Kirsten j Mayer, phd

National Center for Atmospheric Research

Curriculum Vitae & Google Scholar

Research interests: S2D predictability, tropical-extratropical teleconnections, machine learning, eXplainable and Interpretable Artificial Intelligence (XAI/IAI)

ReCENT Publications

Can Transfer Learning be Used to Identify Tropical State-Dependent Bias Relevant to Midlatitude Subseasonal Predictability? (2025)

Future Seasonal Surface Temperature Predictability with and without ARISE-Stratospheric Aerosol Injection-1.5 (2024)

Exploring the Relative Importance of the MJO and ENSO to North Pacific Subseasonal Predictability (2024)

Quantifying the Effect of Climate Change on Midlatitude Subseasonal Prediction Skill Provided by the Tropics (2022)

Subseasonal Forecasts of Opportunity Identified by an Explainable Neural Network (2021)

Get in touch at: kjmayer at ucar dot edu

GitHub: @kjmayer LinkedIn Bluesky: @kirstenjmayer.bsky.social

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