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Thermal structure of S Spitsbergen glaciers

Thermal structure of selected S Spitsbergen glaciers was derived from ground based radio-echo sounding (RES). The division between cold and temperate ice layers is based on indirect interpretation of GPR (ground penetrating radar) image. Cold ice layer is virtually “transparent” for radio waves, while temperate ice layer is characterised by numerous diffractions on water inclusions.

The database contains results from 479.7 km of RES profiles acquired in 2007-2014 on 12 glaciers in Wedel Jarlsberg Land and Torell Land (S Spitsbergen) including: Amundsenisen, Austre Torellbreen, Vestre Torellbreen, Hansbreen, Storbreen, Hornbreen, Hambergbreen, Recherchebreen, Scottbreen, Renardbreen, Werenskioldbreen and Ariebreen. Basic characteristics of investigated glaciers and its thermal structure is provided in table 1 (supplementary information). The surveys used GPR antennas in range 25-200 MHz, selected according to expected ice depth. Thanks to that on 87% of the profiles ice/bed interface has been identified. The radar system was pulled behind the snowmobile moving with velocity c. 20 km h-1. Applying trace interval 0.2-1.0 s, trace-to-trace distance was in range 1-5m. Trace positions were acquired by GNSS receivers working in navigation or differential mode with respective accuracy 3.0 m and 0.1m. RES data were processed applying standard filtering procedure (DC-offset, time-zero adjustment, 2-D filter, amplitude correction and bandpass filtering). Time-to-depth conversion used average radio wave velocity (RWV) for glacier ice 16.4 cm ns-1, 16.7 and 16.1 for cold and temperate ice respectively, based on CMP survey. More precise description of data collection, processing and quality is provided by Grabiec (2017).

In S Spitsbergen polythermal glaciers are predominant. 57.8% of surveyed profiles consist of both: temperate and cold ice layers; 22.7% profiles is entirely temperate while 6.6% contains cold ice only (remaining profiles have undefined thermal structure). Studied glaciers represent broad spectrum of polythermal structure with cold-to-temperate ice ratio from 99:1% (Ariebreen) to 2:98% (accumulation zone of Vestre Torellbreen).

The data were collected and processed under following projects:

• IPY/269/2006 GLACIODYN The dynamic response of Arctic glaciers to global warming

• UE FP7-ENV-2008-1 ice2sea Estimating the future contribution of continental ice to sea-level rise

• PNRF-22-AI-1/07 AWAKE Arctic Climate and Environment of the Nordic Seas and the Svalbard – Greenland Area

• NCBiR/PolarCLIMATE-2009/2-1/2010 SvalGlac Sensitivity of Svalbard glaciers to climate change

• Pol-Nor/198675/17/2013 AWAKE-2 Arctic climate system study of ocean, sea ice and glaciers interactions in Svalbard area

• 03/KNOW2/2014 KNOW Leading National Research Centre

Reference:

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

  • Identification
  • Distribution
  • Quality
  • Spatial rep.
  • Ref. system
  • Content
  • Portrayal
  • Metadata
  • Md. constraints
  • Md. maintenance
  • Schema info

Identification

Data identification

Citation

Date (Publication)
2020-12
Edition
https://ppdb.us.edu.pl/demodem/editioin
Purpose
scientific and didactic
Status
On going
Author
  University of Silesia - Mariusz Grabiec ( )
Maintenance and update frequency
Irregular
Theme
  • cold ice, temperate ice, thermal regime, GPR, RES
Place
  • Svalbard, Spitsbergen, High Arctic, Wedel Jarlsberg Land, Torell Land

Legal constraints

Access constraints
Copyright
Use constraints
Copyright
Spatial representation type
Vector
Metadata language
English
Character set
UTF8
Topic category
  • Geoscientific information
Begin date
2008-01-01
End date
2018-12-31
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S
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Distribution

Digital transfer options

OnLine resource
Thermal structure of glaciers in Wedel Jarlsberg Land and Torell Land (S Spitsbergen) ( WWW:DOWNLOAD-1.0-http--download )

Dataset contains vector data of thermal structure of glaciers derived from RES.

Data attributes:

Id – defines glacier surveyed;

Northing, Easting – coordinates;

ti_ - percentage of temperate ice in the ice column

ci_m_pub – cold ice depth in 10 m intervals (eg. “20” means depth value in 11-20 m range, “30” means depth value in 21-30 m range) expressed in [m];

ti_m_pub – temperate ice depth in 10 m intervals (eg. “20” means depth value in 11-20 m range, “30” means depth value in 21-30 m range) expressed in [m].

For data in more accurate spatial (point-to-point distance) and vertical (specific depth of layers) resolution please contact mariusz.grabiec@us.edu.pl

OnLine resource
The percentage of temperate ice after Grabiec (2017). ( WWW:DOWNLOAD-1.0-http--download )

Glacier basin outlines based on Żołna 2012 and Błaszczyk et al. 2013.

Błaszczyk M., Jania J.A., Kolondra L., 2013: Fluctuations of tidewater glaciers in Hornsund Fiord (Southern Svalbard) since the beginning of the 20th century. “Polish Polar Research”, Vol. 34, No. 4, s. 327—352.

Żołna G., 2012: Wykorzystanie teledetekcji oraz metod GIS dla zbadania wybranych cech lodowcow Spitsbergenu. Praca magisterska. Manuskrypt. Wydział Nauk o Ziemi, Uniwersytet Śląski w Katowicach, 75 s.

OnLine resource
Characteristics of thermal structure of glaciers along RES profiles (after Grabiec 2017) ( WWW:DOWNLOAD-1.0-http--download )
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
WGS84 UTM33X
 

Metadata

Metadata

File identifier
a1105d69-5ed1-43ce-a546-6dcf6f907778 XML
Metadata language
English
Character set
UTF8
Date stamp
2020-12-09T11:47:14
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
  University of Silesia - Mariusz Grabiec ( )
 
 

Overviews

overview
The percentage of temperate ice after Grabiec (2017).

Spatial extent

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Keywords

cold ice, temperate ice, thermal regime, GPR, RES

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