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Meteorological and multi-scale topographic data from survey pole, UAV, TLS and ALS used to analyse glacier aerodynamic roughness on Hintereisferner glacier, Austria, August 2018 - VERSION 1.0

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. LiDAR data collected via terrestrial and airborne laser scanning. Fieldwork carried out at Hintereisferner glacier, in the Oetztal Alps region, Tyrol, Austria, from 1-15 August 2018 by Joshua Chambers, Thomas Smith and Mark Smith. Terrestrial laser scan (TLS) data collected by Rudolf Sailer. Airborne laser scan (ALS) data originally from Open Data Austria, see Sailer et al. (2012). One wind tower recorded for the entire study duration, the second was moved to different plots every ~4 days. Photogrammetric data were collected on 8, 10, 11, 12 and 13 August. TLS scans were split into upper- and lower-glacier, and completed on 3, 7, 12 and 16 August. Data were used to examine the relations between glacier aerodynamic roughness and sampling resolution, and to develop a correction factor for roughness derived from coarser resolution data.





Fieldwork was funded by an INTERACT Transnational Access grant awarded to Mark Smith under the European Union H2020 Grant Agreement No. 730938. Joshua Chambers is supported by a NERC PhD studentship (NE/L002574/1). Ivana Stiperski was funded by Austrian Science Fund (FWF) grant T781-N32.





***** PLEASE BE ADVISED TO USE VERSION 2.0 DATA *****





The VERSION 2.0 data set (see 'Related Data Set Metadata' link below) provides corrected glacier aerodynamic roughness calculated using the new model outlined in Chambers et al.

Simple

Date (Creation)
2020-10-27
Date (Revision)
2020-10-27
Date (Publication)
2020-10-27
Date (released)
2020-10-27
Edition

1.0

Unique resource identifier
https://doi.org/10.5285/4efaefac-b920-465b-90b9-5390d7fbbd26
Codespace

doi

Unique resource identifier
GB/NERC/BAS/PDC/01427
Codespace

https://data.bas.ac.uk/

Unique resource identifier
NE/L002574/1
Codespace

award

Other citation details

Please cite this item as: Chambers, J., Smith, M., Smith, T., Sailer, R., Quincey, D., Carrivick, J., Nicholson, L., Mertes, J., & Stiperski, I. (2020). Meteorological and multi-scale topographic data from survey pole, UAV, TLS and ALS used to analyse glacier aerodynamic roughness on Hintereisferner glacier, Austria, August 2018 - VERSION 1.0 (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/4efaefac-b920-465b-90b9-5390d7fbbd26

Credit

No credit.

Status
Completed
Point of contact
Organisation name Individual name Electronic mail address Role

University of Leeds

Chambers, Joshua Author

University of Leeds

Smith, Mark Author

University of Leeds

Smith, Thomas

Author

Universität Innsbruck

Sailer, Rudolf Author

University of Leeds

Quincey, Duncan Author

University of Leeds

Carrivick, Jonathan Author

Universität Innsbruck

Nicholson, Lindsey Author

Lund University

Mertes, Jordan

Author

Universität Innsbruck

Stiperski, Ivana Author
NERC EDS UK Polar Data Centre

PDCServiceDesk@bas.ac.uk

Point of contact
Maintenance and update frequency
As needed
Maintenance note
Completed
Global Change Master Directory (GCMD) Science Keywords
  • EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Air Temperature
  • EARTH SCIENCE > Atmosphere > Atmospheric Winds > Surface Winds
  • EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography
  • EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets
  • EARTH SCIENCE > Spectral/Engineering > Lidar
Theme
  • SfM

  • TLS

  • aerodynamic roughness

  • glacier

  • multi-scale

  • z0

Place
  • Hintereisferner, Ötztal Alps, Tyrol, Austria Europe

GEMET - INSPIRE themes, version 1.0

  • Atmospheric conditions
  • Elevation
Access constraints
Other restrictions
Other constraints
no limitations to public access
Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
License
Other constraints
Open Government Licence v3.0
Use constraints
Other restrictions
Other constraints

Data supplied under Open Government Licence v3.0

Use constraints
Other restrictions
Other constraints

No restrictions apply.

Unique resource identifier
url
Codespace

url

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
url
Codespace

url

Association Type
Cross reference
Unique resource identifier
url
Codespace

url

Association Type
Cross reference
Spatial representation type
Text, table
Language
English
Character set
UTF8
Topic category
  • Climatology, meteorology, atmosphere
  • Geoscientific information
  • Imagery base maps earth cover
N
S
E
W
thumbnail




Begin date
2006-08-01
End date
2012-10-31

Vertical extent

Minimum value
2507.0
Maximum value
3739.0

Vertical CS

No information provided.

Vertical datum

No information provided.
Supplemental Information

It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk.

Title

European Petroleum Survey Group (EPSG) Geodetic Parameter Registry

Date (Publication)
2008-11-12
Cited responsible party
Organisation name Individual name Electronic mail address Role

European Petroleum Survey Group

EPSGadministrator@iogp.org

Publisher
Unique resource identifier
urn:ogc:def:crs:EPSG::3031
Version

6.18.3

Distributor

Distributor contact
Organisation name Individual name Electronic mail address Role
NERC EDS UK Polar Data Centre

PDCServiceDesk@bas.ac.uk

Distributor
Distributor format
Name Version
text/plain
text/csv
image/tiff
Units of distribution

bytes

Transfer size
77175194
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=4efaefac-b920-465b-90b9-5390d7fbbd26

Get Data

Units of distribution

bytes

Transfer size
77175194
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=4efaefac-b920-465b-90b9-5390d7fbbd26

Get Data

Units of distribution

bytes

Transfer size
77175194
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=4efaefac-b920-465b-90b9-5390d7fbbd26

Get Data

Hierarchy level
Dataset
Statement

Methodology:

Instruments were placed at five levels on each tower (~0.3, 0.65, 1.22, 1.79 and 2.32 m above the surface, remeasured at each visit). For each, we used five NRG 40 cup anemometers, one NRG 200P wind vane and five shielded and passively-ventilated Extech RHT10 temperature and humidity loggers. 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.





For photogrammetric surveys, camera specifications and survey area geometry were used to calculate the footprint of each image, which determined the distance between images required to achieve 60-80% overlap, and the number of images needed for the survey area. Images were predominantly nadir and followed a regular grid pattern, with an additional ~10% of images taken obliquely (< 20° off nadir). All survey plots were marked out using a regular grid of ground control points (GCPs), the locations of which were recorded using a Leica GS10 differential GPS, with a sub-centimetre mean accuracy for each plot. Data were processed using Agisoft Photoscan Professional Edition Version 1.4.0. Dense point clouds were imported into CloudCompare 2.10 for manual cleaning, and digital elevation models were created using linear interpolation with nearest non-empty neighbours, ensuring a regular grid shape with the top of the grid aligned with the direction of flow (roughly South-North). 





A permanent in-situ Riegl VZ-6000 TLS was used to survey the majority of the glacier ablation zone using a near-infrared wavelength (1050 nm) suited to snow and ice surfaces (University of Innsbruck, 2020a). The TLS is housed in a climate-controlled container near the summit of "im Hinteren Eis" (46.79586° N, 10.78277° E, 3244 m a.s.l.). The point acquisition rate was approx. 23,000 points per second. Horizontal and vertical spatial resolution was ~0.17 m at 1000 m range, giving a theoretical density of 10 points per m2 mid-glacier, and 2 points per m2 at the head of the accumulation zone and near the terminus (University of Innsbruck, 2020b).





Regional (gridded) elevation data were acquired for the entire Austrian Alps at 10 m pixel-1 resolution (Open Data Austria, 2020). This regional product was created by interpolation of 2.5 m ALS data obtained during flights over the Ötztal Alps, Tyrol, from 2006-2012 (Fritzmann et al., 2011; Sailer et al., 2012; Fischer et al., 2015). ALTM 3100 and Gemini ALS sensors were used in the Tyrol area, with an average density of 0.25 points m-1. TLS and ALS data were processed in CloudCompare 2.10.

Data collection:

Instrumentation





NRG #40 cup anemometers



NRG 200P wind vane



Extech RHT10 temperature and humidity loggers



Campbell CR1000 data loggers



Leica GS10 differential GPS



DJI Phantom 3



Olympus OMD EM-10 camera



Riegl VZ-6000 Terrestrial Laser Scanner (TLS)



ALTM 3100 and Gemini Airborne Laser Scanner (ALS) sensors





Software





Agisoft PhotoScan Professional Edition (version 1.4.0)



CloudCompare 2.10



ArcGIS ArcMap 10.6



Matlab R2019b





Resolution





Small plots: DEMs at resolutions of 0.005, 0.01 and 0.05 m pixel-1



Large/UAV plot surveys: 0.01, 0.05, 0.1, 0.5 and 1 m pixel-1



Glacier-scale TLS/ALS: 5, 10, 20 and 30 m pixel-1

Data quality:

Wind speed is ±0.05 m s-1



Wind direction is ±1 %



Temperature is ±0.1 °C



GPS accuracy <1 cm



Photogrammetric 3D root mean square (RMS) error was ±0.03 m and RMS re-projection error was 1.66 pixels (2.6 µm)



NoData values used either NaN in Matlab or -32767 as is convention in ArcMap.

Metadata

File identifier
4efaefac-b920-465b-90b9-5390d7fbbd26 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2020-10-27
Metadata standard name

ISO 19115 Geographic Information - Metadata

Metadata standard version

ISO 19115:2003(E)

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS UK Polar Data Centre

polardatacentre@bas.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

SfM TLS aerodynamic roughness glacier multi-scale z0
GEMET - INSPIRE themes, version 1.0

Atmospheric conditions Elevation
Global Change Master Directory (GCMD) Science Keywords

EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Air Temperature EARTH SCIENCE > Atmosphere > Atmospheric Winds > Surface Winds EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography EARTH SCIENCE > Spectral/Engineering > Lidar


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