Soil data at station Bayelva (2022, level 1)
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| Autores principales: | , , , , |
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2023
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| Acceso en línea: | |
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| _version_ | 1867170421516795904 |
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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_961673 |
| institution | PANGAEA |
| language | en |
| publishDate | 2023 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Soil data at station Bayelva (2022, 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 (2022, 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.961673 |