Discovery Metadata System

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
GB/NERC/BAS/PDC/01290

Summary

Abstract:
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

Keywords:
SfM, aerodynamic roughness, glacier, microtopography, profiles, z0

Top


Citation

Chambers, J. (2020). 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 (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/52431e03-94c8-4760-9bce-24e511d8d24b

Top


Access Data

GET DATA

RELATED DATA SET METADATA

Top


Constraints

Top


Basic Information

Top


Additional Information

Top


Locality

Top


Instrumentation


Top


Storage


Top