Spatial predictions of pingo, ice-wedge polygon and rock glacier occurrence across the circumpolar permafrost region for recent and future periods ...
This dataset contains spatial predictions of the potential environmental spaces for pingos, ice-wedge polygons and rock glaciers across the Northern Hemisphere permafrost areas. The potential environmental spaces, i.e. conditions where climate, topography and soil properties are suitable for landfor...
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Online Access: | https://dx.doi.org/10.1594/pangaea.922771 https://doi.pangaea.de/10.1594/PANGAEA.922771 |
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ftdatacite:10.1594/pangaea.922771 2024-06-09T07:46:37+00:00 Spatial predictions of pingo, ice-wedge polygon and rock glacier occurrence across the circumpolar permafrost region for recent and future periods ... Karjalainen, Olli Luoto, Miska Aalto, Juha Etzelmüller, Bernd Grosse, Guido Jones, Benjamin M Lilleøren, Karianne Staalesen Hjort, Jan 2020 application/zip https://dx.doi.org/10.1594/pangaea.922771 https://doi.pangaea.de/10.1594/PANGAEA.922771 en eng PANGAEA https://dx.doi.org/10.1088/1748-9326/abafd5 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 circumpolar Climate change distribution ice wedge polygon periglacial processes Permafrost Pingo rock glacier statistical modelling Dataset dataset 2020 ftdatacite https://doi.org/10.1594/pangaea.92277110.1088/1748-9326/abafd5 2024-05-13T12:44:57Z This dataset contains spatial predictions of the potential environmental spaces for pingos, ice-wedge polygons and rock glaciers across the Northern Hemisphere permafrost areas. The potential environmental spaces, i.e. conditions where climate, topography and soil properties are suitable for landform presence, were predicted with statistical ensemble modelling employing geospatial data on environmental conditions at 30 arc-second resolution (~1 km). In addition to the baseline period (1950-2000), the predictions are provided for 2041-2060 and 2061-2080 using climate-forcing scenarios (Representative Concentration Pathways 4.5 and 8.5). The resulting dataset consists of five spatial predictions for each landform in GeoTIFF format.The data provide new information on 1) the fine-scale spatial distribution of permafrost landforms in the Northern Hemisphere, 2) the potential future alterations in the environmental suitability for permafrost landforms due to climate change, and 3) the circumpolar distribution of ... Dataset Ice permafrost wedge* 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 |
circumpolar Climate change distribution ice wedge polygon periglacial processes Permafrost Pingo rock glacier statistical modelling |
spellingShingle |
circumpolar Climate change distribution ice wedge polygon periglacial processes Permafrost Pingo rock glacier statistical modelling Karjalainen, Olli Luoto, Miska Aalto, Juha Etzelmüller, Bernd Grosse, Guido Jones, Benjamin M Lilleøren, Karianne Staalesen Hjort, Jan Spatial predictions of pingo, ice-wedge polygon and rock glacier occurrence across the circumpolar permafrost region for recent and future periods ... |
topic_facet |
circumpolar Climate change distribution ice wedge polygon periglacial processes Permafrost Pingo rock glacier statistical modelling |
description |
This dataset contains spatial predictions of the potential environmental spaces for pingos, ice-wedge polygons and rock glaciers across the Northern Hemisphere permafrost areas. The potential environmental spaces, i.e. conditions where climate, topography and soil properties are suitable for landform presence, were predicted with statistical ensemble modelling employing geospatial data on environmental conditions at 30 arc-second resolution (~1 km). In addition to the baseline period (1950-2000), the predictions are provided for 2041-2060 and 2061-2080 using climate-forcing scenarios (Representative Concentration Pathways 4.5 and 8.5). The resulting dataset consists of five spatial predictions for each landform in GeoTIFF format.The data provide new information on 1) the fine-scale spatial distribution of permafrost landforms in the Northern Hemisphere, 2) the potential future alterations in the environmental suitability for permafrost landforms due to climate change, and 3) the circumpolar distribution of ... |
format |
Dataset |
author |
Karjalainen, Olli Luoto, Miska Aalto, Juha Etzelmüller, Bernd Grosse, Guido Jones, Benjamin M Lilleøren, Karianne Staalesen Hjort, Jan |
author_facet |
Karjalainen, Olli Luoto, Miska Aalto, Juha Etzelmüller, Bernd Grosse, Guido Jones, Benjamin M Lilleøren, Karianne Staalesen Hjort, Jan |
author_sort |
Karjalainen, Olli |
title |
Spatial predictions of pingo, ice-wedge polygon and rock glacier occurrence across the circumpolar permafrost region for recent and future periods ... |
title_short |
Spatial predictions of pingo, ice-wedge polygon and rock glacier occurrence across the circumpolar permafrost region for recent and future periods ... |
title_full |
Spatial predictions of pingo, ice-wedge polygon and rock glacier occurrence across the circumpolar permafrost region for recent and future periods ... |
title_fullStr |
Spatial predictions of pingo, ice-wedge polygon and rock glacier occurrence across the circumpolar permafrost region for recent and future periods ... |
title_full_unstemmed |
Spatial predictions of pingo, ice-wedge polygon and rock glacier occurrence across the circumpolar permafrost region for recent and future periods ... |
title_sort |
spatial predictions of pingo, ice-wedge polygon and rock glacier occurrence across the circumpolar permafrost region for recent and future periods ... |
publisher |
PANGAEA |
publishDate |
2020 |
url |
https://dx.doi.org/10.1594/pangaea.922771 https://doi.pangaea.de/10.1594/PANGAEA.922771 |
genre |
Ice permafrost wedge* |
genre_facet |
Ice permafrost wedge* |
op_relation |
https://dx.doi.org/10.1088/1748-9326/abafd5 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.92277110.1088/1748-9326/abafd5 |
_version_ |
1801376589466828800 |