Meteorological data from wind towers and photogrammetric data from survey pole and UAV used to estimate glacier aerodynamic roughness in Tarfala valley, Sweden, collected July 2017

• Main Author: Chambers, Joshua
• Format: Dataset
• Language: English
• Published: UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation 2020
• Subjects: "EARTH SCIENCE","ATMOSPHERE","ATMOSPHERIC TEMPERATURE","SURFACE TEMPERATURE","AIR TEMPERATURE"; "EARTH SCIENCE","CRYOSPHERE","GLACIERS/ICE SHEETS","GLACIER TOPOGRAPHY/ICE SHEET TOPOGRAPHY"; "EARTH SCIENCE","CRYOSPHERE","GLACIERS/ICE SHEETS","GLACIERS"; "EARTH SCIENCE","TERRESTRIAL HYDROSPHERE","GLACIERS/ICE SHEETS","GLACIER TOPOGRAPHY/ICE SHEET TOPOGRAPHY"; "EARTH SCIENCE","TERRESTRIAL HYDROSPHERE","GLACIERS/ICE SHEETS","GLACIERS"; "EARTH SCIENCE","SPECTRAL/ENGINEERING","VISIBLE WAVELENGTHS","VISIBLE IMAGERY"; "EARTH SCIENCE","SPECTRAL/ENGINEERING","VISIBLE WAVELENGTHS","VISIBLE RADIANCE"; "EARTH SCIENCE","ATMOSPHERE","ATMOSPHERIC WINDS"; SfM; aerodynamic roughness; glacier; microtopography; profiles; z0; Arctic; Tarfala; Ice Sheet
• Online Access: https://dx.doi.org/10.5285/52431e03-94c8-4760-9bce-24e511d8d24b; https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01290

Meteorological variables (wind speed, air temperature and wind direction) were collected using two wind towers. Photogrammetric data were collected using a pole-mounted digital camera and DJI Phantom 3 UAV. Sites were Storglaciaren and Sydostra Kaskasatjakkaglaciaren, both in the Tarfala Valley in Arctic Sweden. Fieldwork was carried out between the 8th and 20th of July 2017, by Mark Smith, Duncan Quincey and Jonathan Carrivick. Wind towers recorded data continuously for the study period, and photogrammetric data were collected from each site on alternate days. Data from both sources were used to estimate glacier aerodynamic roughness (z0) for a method comparison. Funding was provided by NERC DTP grant NE/L002574/1 : 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). : 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 : 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.