Permafrost covers more than 10 percent of the planet and stores vast amounts of carbon in frozen soil, making it a crucial—and dangerous—carbon sink. Understanding how (and why) permafrost is changing with the climate is critical to estimating (and mitigating) carbon emissions, but these dynamics remain largely opaque to researchers. A trio of researchers are working to change that, applying supercomputer-powered deep learning to better assess permafrost dynamics.
The post Deep Learning, Supercomputing Enable Unprecedented Permafrost Analysis appeared first on HPCwire.
Article From: "Oliver Peckham" Read full article »
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