Session 5B Environet

Tuesday, 14 January 2020: 1:30 PM-2:30 PM
Host: 19th Conference on Artificial Intelligence for Environmental Science
Cochairs:
Karthik Kashinath, LBNL, National Energy Research Scientific Computing Center (NERSC), Berkeley, CA and Karthik mukkavilli, Environet

Presentations on the status of the Environet Initiative and insights from AI applied to Environet datasets.

Papers:
1:30 PM
5B.1
Environet: A Project Update
Surya Karthik Mukkavilli, Montreal Institute for Learning Algorithms (Mila), Montreal, QC, Canada; McGill University, Montreal, QC, Canada

1:45 PM
5B.2
ClimateNet: Bringing the power of Deep Learning to weather and climate sciences via open datasets and architectures
Karthik Kashinath, LBNL, Berkeley, CA; and M. Mudigonda, K. Yang, J. Chen, A. Greiner, and M. Prabhat

2:00 PM
5B.3
Community Earth System Science Datasets from NCAR
David John Gagne II, NCAR, Boulder, CO; and R. D. Loft and N. Flyer

2:15 PM
5B.4
IceNet: A large-scale dataset for tracking ice flow using unsupervised learning with adversarial networks
Yimeng Min, Montreal Institute for Learning Algorithms (Mila), Montreal, QC, Canada; and S. K. Mukkavilli and Y. Bengio

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