We present a refined map of geothermal heat flow for Antarctica, Aq1, based on multiple observables. The map is generated using a similarity detection approach by attributing observables from geophysics and geology to a large number of high-quality heat flow values (5792) from other continents. Observables from global, continental and regional datasets for Antarctica are used with a weighting function that allows the degree of similarity to increase with proximity and how similar the observables are. The similarity detection parameters are optimized through cross-correlation. For each grid cell in Antarctica, a weighted average heat flow value and uncertainty metrics are calculated.

Several data formats are provided for the end users.