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  • The ESA PolarGap airborne gravity, lidar/radar and aeromagnetic survey was carried out in Antarctica in the field season 2015/16. The purpose of the 2015/16 ESA PolarGAP airborne survey of the South Pole region was to fill the gap in satellite gravity coverage, enabling construction of accurate global geoid models. Additional radar flights over the Recovery Lakes for the Norwegian Polar Institute (NPI) were carried out as part of the same survey, but included collection of airborne gravity. Gravity data were collected using two complimentary systems. The primary system was a ZLS-modified Lacoste and Romberg (LCR) gravimeter (S-83) which gives exceptionally low and predictable long term drift. The secondary system was high specification inertial navigation system (iMAR RQH-1003), provided by TU Darmstadt, capable of resolving gravity anomalies even under turbulent conditions, but more prone to instrument drift. Results from both systems were merged to give a unified best product. The aircraft used was the BAS aerogeophysicaly equipped twin otter VP-FBL. Data are available as an ASCII table (.csv).

  • The ESA PolarGap airborne gravity, lidar/radar and aeromagnetic survey was carried out in Antarctica in the field season 2015/16. The purpose of the 2015/16 ESA PolarGAP airborne survey of the South Pole region was to fill the gap in satellite gravity coverage, enabling construction of accurate global geoid models. Additional radar flights over the Recovery Lakes for the Norwegian Polar Institute (NPI) were carried out as part of the same survey. In conjunction with the primary datasets aeromagnetic data was collected opportunistically, to provide new insights into the subglacial geology. Data were collected using a caesium magnetometer system, and have been corrected to total field values following the approach laid out by the SCAR ADMAP working group (http://admap.kopri.re.kr/ADMAP-2_SCR_27Aug13.pdf). The aircraft used was the BAS aerogeophysicaly equipped twin otter VP-FBL. Data are available as an ASCII table (.csv).