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Ice thickness

8 record(s)

 

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From 1 - 8 / 8
  • The dataset lists information about boreholes drilled by hot water into Khumbu Glacier, Nepal. Boreholes were drilled in May 2017 and May 2018 to investigate the internal properties of Khumbu Glacier, specifically ice thickness, temperature, deformation and structure, as part of the NERC-funded ''EverDrill'' research project. The information provided includes each borehole''s ID, length, location (at the time of drilling), elevation and instrumentation. Funding was provided by the NERC grant NE/P00265X/1 and NE/P002021/1.

  • This gridded dataset provides geometry (ice thickness and bedrock topography) covering the Pine Island Glacier catchment. It has been created using the principle of mass conservation, given observed fields of velocity, surface elevation change and surface mass balance, together with sparse ice thickness data measured along airborne radar flight-lines. Previous ice flow modelling studies show that gridded geometry products that use traditional interpolation techniques (e.g. Bedmap2) can result in a spurious thickening tendency near the grounding line of Pine Island Glacier. Removing the cause of this thickening signal, in order to more accurately model ice flow dynamics, has been the motivation for creating a new geometry that is consistent with the conservation of mass. This data was funded by a PhD project within the iSTAR-C programme (with NERC grant reference NE/J005738/1).

  • Survey flying (using Basler BT-67 aircraft C-GJKB) was carried out between 1 May 2014 and 12 May 2014 to measure the ice thickness, surface elevation and magnetic anomaly of the Queen Elizabeth Islands, Nunavut, Canada. The primary radar instrument was the UTIG-JPL High-Capability Radar Sounder (HICARS: Peters et al., 2005). Level 1 radar data products are hosted at NSIDC. Surface elevation data was acquired by a fixed beam Riegl laser altimeter using a solid-state infrared lasar firing at 100 Hz. A tail boom-mounted cesium vapor total field magnetometer specially configured for the aircraft measured the magnetic anomaly. Funding was provided by NERC grants NE/K004999/1, NE/K004956/1 and NE/K004956/2.

  • This data are derived from single point seismic data collected across the Filchner-Ronne Ice Shelf. The seismic data were collected over the course of three seasons by a number of field parties, consisting of two main surveys between the 15/16 and 16/17 austral summers and several smaller surveys, as part of a joint initiative between the British Antarctic Survey (BAS) and the Alfred-Wegener-Institute (AWI) in the framework of the "Filchner Ice Shelf System" (FISS) and the "Filchner Ice Shelf Project" (FISP). A total of 256 point seismic measurements were made, of which 248 had clearly visible reflectors and were deemed usable. Each data point consists of a location, together with measurements of ice thickness and water column thickness. These data were collected as part of the FISS NERC large grant, project number NE/L013770/1.

  • This data set contains bed and surface elevation picks derived from airborne radar collected during the WISE/ISODYN project. This collaborative UK/Italian project collected ~ 61000 line km of new aerogeophysical data during the 2005/2006 austral summer, over the previously poorly surveyed Wilkes subglacial basin, Dome C, George V Land and Northern Victoria Land.

  • Between mid-December 2010 and mid-January 2011, ~25,000km of aerogeophysical data were collected from the Institute and Moller ice streams, West Antarctica. Data coverage extended from the grounding lines to the ice divide, with a high resolution grid centered over the region of most pronounced ice flow acceleration. Data was collected using the BAS aerogeophysical equipped Twin Otter aircraft "Bravo Lima". Primary data types collected were ice-sounding radar, laser ranging, airborne gravity and airborne magnetics; a processed ice thickness dataset is also available. The data were acquired during twenty eight survey flights (sixteen flown from remote field camp C110, ten from Patriot Hills and two "transit" flights). Funding was provided by the UK NERC AFI grant NE/G013071/1.

  • SAR-processed two-dimensional radargram data in SEG-Y format acquired from the Institute and Moller ice streams, West Antarctica between mid-December 2010 and mid-January 2011. Data were collected using the British Antarctic Survey (BAS) Polarimetric radar Airborne Science Instrument (PASIN) radar, operated at a centre frequency of 150 MHz, and installed on the BAS Twin Otter aircraft "Bravo Lima". In total, ~25,000km of aerogeophysical data were collected, with coverage extending from the ice stream grounding zone to the ice divide. A high-resolution grid, with a line-spacing of 7.5 x 25 km, was acquired over the central parts of the ice stream catchments. Data were acquired during twenty-eight survey flights (sixteen flown from remote field camp C110, ten from Patriot Hills and two "transit" flights). Funding for this data acquisition was provided by the UK NERC AFI grant NE/G013071/1. These data should be cited as follows: Siegert, Martin et al. (2017); Synthetic-aperture radar (SAR) processed airborne radio-echo sounding data from the Institute and Moller ice streams, West Antarctica, 2010-11; Polar Data Centre, Natural Environment Research Council, UK; doi:10.5285/8a975b9e-f18c-4c51-9bdb-b00b82da52b8

  • Ground-penetrating radar (GPR) was used to test glacier ice thickness/glacier bed detectability on debris-covered Himalayan glaciers at a range of frequencies in glacier long- and cross- profiles and at static points. The survey sites were of the Lirung and Langtang Glaciers in the Langtang National Park, Nepal, where debris cover thickness varied from centimetres to several metres. The radar used was the BAS DELORES dipole pulse radar system, operating at 5MHz, 10MHz, 20MHZ and 40MHz. Data were acquired as a stop-go survey at 2-4m intervals on partially snow-covered and entirely debris-covered glacier surfaces in temperatures close to freezing, with a diurnal freeze-thaw cycle. Funding was provided by the NERC grant NE/L013258/1.