Session 1A AI for Environmental Science I

Monday, 13 January 2020: 11:00 AM-12:00 PM
156BC (Boston Convention and Exhibition Center)

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

Description:

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 northeast USA using machine learning approaches
Timothy Lynar, University of New south wales, Campbell, ACT, Australia; and C. D. Watson

11:15 AM
1A.2
Climate Change Impacts on Global Ecology
Kate Duffy, Northeastern University, 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

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

Abstract Submissions Closed



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