Antarctic geothermal heat flow model: Aq1
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PANGAEA
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| Autori principali: | , , , |
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| Natura: | Dataset Open Access |
| Lingua: | en |
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PANGAEA
2020
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| _version_ | 1867170103519346688 |
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| author | Stål, Tobias Reading, Anya M Halpin, Jacqueline A Whittaker, Joanne |
| author_facet | Stål, Tobias Reading, Anya M Halpin, Jacqueline A Whittaker, Joanne |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_924857 |
| institution | PANGAEA |
| language | en |
| publishDate | 2020 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Antarctic geothermal heat flow model: Aq1 Stål, Tobias Reading, Anya M Halpin, Jacqueline A Whittaker, Joanne Antarctica; Binary Object; Binary Object (Media Type); File content; geophysics; Geothermal heat; multivariate 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. |
| title | Antarctic geothermal heat flow model: Aq1 |
| topic | Antarctica; Binary Object; Binary Object (Media Type); File content; geophysics; Geothermal heat; multivariate |
| url | https://doi.org/10.1594/PANGAEA.924857 |