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...
Main Authors: | , , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2019
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Online Access: | https://publishup.uni-potsdam.de/frontdoor/index/index/docId/40961 https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-409612 https://doi.org/10.25932/publishup-40961 https://publishup.uni-potsdam.de/files/40961/pmnr523.pdf |
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author | Biskaborn, Boris (Prof.) Lanckman, J.-P. Lantuit, Hugues (Prof. Dr.) Elger, K. Streletskiy, Dmitry Cable, William L. Romanovsky, Vladimir E. |
author_facet | Biskaborn, Boris (Prof.) Lanckman, J.-P. Lantuit, Hugues (Prof. Dr.) Elger, K. Streletskiy, Dmitry Cable, William L. Romanovsky, Vladimir E. |
author_sort | Biskaborn, Boris (Prof.) |
collection | University of Potsdam: publish.UP |
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 25m 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 zones ... |
format | Article in Journal/Newspaper |
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 |
geographic | Antarctic Arctic |
geographic_facet | Antarctic Arctic |
id | ftubpotsdam:oai:kobv.de-opus4-uni-potsdam:40961 |
institution | Open Polar |
language | English |
op_collection_id | ftubpotsdam |
op_doi | https://doi.org/10.25932/publishup-40961 |
op_rights | https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
publishDate | 2019 |
record_format | openpolar |
spelling | ftubpotsdam:oai:kobv.de-opus4-uni-potsdam:40961 2025-05-11T14:08:16+00:00 The new database of the Global Terrestrial Network for Permafrost (GTN-P) Biskaborn, Boris (Prof.) Lanckman, J.-P. Lantuit, Hugues (Prof. Dr.) Elger, K. Streletskiy, Dmitry Cable, William L. Romanovsky, Vladimir E. 2019-01-17 application/pdf https://publishup.uni-potsdam.de/frontdoor/index/index/docId/40961 https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-409612 https://doi.org/10.25932/publishup-40961 https://publishup.uni-potsdam.de/files/40961/pmnr523.pdf eng eng https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess ddc:550 Mathematisch-Naturwissenschaftliche Fakultät postprint doc-type:article 2019 ftubpotsdam https://doi.org/10.25932/publishup-40961 2025-04-15T14:28:14Z 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 25m 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 zones ... Article in Journal/Newspaper Active layer monitoring Active layer thickness Antarc* Antarctic Arctic Climate change Global Terrestrial Network for Permafrost GTN-P permafrost University of Potsdam: publish.UP Antarctic Arctic |
spellingShingle | ddc:550 Mathematisch-Naturwissenschaftliche Fakultät Biskaborn, Boris (Prof.) Lanckman, J.-P. Lantuit, Hugues (Prof. Dr.) Elger, K. Streletskiy, Dmitry Cable, William L. Romanovsky, Vladimir E. The new database of the Global Terrestrial Network for Permafrost (GTN-P) |
title | 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_short | 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) |
topic | ddc:550 Mathematisch-Naturwissenschaftliche Fakultät |
topic_facet | ddc:550 Mathematisch-Naturwissenschaftliche Fakultät |
url | https://publishup.uni-potsdam.de/frontdoor/index/index/docId/40961 https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-409612 https://doi.org/10.25932/publishup-40961 https://publishup.uni-potsdam.de/files/40961/pmnr523.pdf |