Session 10A Observationally Derived Causal Inference of Atmosphere, Ocean, and Climate Phenomena

Wednesday, 15 January 2025: 10:45 AM-12:00 PM
244 (New Orleans Ernest N. Morial Convention Center)
Host: 38th Conference on Climate Variability and Change
Cochairs:
Chris E. Forest, PhD and Gretchen Keppel-Aleks, University at Albany, Atmospheric and Environmental Sciences, Albany, NY

Atmosphere, Ocean, Cryosphere, and Ecosystem Sciences has a growing scientific community using Causal Inference theory and applications related to our climate system.  These methods are critical tools to identify feedback processes across the systems.  These tools have been used to identify climate impacts that are accelerated by climate change factors.  To improve our climate models, we need to use observations to assess feedback processes using causal discovery techniques to identify causal pathways that can understand and visualize feedback processes using observations and/or numerical models.

Papers:
10:45 AM
10A.1
A Cabinet of (Climate) Curiosities
Peter J. Webster, Georgia Instutue of Technology, Atlanta, GA; and G. L. Stephens, S. Ortega, and C. D. Hoyos

11:00 AM
10A.2
An Observational Diagnosis of ENSO, MJO, and Mean Climate Biases over the Warm Pool and Maritime Continent
Prashant D Sardeshmukh, CIRES, University of Colorado and Physical Sciences Laboratory/NOAA, Boulder, CO; and C. Penland and G. P. Compo

11:15 AM
10A.3
Uncovering Processes Responsible for Winter Storm Track Anomalies over North America Using a Causal Inference Framework
Shan He, Stony Brook University, Stony Brook, NY; and E. K. M. Chang, C. Zheng, J. Lee, and X. Yang

11:30 AM
10A.4
Planning our Evolving Climate Observing System: Identifying Priorities and Evaluation Techniques
Elizabeth C Weatherhead, Jupiter Intelligence, Lafayette, CO; and A. M. Fridlind, R. Kramer, and D. E. Waliser

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