Session 5B Environet

Tuesday, 14 January 2020: 1:30 PM-2:30 PM
156BC (Boston Convention and Exhibition Center)
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; and the Events )
Cochairs:
Karthik Kashinath, LBNL, National Energy Research Scientific Computing Center (NERSC), Berkeley, CA and Karthik mukkavilli, LBNL, National Energy Research Scientific Computing Center (NERSC), Berkeley, CA

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, Montreal, Canada; McGill Univ., Montreal, 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
Recorded Presentation

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, Montreal, Canada; and S. K. Mukkavilli and Y. Bengio

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