USAP-DC

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Models from "Applying Machine Learning to Characterize and Extrapolate the Relationship Between Seismic Structure and Surface Heat Flow" Cite as Zhang, S. (2025) "Models from "Applying Machine Learning to Characterize and Extrapolate the Relationship Between Seismic Structure and Surface Heat Flow"" U.S. Antarctic Program (USAP) Data Center. doi: https://doi.org/None. Creator(s): Zhang, Shane Date Created: 2025-06-10 Repository: USAP-DC (current) License: Creative Commons Attribution Only v4.0 Generic [CC BY 4.0] Award(s) NSF 1943112 Version: 1 References Zhang, S. and Ritzwoller, M.H., 2024. Applying machine learning to characterize and extrapolate the relationship between seismic structure and surface heat flow. Geophysical Journal International, 238(3), pp.1201-1222. (doi:https://doi.org/10.1093/gji/ggae218) Keywords Antarctica Cryosphere