EAS Seminar: Bob Hawley (Dartmouth)

Check your work: Why models and remote-sensing measurements still need boots on the ground Large scale numerical models, informed by large remotely-sensed datasets, are at the forefront of predictive capability on the ice sheets and sea-level rise. Yet models depend on an understanding of the underlying physics, which in turn relies on effective observations. Remotely-sensed datasets cover vast swaths of the rarely-visited ice-sheet interior, yet require calibration and validation. Drawing from 30 years of making challenging measurements on polar ice sheets, I illustrate some of the ways field