Soil data at station Bayelva (2020, 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 more than the l...
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Online Access: | https://dx.doi.org/10.1594/pangaea.936226 https://doi.pangaea.de/10.1594/PANGAEA.936226 |
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ftdatacite:10.1594/pangaea.936226 2024-03-31T07:50:40+00:00 Soil data at station Bayelva (2020, level 1) ... Boike, Julia Bornemann, Niko Cable, William L Grünberg, Inge Lange, Stephan 2021 text/plain https://dx.doi.org/10.1594/pangaea.936226 https://doi.pangaea.de/10.1594/PANGAEA.936226 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.93622610.1594/pangaea.94895110.1594/pangaea.88012010.5194/essd-10-355-2018 2024-03-04T13:49:28Z 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 more than 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 Bornemann, Niko Cable, William L Grünberg, Inge Lange, Stephan Soil data at station Bayelva (2020, 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 more than 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 Bornemann, Niko Cable, William L Grünberg, Inge Lange, Stephan |
author_facet |
Boike, Julia Bornemann, Niko Cable, William L Grünberg, Inge Lange, Stephan |
author_sort |
Boike, Julia |
title |
Soil data at station Bayelva (2020, level 1) ... |
title_short |
Soil data at station Bayelva (2020, level 1) ... |
title_full |
Soil data at station Bayelva (2020, level 1) ... |
title_fullStr |
Soil data at station Bayelva (2020, level 1) ... |
title_full_unstemmed |
Soil data at station Bayelva (2020, level 1) ... |
title_sort |
soil data at station bayelva (2020, level 1) ... |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://dx.doi.org/10.1594/pangaea.936226 https://doi.pangaea.de/10.1594/PANGAEA.936226 |
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.93622610.1594/pangaea.94895110.1594/pangaea.88012010.5194/essd-10-355-2018 |
_version_ |
1795029028791386112 |