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
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
| Access Constraints: | No restrictions apply. |
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| Use Constraints: | This data is supplied under Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. |
| Creation Date: | 2020-01-07 |
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| Dataset Progress: | Complete |
| Dataset Language: | English |
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| Parameters: |
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| Personnel: | |
| Name | PDC BAS |
| Role(s) | Metadata Author |
| Organisation | British Antarctic Survey |
| Name | Joshua Chambers |
| Role(s) | Investigator, Technical Contact |
| Organisation | University of Leeds |
| Parent Dataset: | N/A |
| Reference: | Chambers, J. R., Smith, M. W., Quincey, D. J., Carrivick, J. L., Ross, A. N., & James, M. R. (2019). Glacial aerodynamic roughness estimates: uncertainty, sensitivity and precision in field measurements. Journal of Geophysical Research: Earth Surface. | |
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| 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. |
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| Lineage: | 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). |
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| Temporal Coverage: | |
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| Start Date | 2017-07-08 |
| End Date | 2017-07-19 |
| Spatial Coverage: | |
| Latitude | |
| Southernmost | 67.91667 |
| Northernmost | 67.91667 |
| Longitude | |
| Westernmost | 18.58333 |
| Easternmost | 18.58333 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Location: | |
| Location | Sweden |
| Detailed Location | Tarfala Valley |
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| 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 Storage: | Wind tower data are CSV files. DEMs are TIFF files, and point clouds are in PLY format. |
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