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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.988474 |
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Table of Contents:
- Understanding snow and permafrost processes and changes requires long-term observational datasets. This dataset adds manual measurements of snow water equivalent (SWE) and snow depth during the seasons 20/21, and 21/22 within the footprint of the automated SWE measurements at the Bayelva permafrost long-term observatory for validation. 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.