Antarctic gravity anomaly and height anomaly grids (AntGG2021)

• Main Authors: Scheinert, Mirko, Zingerle, Philipp, Schaller, Theresa, Pail, Roland
• Format: Dataset
• Language: English
• Published: PANGAEA 2024
• Subjects: Antarctica; Bouguer gravity anomaly; Documentation file; File content; gravity anomaly; height anomaly; netCDF file; netCDF file (File Size); netCDF header info extracted with ncdump; pan-Antarctica; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; regional gravity field; SPP1158; Arctic; Antarctic; Norway; Alfred Wegener Institute; Antarc*; British Antarctic Survey; Norwegian Polar Institute; Sea ice
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.971238; https://doi.org/10.1594/PANGAEA.971238

These data sets form a major update and enhancement of a first data publication in 2016 (Scheinert et al. 2016: doi:10.1002/2015GL067439, PANGAEA: doi:10.1594/PANGAEA.848168). Ground-based and airborne gravity data were compiled in the frame of the International Association of Geodesy (IAG) SC2.4f Gravity and Geoid in Antarctica (AntGG). Since 2016 important data have been acquired, primarily applying the method of airborne gravimetry, to close existing data gaps, especially over the south polar region. These data were measured during different projects where a number of institutions underwent close cooperations to fund and to realize specific campaigns, among others, Alfred Wegener Institute (Germany), DTU Space (Denmark), British Antarctic Survey (United Kingdom), Norwegian Polar Institute (Norway), National Geospatial Intelligence Agency (USA), and European Space Agency. Important steps in the set-up and processing compared to the AntGG2016 solution include: increase in grid resolution from 10 to 5 km; usage of a high-resolution background gravity field model (SATOP-1); thorough treatment of the topography; processing adopting the remove-compute-restore method and using a partition-enhanced least-squares collocation (LSC) (Zingerle et al. 2021: doi:10.1007/s00190-021-01540-6). Applying the LSC also gives the advantage to provide more data sets (since they are treated as functionals of the disturbing potential) and an accuracy measure (standard deviation) for the inferred gravity anomalies. Thus, data sets provided include: gravity anomaly (at the surface), gravity disturbance (both at the surface and at constant height of 5,000 m), height anomaly (both at surface and at ellipsoid), second radial derivative of the disturbing potential, Bouguer anomaly, and the standard deviation of LSC for the gravity anomaly.