6 citations · 7 across the 2 of their papers we have counts for
3 papers
Surrogate sea ice model enables efficient tuning
Kelly Kochanski, Ivana Cvijanovic, Donald Lucas
Predicting changes in sea ice cover is critical for shipping, ecosystem monitoring, and climate modeling. Current sea ice models, however, predict more ice than is observed in the…
Deep learning predictions of sand dune migration
Kelly Kochanski, Divya Mohan, Jenna Horrall +2
A dry decade in the Navajo Nation has killed vegetation, dessicated soils, and released once-stable sand into the wind. This sand now covers one-third of the Nation's land, threate…
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack +19
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a po…