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| Main Authors: | , , , , |
|---|---|
| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2026
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| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.992792 |
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Table of Contents:
- Understanding snow and permafrost processes and changes requires long-term observational datasets. This dataset adds detailed snow measurements to the ongoing long-term monitoring efforts of meteorological and permafrost related variables at the Bayelva Site at Ny-Ålesund, Svalbard. We provide time series of snow water equivalent (SWE), snow depth, and air temperature measurements recorded by automated sensors installed in August 2024. The data is carefully processed and quality-controlled and the resulting dataset adds valuable information to the unique long-term data record of the Bayelva station and serves as a baseline for future studies.