Keyword

Antarctic Peninsula

33 record(s)
 
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  • The cosmogenic nuclide dataset contains 15 x 10Be, 11 x 26Al and 14 x 21Ne cosmogenic nuclide concentrations for 9 bedrock and 6 boulder samples. Samples were collected by Rebecca Rixon in the austral summer of 2008/9 on the Wilkins Coast along a transect from Mount Faith in the Eternity Range via Mount Sullivan to Engels Peaks. Sample coordinates and elevations are provided in the data set, as are sample type and lithology. This work was funded under NERC Cosmogenic Isotope Analysis Allocation Nos. 9067.0409 and 9100.1010

  • A geographic database of lakes on the Antarctic Peninsula compiled over the past five years from a number of information sources: satellite images, aerial photography, old maps and reports. The database fields include: Lake unique id; Name; location; imager reference/how identified; locality; size (longest axis); area; type (as per Hutchinson's lake classification); reference - any existing scientific work on the lake; salinity; depth; x co-ordinate; y co-ordinate. Many of the lakes are previously unknown, and very few have been studied before. The list represents the first attempt to collate all the lakes in the area into one usable dataset. The data is available as a down-loadable text file with point co-ordinates, or as a polygon coverage downloadable from the Antarctic Digital database.

  • This archive is a suite of ground penetrating radar (GPR) data acquired by Project MIDAS during field campaigns on Larsen C, in 2014 and 2015. All data were acquired with a Sensors&Software pulsEKKO PRO GPR system, fitted with antennas of 200 MHz centre-frequency. The system was towed behind a snowmobile, with distances recorded with GPS. These data are part of the NERC-funded MIDAS ('Impact of surface melt and ponding on ice shelf dynamics and stability') research project, with grant references NE/L006707/1 and NE/L005409/1. Other MIDAS data are available.

  • Firstly, simulations of surface pressure, 10 m zonal wind speed, 10 m meridional wind speed, 1.5 m air temperature, and 1.5 m specific humidity over the Larsen C Ice Shelf for the duration of the OFCAP (Orographic Flows and the Climate of the Antarctic Peninsula) field campaign from 8 January 2011 to 8 February 2011 were conducted using the regional atmosphere-only configuration of the Met Office Unified Model (MetUM) at 4 km grid spacing by the British Antarctic Survey, Cambridge, UK. The datasets produced were necessary to compare with corresponding measurements derived from five Automatic Weather Stations (AWSs) distributed across the Larsen C Ice Shelf to evaluate the main biases in the simulations. Secondly, further MetUM simulations at grid spacings of 1.5 and 0.5 km of a foehn wind event that occurred on 27 January 2011 were conducted, with the datasets produced used to compare results at 4, 1.5 and 0.5 km grid spacing and examine whether the added benefit of sub-kilometre scale grid spacing improves the model representation of foehn winds. Thirdly, a simulation of the foehn wind event on 27 January 2011 using the MetUM at 4 km grid spacing but replacing the 'sharp' stability function used by the boundary layer scheme with the 'long-tail' stability function were also conducted, with the dataset produced used to examine the impact of stronger turbulent mixing for statically stable conditions on the model representation of foehn winds. Funding was provided by NERC grant NE/G014124/1.

  • Airborne magnetic data provides insight into the subsurface geology and tectonic history. This dataset includes processed airborne magnetic data collected over Marguerite Bay during the 2023/2024 Antarctic field season. This survey was carried out as part of a wider UKRI Innovate UK Future Flight-3 SWARM project in collaboration with Windracers Ltd to demonstrate their Ultra Uncrewed Aerial Vehicle (UAV) as a platform for environmental science. As part of this project ~1600 km of new high resolution aeromagnetic data with a ground clearance of 500m was collected around Rothera research station, West Antarctica. Data were acquired using a GEMSys GSMP-35U UAV magnetometer mounted on a Windracers Ultra UAV. Magnetic line data is provided as comma separated ASCII file. This study was funded by Innovate UK through their Future flight challenge support for the "Protecting environments with unmanned aerial vehicle swarms" project (reference: 10023377). We thank BAS operations for their support and specifically the BAS air unit and ground support staff whose close cooperation and engagement with the UAV deployment made the project successful. We also thank staff at Windracers and Distributed avionics who provided remote support for UAV operations across the field season.

  • Airborne gravity data provides insight into the regional subsurface geology and tectonic history. This dataset includes processed airborne data collected over Marguerite Bay using an iCorous strapdown gravity sensor. The gravity sensor was mounted in a Windracers Ultra UAV, serial TD-02. Gravity data was collected at a mean altitude of 500 m on nine flights between 120 and 260 km long, originating from Rothera Research Station. The flight pattern covered an area of 24 km by 75 km, with lines spaced 2 km apart. Data has an along line resolution of ~2 km. The survey targeted a tectonic break between different sectors of the Antarctic Peninsula identified in existing magnetic data. The survey was flown as part of the Innovate UK SWARM project demonstrating the utility of the Windracers Ultra as a platform for environmental science. This study was funded by Innovate UK through their Future flight challenge support for the "Protecting environments with unmanned aerial vehicle swarms" project (reference: 10023377). We thank BAS operations for their support and specifically the BAS air unit and ground support staff whose close cooperation and engagement with the UAV deployment made the project successful. We also thank staff at Windracers and Distributed avionics who provided remote support for UAV operations across the field season.

  • Three datasets of melt season duration in days covering the Antarctic Peninsula for the austral yeas of 2017/2018, 2018/2019 and 2019/2020. The datasets are based on ASCAT GDS Level 1 Sigma0 Swath Grid data from the EUMETSAT archive (archive.eumetsat.int/usc/) and extend an earlier time series based on enhanced QuikSCAT and ASCAT data (doi:10.5285/e3616d28-759e-4cca-8fae-fe398f9552ba). The data are supplied as GeoTIFFs. Funding was provided from the NERC grant NE/L005409/1.

  • Aeromagnetic datasets are available for surveys over two parts of Adelaide Island- Fuchs ice piedmont at the northern end of the island and a high resolution survey grid to the south (HRAM). Data were acquired using scintrex cesium magnetometers mounted on the BAS aerogeophysical equipped Twin Otter in 2011. Data are provided as XYZ ASCII line data. This study is an output of the British Antarctic Survey (BAS) Natural Environment Research Council (NERC) Core Programme.

  • This dataset provides an annual isotope record from the Gomez (GZ07) ice core, dating back to the 1850s. The 136 m core was drilled on the South-western Antarctic Peninsula, during January 2007. We present a new 150-year, high-resolution, stable isotope record (delta-O-18) from the Gomez ice core, drilled on the data sparse south western Antarctic Peninsula. The record is highly correlated with satellite-derived temperature reconstructions and instrumental records from Faraday station on the north west coast, thus making it a robust proxy for local and regional temperatures since the 1850s.

  • Seismic refraction experiments were conducted in four locations in the Whirlwind Inlet, Larsen C Ice Shelf, with the main purpose of estimating firn density profiles. The data were collected as part of NERC Project MIDAS. The locations, procedures and raw data files produced along with quality descriptions are all summarised in the observer's log provided along with the datasets. Funding was provided by NERC Standard Grant 'Impact of surface melt and ponding on ice shelf dynamics and stability', 2014-2017, NERC Reference NE/L005409/1.