Automated Detection of West Antarctic Persistent Polynas using Physics-Featurized Neural Networks
Automated Detection of West Antarctic Persistent Polynas using Physics-Featurized Neural Networks
Ellianna Abrahams, University of California Berkeley, Statistics, Berkeley, CA, United States, Tasha Snow, Colorado School of Mines, Geophysics, Golden, CO, United States, Eojin Lee, Columbia University, New York City, United States, Whyjay Zheng, Cornell University, Earth and Atmospheric Sciences, Ithaca, NY, United States, Michael Field, University of Florida, Ft Walton Beach, United States, Elena Savidge, University of Victoria, School of Earth and Ocean Sciences, Victoria, BC, Canada, Facundo Sapienza, University of California, Berkeley, Statistics, Berkeley, United States, Shane Grigsby, UC Santa Barbara, Santa Barbara, CA, United States, Jonathan Taylor, Stanford University, Statistics, Stanford, United States, Matthew Siegfried, Colorado School of Mines, Department of Geophysics, Hydrologic Science & Engineering Program, Golden, CO, United States and Fernando Perez, University of California, Berkeley, Statistics, Berkeley, CA, United States
