GNSS-IR for snow studies at PROMICE automatic weather station in Greenland
- 1Technical University of Denmark, Geodesy and Earth Observation, Denmark (trdhj@space.dtu.dk)
- 2Geological Survey of Denmark and Greenland, Glaciology and Climate, Denmark
The PROMICE project runs 27 Automatic Weather Stations (AWSs) in Greenland. Most of these are located in the ablation zone of the Greenland ice sheet. From March to September 2020 a multi-frequency Global Navigation Satellite System (GNSS) antenna was installed on the AWS NUK-K at a small local glacier outside Nuuk with the purpose of testing the setup for high precision positioning. Due to the remote location, power supply is limited and the GNSS setup is constructed to minimize the power consumption. Therefore, data collection is limited to three hours each day, the antenna is passive and the data is stored on a local drive and not transmitted.
This study tests if the setup is feasible for GNSS Interferometric Reflectometry (GNSS-IR) measurements of snow depth. The method estimates the average snow depth over an area on the order 10-20 • 103 m2. GNSS-IR analysis shows good reflections during most of the covered time period. A sonic ranger is mounted on the PROMICE AWSs and used for measurement of snow depth. The GNSS reflector heights are compared to measurements from the sonic ranger. Though some differences are present, the GNSS-IR estimates capture the snow melt, as measured by the sonic ranger, well. The quality of the reflections decreases towards the end of the data series when the snow is melted. We expect that this is due to a rougher ice surface. However, useful reflections are still obtained but the uncertainty on the daily estimates increase significantly. The transition from snow to ice surface is confirmed by an albedo estimate based on measurements of shortwave radiation at the AWS.
How to cite: Dahl-Jensen, T., Khan, S. A., Citterio, M., Jakobsen, J., and Ahlstrøm, A.: GNSS-IR for snow studies at PROMICE automatic weather station in Greenland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3609, https://doi.org/10.5194/egusphere-egu22-3609, 2022.