Soil data at station Bayelva (2021, 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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Bibliographic Details
Main Authors: Boike, Julia, Grünberg, Inge, Miesner, Frederieke, Bornemann, Niko, Cable, William L, Lange, Stephan
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.949047
https://doi.pangaea.de/10.1594/PANGAEA.949047
id ftdatacite:10.1594/pangaea.949047
record_format openpolar
spelling ftdatacite:10.1594/pangaea.949047 2024-03-31T07:50:43+00:00 Soil data at station Bayelva (2021, level 1) ... Boike, Julia Grünberg, Inge Miesner, Frederieke Bornemann, Niko Cable, William L Lange, Stephan 2022 text/plain https://dx.doi.org/10.1594/pangaea.949047 https://doi.pangaea.de/10.1594/PANGAEA.949047 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 2022 ftdatacite https://doi.org/10.1594/pangaea.94904710.1594/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. ... : This dataset of 2021 is a continuation of a data record, which was published in Boike et al. (2018), doi:10.5194/essd-10-355-2018. If you use this dataset, please cite this publication. ... 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
Miesner, Frederieke
Bornemann, Niko
Cable, William L
Lange, Stephan
Soil data at station Bayelva (2021, 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. ... : This dataset of 2021 is a continuation of a data record, which was published in Boike et al. (2018), doi:10.5194/essd-10-355-2018. If you use this dataset, please cite this publication. ...
format Dataset
author Boike, Julia
Grünberg, Inge
Miesner, Frederieke
Bornemann, Niko
Cable, William L
Lange, Stephan
author_facet Boike, Julia
Grünberg, Inge
Miesner, Frederieke
Bornemann, Niko
Cable, William L
Lange, Stephan
author_sort Boike, Julia
title Soil data at station Bayelva (2021, level 1) ...
title_short Soil data at station Bayelva (2021, level 1) ...
title_full Soil data at station Bayelva (2021, level 1) ...
title_fullStr Soil data at station Bayelva (2021, level 1) ...
title_full_unstemmed Soil data at station Bayelva (2021, level 1) ...
title_sort soil data at station bayelva (2021, level 1) ...
publisher PANGAEA
publishDate 2022
url https://dx.doi.org/10.1594/pangaea.949047
https://doi.pangaea.de/10.1594/PANGAEA.949047
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.94904710.1594/pangaea.94895110.1594/pangaea.88012010.5194/essd-10-355-2018
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