Soil data at station Bayelva in 2024 (level 1)

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Main Authors: Boike, Julia, Grünberg, Inge, Miesner, Frederieke, Bornemann, Niko, Cable, William L
Format: Dataset Open Access
Language:en
Published: PANGAEA 2025
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author Boike, Julia
Grünberg, Inge
Miesner, Frederieke
Bornemann, Niko
Cable, William L
author_facet Boike, Julia
Grünberg, Inge
Miesner, Frederieke
Bornemann, Niko
Cable, William L
collection Datos científicos de ciencias marinas y ambientales
contents 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 Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_980896
institution PANGAEA
language en
publishDate 2025
publisher PANGAEA
record_format pangaea
spellingShingle Soil data at station Bayelva in 2024 (level 1)
Boike, Julia
Grünberg, Inge
Miesner, Frederieke
Bornemann, Niko
Cable, William L
active layer; Arctic; AWI_Perma; AWIPEV; AWIPEV_based; Bayelva; Bayelva_Station; Bayelva permafrost long-term observations; dielectricity; dielectric number; Electrical conductivity; LTO_Permafrost_Bayelva; Monitoring station; MONS; Ny-Ålesund, Spitsbergen; Permafrost; Permafrost Research; relative permittivity; Soil; Soil Moisture; soil temperature; Svalbard; Temperature; water content
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.
title Soil data at station Bayelva in 2024 (level 1)
topic active layer; Arctic; AWI_Perma; AWIPEV; AWIPEV_based; Bayelva; Bayelva_Station; Bayelva permafrost long-term observations; dielectricity; dielectric number; Electrical conductivity; LTO_Permafrost_Bayelva; Monitoring station; MONS; Ny-Ålesund, Spitsbergen; Permafrost; Permafrost Research; relative permittivity; Soil; Soil Moisture; soil temperature; Svalbard; Temperature; water content
url https://doi.org/10.1594/PANGAEA.980896