Soil data at station Bayelva (2019, level 1) ...
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for the last 20 yea...
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Online Access: | https://dx.doi.org/10.1594/pangaea.928928 https://doi.pangaea.de/10.1594/PANGAEA.928928 |
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ftdatacite:10.1594/pangaea.928928 2023-07-23T04:17:25+02:00 Soil data at station Bayelva (2019, level 1) ... Boike, Julia Grünberg, Inge Lange, Stephan Bornemann, Niko Cable, William L Lehr, Christian 2021 text/plain https://dx.doi.org/10.1594/pangaea.928928 https://doi.pangaea.de/10.1594/PANGAEA.928928 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.948951 https://dx.doi.org/10.1594/pangaea.880120 https://dx.doi.org/10.5194/essd-10-355-2018 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 active layer Arctic Bayelva dielectricity dielectric number Electrical conductivity permafrost relative permittivity Soil Soil Moisture soil temperature Svalbard Temperature water content Monitoring station Permafrost Research AWI_Perma Dataset dataset 2021 ftdatacite https://doi.org/10.1594/pangaea.92892810.1594/pangaea.94895110.1594/pangaea.88012010.5194/essd-10-355-2018 2023-07-03T18:36:29Z Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and the atmosphere, such as active layer and permafrost temperature, soil volumetric water content and soil bulk electrical conductivity. They are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies. ... Dataset Arctic Ny Ålesund Ny-Ålesund permafrost Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Bayelva ENVELOPE(11.898,11.898,78.933,78.933) Ny-Ålesund Svalbard |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
active layer Arctic Bayelva dielectricity dielectric number Electrical conductivity permafrost relative permittivity Soil Soil Moisture soil temperature Svalbard Temperature water content Monitoring station Permafrost Research AWI_Perma |
spellingShingle |
active layer Arctic Bayelva dielectricity dielectric number Electrical conductivity permafrost relative permittivity Soil Soil Moisture soil temperature Svalbard Temperature water content Monitoring station Permafrost Research AWI_Perma Boike, Julia Grünberg, Inge Lange, Stephan Bornemann, Niko Cable, William L Lehr, Christian Soil data at station Bayelva (2019, level 1) ... |
topic_facet |
active layer Arctic Bayelva dielectricity dielectric number Electrical conductivity permafrost relative permittivity Soil Soil Moisture soil temperature Svalbard Temperature water content Monitoring station Permafrost Research AWI_Perma |
description |
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and the atmosphere, such as active layer and permafrost temperature, soil volumetric water content and soil bulk electrical conductivity. They are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies. ... |
format |
Dataset |
author |
Boike, Julia Grünberg, Inge Lange, Stephan Bornemann, Niko Cable, William L Lehr, Christian |
author_facet |
Boike, Julia Grünberg, Inge Lange, Stephan Bornemann, Niko Cable, William L Lehr, Christian |
author_sort |
Boike, Julia |
title |
Soil data at station Bayelva (2019, level 1) ... |
title_short |
Soil data at station Bayelva (2019, level 1) ... |
title_full |
Soil data at station Bayelva (2019, level 1) ... |
title_fullStr |
Soil data at station Bayelva (2019, level 1) ... |
title_full_unstemmed |
Soil data at station Bayelva (2019, level 1) ... |
title_sort |
soil data at station bayelva (2019, level 1) ... |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://dx.doi.org/10.1594/pangaea.928928 https://doi.pangaea.de/10.1594/PANGAEA.928928 |
long_lat |
ENVELOPE(11.898,11.898,78.933,78.933) |
geographic |
Arctic Bayelva Ny-Ålesund Svalbard |
geographic_facet |
Arctic Bayelva Ny-Ålesund Svalbard |
genre |
Arctic Ny Ålesund Ny-Ålesund permafrost Svalbard |
genre_facet |
Arctic Ny Ålesund Ny-Ålesund permafrost Svalbard |
op_relation |
https://dx.doi.org/10.1594/pangaea.948951 https://dx.doi.org/10.1594/pangaea.880120 https://dx.doi.org/10.5194/essd-10-355-2018 |
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.92892810.1594/pangaea.94895110.1594/pangaea.88012010.5194/essd-10-355-2018 |
_version_ |
1772179179473731584 |