
genre Active layer monitoring
Active layer thickness
Antarc*
Antarctic
Arctic
Climate change
Global Terrestrial Network for Permafrost
GTN-P
permafrost
genre_facet Active layer monitoring
Active layer thickness
Antarc*
Antarctic
Arctic
Climate change
Global Terrestrial Network for Permafrost
GTN-P
permafrost
op_source Earth System Science Data, Vol 7, Iss 2, Pp 245-259 (2015)
op_relation http://www.earth-syst-sci-data.net/7/245/2015/essd-7-245-2015.pdf
https://doaj.org/toc/1866-3508
https://doaj.org/toc/1866-3516
1866-3508
1866-3516
doi:10.5194/essd-7-245-2015
https://doaj.org/article/772365e09dd044199e29dab4b1a706cb
op_doi https://doi.org/10.5194/essd-7-245-2015
container_title Earth System Science Data
container_volume 7
container_issue 2
container_start_page 245
op_container_end_page 259
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