Michael Shahin

@laserglaciers.bsky.social

Postdoctoral researcher at UPenn | Glaciologist | Open source enthusiast | he/him

Next IGS Global Seminar: Danielle Grau (University at Buffalo) Antarctic Meltwater Alters Future Projections of Climate and Sea Level & Sunme Zhao (Stanford University) Two perspectives on small-scale topographic effects on Antarctic subglacial hydrology More info at www.igsoc.org/event/grau-a...

IGS Global Seminar: Danielle Grau & Sunme Zhao | October 7

Topic: Antarctic Meltwater Alters Future Projections of Climate and Sea Level Speaker: Danielle Grau Institution: University at Buffalo Topic: Two

igsoc.org

If you've ever wondered what would happen if a response to a review was filled with really bad puns and references to Star Wars, I’ve got you covered. I just hope the reviewers rise to the occasion because I think we can do something really special here.

Brief communication: Nye was right!

Abstract. Despite decades of study, predicting crevasses penetration depths remains controversial. Nye provided one of the earliest estimates of crevasse penetration depths. Recently, a new theory, ca...

egusphere.copernicus.org

This comes on top of the quiet discontinuation of the NSF OPP program earlier this year. We are going to lose so many talented early career scientists as a result of these short-sighted decisions.

news.stanford.edu/stories/2025... NASA Earth data + AI enable us to infer the constitutive models critical for ice dynamics. AI is useful, but no data = no discovery. Below is an example of the training data: a velocity map showing the dynamics of the Antarctic Ice Sheet. Source: #NASA.

AI reveals insights into the flow of Antarctic ice

Stanford research focused on the large-scale movements of the Antarctic ice sheet could help improve predictions about how the continent will change in the future.

news.stanford.edu

Yao Lai@chingyaolai.bsky.social · 2y ago

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/...