Explainable Climate Science

Zack Labe, a Post-Doctoral Researcher at Colorado State University, joins us today to discuss his work “Detecting Climate Signals using Explainable AI with Single Forcing Large Ensembles.” Works Mentioned “Detecting Climate Signals using Explainable AI with Single Forcing Large Ensembles” by Zachary M. Labe, Elizabeth A.

Guest

Zack Labe: I am a postdoctoral researcher in the Department of Atmospheric Science at Colorado State University. I received my Ph.D. from the Department of Earth System Science at the University of California, Irvine in May 2020 and a B.Sc. in Atmospheric Science from Cornell University in May 2015. Broadly, I am interested in a signal-to-noise problem. The signal is climate change. The noise is weather. My research intends to disentangle the two components to improve our understanding of climate variability and extreme events in a warming world. In addition to academic research, I am very passionate about improving science communication, accessibility, and outreach through engaging data visualizations.