PERMATHERMAL network provides raw soils heat flow data acquired hourly since 2024 from PT stations at Deception Island, Antarctica. The monitoring network, led by Dr. Miguel Ángel de Pablo of Universidad de Alcalá, began in 2000 and tracks permafrost temperature and active layer thickness across Antarctic islands.
Use Cases
- Model permafrost temperature evolution using hourly heat flow measurements from PT stations.
- Analyze seasonal thaw cycles by correlating heat flow data with active layer thickness measurements from CALM stations.
- Study geothermal activity at Deception Island by examining ground temperature data at different depths.
- Investigate snow depth impact on ground thermal insulation using concurrent sensor data from the monitoring network.
Strengths
- Hourly temporal resolution provides high-frequency data for diurnal cycle analysis.
- Long-term network operational since 2000, offering potential for multi-decadal trend studies.
Limitations
- Sample size is limited to specific stations at Deception and Livingston Islands, reducing geographic representativeness.
- Data described is raw and not processed, requiring significant cleaning and calibration for analysis.
- Column specifics and data volume are unknown, complicating assessment of feature richness.
Provenance
- Source
- PERMATHERMAL monitoring network led by Dr. Miguel Ángel de Pablo, Universidad de Alcalá (Spain), via SCIOPS organization.
- Collection Method
- Data acquired from PT stations with sensors measuring temperature in air, surface, and ground at different depths, plus snow depth.
- Time Range
- Network operational since 2000; specific heat flow data collection started in 2024.
- Freshness
- Data is acquired hourly and was last updated in February 2024.
- Geography
- Deception Island, South Shetland Archipelago, Antarctica, specifically the Crater Lake (CL) station.