From November 2021 to June 2024, spatio-temporal soil and local snow measurements were recorded on a glide-snow avalanche prone slope above Davos, Switzerland. The dataset includes soil temperature, liquid water content, and matric potential at three depths, manual snow profiles, and simulated snow height, air temperature, and rain. Investigations based on this dataset were published in a 2025 research article in The Cryosphere.
Use Cases
- Modeling glide-snow avalanche release conditions based on soil moisture and temperature data.
- Analyzing the relationship between snow height, density, and avalanche occurrence based on manual snow profiles.
- Investigating the spatial distribution of interfacial water in avalanche-prone slopes based on soil matric potential measurements.
- Validating or calibrating snowpack simulation models based on the SNOWPACK-simulated snow height, air temperature, and rain data.
Strengths
- Data spans a multi-year period from November 2021 to June 2024.
- Includes measurements at three distinct soil depths (-5cm, -10cm, -20cm).
- Dataset is directly linked to a published 2025 research article in The Cryosphere.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to a single slope in Davos, Switzerland.
Provenance
- Source
- ENVIDAT
- Collection Method
- Field monitoring on the Seewer Berg slope.
- Time Range
- November 2021 to June 2024
- Freshness
- Last updated 2025-01-01 00:00:00; freshness should be verified.
- Geography
- Seewer Berg slope, Davos, Switzerland