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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Bibliographic Details
Main Authors: Boike, Julia, Bornemann, Niko, Cable, William L, Grünberg, Inge, Lange, Stephan
Format: Dataset
Language:English
Published: PANGAEA 2021
Subjects:
active layer
Arctic
AWI_Perma
Bayelva
Bayelva_Station
dielectricity
dielectric number
Electrical conductivity
Monitoring station
MONS
Ny-Ålesund
Spitsbergen
Permafrost
Permafrost Research
relative permittivity
Soil
Soil Moisture
soil temperature
Svalbard
Temperature
water content
Ny Ålesund
permafrost
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.936226
https://doi.org/10.1594/PANGAEA.936226
Description
Summary: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.

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