National Gravity Compilation 2019: Half Vertical Derivative Grid of Australia

A 2019 compilation of gravity data for Australia and its continental margins, derived from nearly 1.4 million ground and marine stations. The grid, with a cell size of approximately 435 meters, shows the half vertical derivative of de-trended global isostatic residual anomalies. Data were sourced from the Australian National Gravity Database and global marine grids, with ground observations collected by various entities from the 1940s onward.

Use Cases

• Modeling subsurface geological structures based on gravity anomaly data.
• Mapping density variations in the Earth's crust for mineral exploration.
• Integrating gravity data with other geophysical surveys for regional geological interpretation.
• Studying isostatic compensation and crustal thickness over the Australian continent.

Strengths

• Derived from nearly 1.4 million gravity stations, providing dense spatial coverage.
• Ground data collection spans from the 1940s to the present, offering a long temporal baseline.
• Station spacing in major parts of the continent is between 2.5 and 7 km, indicating detailed sampling.
• Processed and quality-checked by GA geophysicists to be fit-for-purpose.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific computational tasks.
• Data may reflect geographic and temporal bias inherent to the aggregation of historical surveys.

Provenance

Source

Australian Ocean Data Network, incorporating data from the Australian National Gravity Database and Scripps Institution of Oceanography/NOAA/NGA.

Collection Method

Grid generated from ground and marine gravity observations via standard processing and Fast Fourier Transform (FFT).

Time Range

Ground observations from the 1940s to September 2019.

Freshness

Last updated 2026-06-27 21:32:16.771049; freshness should be verified.

Geography

Australia and its continental margins.