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Snow cover – Hornsund glaciers

Snow depth data series contain records obtained by high frequency GPR on selected glaciers of Hornsund area (S Svalbard) since 2008. Currently the largest collection regards Hansbreen. Data for other glaciers are successively appended. The GPR survey on Hansbreen is regularly carried out approximately along the same tracks. Due to dynamically changing glacier surface topography influencing different survey abilities the some parts of profiles are modified in consecutive seasons. The total distance of Hansbreen profiles are as follows (Fig.1): 63.9 km (2008), 117,5 km (2011), 105,1 km (2013), 103,9 km (2014), 98,5 km (2015), 91,1 km (2016), 101,0 km (2017) and 108,4 km (2018).
  • Identification
  • Distribution
  • Quality
  • Spatial rep.
  • Ref. system
  • Content
  • Portrayal
  • Metadata
  • Md. constraints
  • Md. maintenance
  • Schema info

Identification

Data identification

Citation

Date (Publication)
2018-11-27
Edition
https://ppdb.us.edu.pl/demodem/editioin
Purpose
scientific and didactic
Status
On going
Owner
  University of Silesia - Mariusz Grabiec ( )
Maintenance and update frequency
As needed
Theme
  • snow, GPR, Hansbreen
Place
  • Spitsbergen, Svalbard, Norway
Projects
  • SESS_2019

Legal constraints

Access constraints
Intellectual property rights
Use constraints
Intellectual property rights
Spatial representation type
Text, table
Metadata language
English
Character set
UTF8
Topic category
  • Environment
Begin date
2008-01-01
End date
2017-12-31
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Supplemental Information

References:

Grabiec M. 2017: Stan i współczesne zmiany systemów lodowcowych południowego Spitsbergenu w świetle badań metodami radarowymi. Wydawnictwo Uniwersytetu Śląskiego, 328 s.

Grabiec M., Puczko D., Budzik T., Gajek G. 2011: Snow distribution patterns on Svalbard glaciers derived from radio-echo soundings. Polish Polar Research, 32(4): 393-421.

Laska M., Grabiec M., Ignatiuk D., Budzik T. 2017: Snow deposition patterns on southern Spitsbergen glaciers, Svalbard, in relation to recent meteorological conditions and local topography. Geografiska Annaler: Series A, Physical Geography 99(3), 262-287.

800 MHz shielded antenna used in the GPR survey was fasten to the pulka, whereas control unit and data collection system were placed on the sledge in the front. The measuring set was pulled behind the snowmobile and permanently controlled by the operator. The radar impulse was in constant time interval of 0.2 s (or 0.1 s in some detailed experiments carried out in 2011) what translates on average trace to trace distance c. 1.08 m (s.d. 0.44) (Grabiec 2017). Applied time window was around 80 ns and 1024 samples per trace (other sampling settings possible) (Grabiec 2017). Most coordinates of GPR traces were determined by dual-frequency GPS in postprocessing with average s.d. in XY and Z planes of 0.030 m and 0.100 m respectively (Grabiec 2017). On Tuvbreen and Deileggbreen exceptionally in 2013 when precise positioning was not available due to technical problems, coordinates of navigation class have been used (Grabiec 2017).

Collected GPR data have been processed including coordinates correction, DC removal, time-zero correction, bandpass filtering and signal amplification. Then the time data have been converted into depth scale applying radio-wave velocity (RWV) 0.21 m ns-1 (Grabiec et al. 2011) (see. Fig.2). Time-to-depth conversion was validated by comparing snow depth retrieved from radio echo-sounding data with in-situ snow pits (Laska et al. 2017, Grabiec 2017). As snow records obtained by different methods were usually collected not exactly in the same time and place, depth differences of few centimetres are acceptable.

The ice-snow interface on GPR profile was determined semi-automatically. The function used connects points marked along the same phase of consecutive traces. The accuracy has been estimated as the average standard deviation from five times repeated picking of ice-snow interface along GPR profile from the front to the icedivide on Hansbreen in 2011 (along black dotted line on Fig.2). The average s.d. along the profile was 0.51 ns (0,053 m); in ablation area: 0.43 ns and increased to 0.62 ns in accumulation zone (Grabiec 2017). Larger uncertainty of snow depth determination refers to areas where snow base is ambiguous, eg. crevassed areas filed with snow, superimposed ice and percolation zones and generally accumulation areas. The snow depth accuracy is also affected by the GPR vertical resolution that is 0.066m (assuming ¼ of the wavelength). Description of data collection and processing after Grabiec (2017).

 

Distribution

Digital transfer options

OnLine resource
Snow distribution on Hansbreen at the end of accumulation seasons 2008 – 2017.jpg ( WWW:DOWNLOAD-1.0-http--download )

Snow distribution on Hansbreen at the end of accumulation seasons 2008 – 2017

OnLine resource
Basic characteristics of snow cover (2008-2018).pdf ( WWW:DOWNLOAD-1.0-http--download )

Basic characteristics of snow cover (2008-2018)

OnLine resource
Hansbreen_2008.csv ( WWW:DOWNLOAD-1.0-http--download )

Hansbreen Snow Depth 2008

OnLine resource
Hansbreen_2011.csv ( WWW:DOWNLOAD-1.0-http--download )

Hansbreen Snow Depth 2011

OnLine resource
Hansbreen_2013.csv ( WWW:DOWNLOAD-1.0-http--download )

Hansbreen Snow Depth 2013

OnLine resource
Hansbreen_2014.csv ( WWW:DOWNLOAD-1.0-http--download )

Hansbreen Snow Depth 2014

OnLine resource
Hansbreen_2015.csv ( WWW:DOWNLOAD-1.0-http--download )

Hansbreen Snow Depth 2015

OnLine resource
Hansbreen_2016.csv ( WWW:DOWNLOAD-1.0-http--download )

Hansbreen Snow Depth 2016

OnLine resource
Hansbreen_2017.csv ( WWW:DOWNLOAD-1.0-http--download )

Hansbreen Snow Depth 2017

OnLine resource
Hansbreen_2018.csv ( WWW:DOWNLOAD-1.0-http--download )

Hansbreen Snow Depth 2018

OnLine resource
Extended human readable information about the dataset ( WWW:LINK-1.0-http--link )

Extended human readable information about the dataset

 

Quality

Data quality

Hierarchy level
Dataset
 

Ref. system

Reference system identifier
WGS 1984
 

Metadata

Metadata

File identifier
1be8f239-d91a-4abd-9c3c-e66792bd9c89 XML
Metadata language
English
Character set
UTF8
Date stamp
2021-02-22T10:51:01
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
  University of Silesia - Mariusz Grabiec ( )
 
 

Overviews

overview

Spatial extent

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Keywords

snow, GPR, Hansbreen
Projects
SESS_2019

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