Dataset for: Passive solar thermal management for Antarctic surface equipment..

Published: 30 June 2026| Version 1 | DOI: 10.17632/kyzzhww4m9.1
Contributor:
Da Gong

Description

This dataset supports the findings of the study “Passive solar thermal management for Antarctic surface equipment: field validation and design implications for low-fossil-energy camps”. The data were collected during a 22-day field campaign from 4 to 25 January 2026 at the Qilin Subglacial Lake drilling camp (73.4317° S, 80.5261° E; ice elevation approximately 2945 m), East Antarctica. The dataset includes three files: Qilin_camp_temperature_5min.xlsx – 5-minute interval indoor and outdoor air temperatures recorded using PT100 sensors (accuracy ±0.1 °C) over the 22-day period. Qilin_camp_shortwave_radiation_hourly.xlsx – Hourly downward shortwave radiation data obtained from the on-site weather station. Qilin_camp_wind_speed_hourly.xlsx – Hourly wind speed data at 2 m and 4 m heights from the on-site weather station. All data are provided as Microsoft Excel (.xlsx) files. The outdoor temperature sensor had no independent radiation shield; however, the data were used primarily for calculating the indoor-outdoor temperature difference (ΔT), which is the key metric in the study. For further details on data processing and analysis, please refer to the accompanying publication or contact the corresponding author (fxp@jlu.edu.cn).

Files

Steps to reproduce

Temperature data were recorded at 5‑min intervals using PT100 sensors for both indoor and outdoor air temperatures at the Qilin camp. Downward shortwave radiation and wind speed (at 2 m and 4 m heights) were recorded hourly by the on‑site weather station. To align the time axes: hourly radiation and wind data were matched to the corresponding hourly time stamps. The 5‑min temperature data were then extracted at each hour time point (e.g., at 00:00, 01:00, 02:00, ...), rather than averaged over the hour, to preserve the instantaneous temperature values corresponding to the radiation and wind measurements. All data were compiled and processed in Microsoft Excel. The key derived variable is the indoor‑outdoor temperature difference (ΔT), which was calculated by subtracting the outdoor temperature from the indoor temperature at each time step.

Institutions

Categories

Earth Sciences, Atmospheric Science, Environmental Science, Solar Radiation, Renewable Energy

Licence