Methodology:

One wind tower was placed on each glacier with instruments at five levels (Stor: 0.35, 0.72, 1.27, 1.85 and 2.39 m, SK: 0.35, 0.69, 1.30, 1.80 and 2.43 m). On each tower, wind speed was recorded using five NRG #40 cup anemometers, wind direction with one NRG 200P wind vane, and air temperature with five shielded and passively-ventilated TinyTag TGP-4017 sensors. Measurements were taken at one-minute intervals. Instrument heights were re-measured at each repeat visit. Data were recorded on Campbell CR1000s with a 12 V battery stored at the base of each tower.

Wind tower data were processed in MS Excel and then MATLAB. Photogrammetry data were processed in Agisoft Photoscan and CloudCompare. Further details can be found in Chambers et al. (in press).

Data collection:

Instrumentation:

NRG #40 cup anemometers

NRG 200P wind vane

TinyTag TGP-4017 temperature loggers

Campbell CR1000 data loggers

DJI Phantom 3

Panasonic DMC-TZ60 digital camera

Resolution:

Wind speed is plus-minus 0.05 ms-1

Temperature is plus-minus 0.01degC

Wind direction is plus-minus 1 percent

Software:

Agisoft PhotoScan Professional Edition (version 1.4.0)

CloudCompare 2.10

Data quality:

Not included in the cleaned/processed datasets are data from Stor for days 1-8. There were missing sensor height measurements on those days, and the wind tower was moved on day 8.

Photogrammetry data processing follows steps outlined in James et al. (2017).

Missing values are given the character NaN (not a number) as is the convention in MATLAB.