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CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme
Activity Details
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185 * !
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Mon, 8/8/2022,
2:00 PM -
3:50 PM
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CC-144B
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Addressing Important Questions in Climate Science Using Advanced Statistical and Machine-Learning Approaches — Topic Contributed Papers
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Section on Statistics and the Environment, ASA Advisory Committee on Climate Change Policy, Section on Physical and Engineering Sciences
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Organizer(s): Matthias Katzfuss, Texas A&M University
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Chair(s): Bo Li, University of Illinois at Urbana-Champaign
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2:05 PM
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Prediction of Optimal Compression Settings for Spatiotemporal Climate Data Sets: Benchmarking Statistical and Machine Learning Techniques
Dorit Hammerling, Colorado School of Mines; Alexander Pinard, Colorado School of Mines; Allison Baker, National Center for Atmospheric Research
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2:25 PM
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A Method for Detection and Attribution of Regional Precipitation Change Using Granger Causality
Mark Risser, Lawrence Berkeley National Laboratory
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2:45 PM
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Estimating Changes in Compound Heat-Humidity Extremes: A Conditional Quantile Approach
Karen Aline McKinnon, UCLA; Andy Poppick, Carleton College
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3:05 PM
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Multi-Model Ensemble Analysis with Neural Network Gaussian Processes
Trevor Austin Harris, Texas A&M University; Bo Li, University of Illinois at Urbana-Champaign; Ryan Sriver, University of Illinois
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3:25 PM
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Non-Gaussian Climate Model Analysis via Scalable Bayesian Transport Maps
Matthias Katzfuss, Texas A&M University; Florian Schaefer, Georgia Tech
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3:45 PM
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Floor Discussion
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Video Available to all JSM Registered Attendees. Please login to view.
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