Using near‐surface ground temperature data to derive snow insulation and melt indices for mountain permafrost applications

• Main Authors: Staub, Benno, Delaloye, Reynald
• Language: English
• Published: 2017
• Subjects: permafrost
• Online Access: http://doc.rero.ch/record/288639/files/Data_S1_R_functions.R.R; http://doc.rero.ch/record/288639/files/Table_S1.pdf; http://doc.rero.ch/record/288639/files/del_usn.pdf

The timing and duration of snow cover in areas of mountain permafrost affect the ground thermal regime by thermally insulating the ground from the atmosphere and modifying the radiation balance at the surface. Snow depth records, however, are sparse in high-mountain terrains. Here, we present data processing techniques to approximate the thermal insulation effect of snow cover. We propose some simple ‘snow thermal insulation indices’ using daily and weekly variations in ground surface temperatures (GSTs), as well as a ‘snow melt index’ that approximates the snow melt rate using a degree-day approach with air temperature during the zero curtain period. The indices consider point-specific characteristics and allow the reconstruction of past snow thermal conditions and snow melt rates using long GST time series. The application of these indices to GST monitoring data from the Swiss Alps revealed large spatial and temporal variability in the start and duration of the high-insulation period by snow and in the snow melt rate.