Journal Club: Understanding Preindustrial Atmospheric Methane Variability with Simple Noise Models
Welcome to STEMdentity Journal Club! Every month, I find an exciting peer-reviewed journal article and interview one of its lead authors. We talk about their paper, their work, and their STEM identities.
My guest today is Eric Mei, who is a PhD candidate in the department of Atmospheric and Climate Science at University of Washington. We’re digging into his 2026 PNAS paper Multidecadal preindustrial methane variability can be explained by noise in the source–sink imbalance. I’ll admit that methane work is still like cat nip to me - so appealing! But I don’t think about ice core research at all so this study was fascinating to me.
We also talk about how Eric transitioned over time from working with wastewater research to atmospheric signals and how he wrote such a fun and compelling paper.
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