Session 1A AI for Environmental Science. Part I

Monday, 13 January 2020: 11:00 AM-12:00 PM
156BC (Boston Convention and Exhibition Center)
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; and the Events )
Cochairs:
Carlos F. Gaitan, Arable Labs, Inc., Machine Learning and Artificial Intelligence, Princeton, NJ and Zhonghua Zheng, University of Illinois at Urbana−Champaign, Department of Civil and Environmental Engineering, Urbana, IL

This session is for presentations that fit the general conference theme but do not match with a particular specialty session.

Papers:
11:00 AM
1A.1
Lessons from Downscaling Precipitation in Tasmania, Australia, and the Northeast United States Using Machine Learning Approaches
Timothy Lynar, Univ. of New South Wales, Campbell, Australia; and C. D. Watson
Recorded Presentation

11:15 AM
1A.2
Climate Change Impacts on Global Ecology
Kate Duffy, Northeastern Univ., Boston, MA; and T. Gouhier and A. Ganguly

11:30 AM
1A.3
Creating Bias-Corrected Global Radiation Datasets from Climate Reanalysis Products Using Supervised Learning
Tirthankar Chakraborty, Yale Univ., New Haven, CT; and X. Lee
Recorded Presentation

11:45 AM
1A.4
Causal Inference: A Pathway for System Identification Using Observational Datasets
Mohammed Ombadi, Univ. of California, Irvine, Irvine, CA; and P. Nguyen, S. Sorooshian, and K. Hsu
Recorded Presentation

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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