PERMATHERMAL provides raw temperature data from air, surface, and ground at different depths, collected at monitoring stations on Deception Island, Antarctica. The network, led by Dr. Miguel Ángel de Pablo of Universidad de Alcalá, began in 2000 and includes multiple stations for year-round data acquisition. The dataset was last updated in March 2023.
Use Cases
- Model permafrost temperature evolution using time-series air, surface, and ground temperature data.
- Analyze seasonal thawing cycles by correlating temperature data from different sensor depths.
- Study microclimate variations by comparing temperature records from different Crater Lake PT stations.
Strengths
- Data collection follows GCOS principles for climate monitoring.
- Network has been operational and expanding since the year 2000.
- Provides year-round, continuous temperature measurements from multiple stations.
Limitations
- The raw, unprocessed data requires significant cleaning and calibration for analysis.
- Specific sample size, geographic coverage beyond two islands, and sensor depth details are unknown.
Provenance
- Source
- PERMATHERMAL monitoring network led by Universidad de Alcalá (Spain).
- Collection Method
- Acquired from instruments with sensors at PT stations measuring air, surface, and ground temperature.
- Time Range
- Network operational since 2000; data collection is continuous.
- Freshness
- Data was last updated in March 2023.
- Geography
- Deception Island, South Shetland Archipelago, Antarctica.