Kirsten Mayer

AS Atmospheric Sciences

The 2021 Virtual Outstanding Student and PhD candidate Presentation (vOSPP) Award is awarded to Kirsten Mayer for the poster/PICO entitled:

Subseasonal Forecasts of Opportunity Identified by an Explainable Neural Network (Mayer, K.; Barnes, E.)

Click here to download the poster/PICO file.

Kirsten Mayer is a PhD candidate in the Department of Atmospheric Science at Colorado State University. Her research focuses on tropical-extratropical teleconnections and applying novel machine learning techniques to midlatitude sub-seasonal prediction. She received this award for her presentation on utilizing an artificial neural network to identify opportunities for enhanced prediction skill on sub-seasonal timescales.