Antarctic geothermal heat flow model: Aq1

doi:doi:10.1594/PANGAEA.924857

Antarctic geothermal heat flow model: Aq1

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.

BibTex:

@dataset{Stål_Tobias_and_Reading_Anya_M_and_Halpin_Jacqueline_A_and_Whittaker_Joanne_2020,
    abstract = {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.},
    author = {Stål, Tobias and Reading, Anya M and Halpin, Jacqueline A and Whittaker, Joanne},
    doi = {10.1594/PANGAEA.924857},
    institution = {PANGAEA (Geophysics)},
    keyword = {'Antarctica', 'Geothermal heat', 'geophysics', 'multivariate'},
    title = {Antarctic geothermal heat flow model: Aq1},
    url = {https://service.tib.eu/ldmservice/vdataset/png-doi-10-1594-pangaea-924857},
    year = {2020}
}