Eddy-covariance measurements from two turbulence towers were collected during the snow ablation periods of 2014 to 2016. Data includes 20 Hz turbulence readings processed into quality-controlled 30-minute average fluxes using the Biomicrometeorology flux software. The dataset was contributed by ENVIDAT and last updated in 2017.
Use Cases
- Analyze 30-minute averaged turbulence fluxes to model surface energy exchange over melting snow.
- Compare ultrasonic anemometer measurements from towers 5 meters apart to study the impact of extreme land-surface heterogeneity.
- Use QA/QC flags and processed co-spectra to assess data quality for micrometeorological studies.
- Investigate the effect of changing sensor height and setup between years on measured wind and flux variables.
Strengths
- Data spans three consecutive ablation seasons (2014-2016) for temporal analysis.
- High-frequency 20 Hz raw measurements processed with established correction routines (despiking, time-lag, frequency response, 3D rotation).
- Includes quality assurance flags based on established micrometeorological standards (Foken et al., 2004).
Limitations
- Sample size is limited to a single study location with two towers, reducing generalizability.
- The dataset's temporal coverage ended in 2016, which may limit relevance for recent climate trends.
- Specific row counts and complete column details are unknown, complicating initial assessment.
Provenance
- Source
- ENVIDAT
- Collection Method
- Field measurements from instrumented turbulence towers using ultrasonic anemometers (YOUNG, CSAT3, DA-600).
- Time Range
- Snow ablation periods of 2014, 2015, and 2016.
- Freshness
- null
- Geography
- A long-lasting snow patch in Switzerland (Swiss coordinates: 790191/176689).