Looking forward to learning about recent advances in #AI4Climate at the @apsphysics.bsky.social #GlobalPhysicsSummit meeting. Come check out the back-to-back focus sessions, "AI Applications in Weather and Climate I & II," on Tuesday from 9:00 AM to 1:30 PM!
summit.aps.org/schedule/?c=...

Result: We find the constitutive law of glacial ice near grounding zones follows power laws but with varying exponents, which can impact grounding line stability. We also develop a method to detect and infer ice's anisotropic viscosity—a long-hypothesized property of glacial ice.

Method: We inject only the physics that we believe are correct, e.g. conservation of momentum, into the ML training, and leaving the uncertain physics, e.g. the constitutive law, to be determined through optimization against observations.
Details documented in our 60-page SI.

Finally published @science.org:
Can AI help yield new insights from vast amounts of Earth data?
We use large-scale data and neural nets to find the constitutive laws of glacial ice, which differ from commonly assumed forms in conventional models. #ScienceResearch
www.science.org/doi/10.1126/...