Publications

Peer-Reviewed

2025

Rader, J.K., C.J. Connolly, M.A. Fernandez, and E.M. Gordon, 2025. “Attribution of the record-high 2023 SST using a deep-learning framework.” Environmental Research Communications. https://doi.org/10.1088/2515-7620/add322.

Olivarez, H.C., N.S, Lovenduski, E. Maroon, J.D. Müller, A.R. Fay, K.M. Krumhardt, M.N. Levy, K. Lindsay, G.A. McKinley, and J.K. Rader, 2025. “Internal climate variability modulates decadal changes in ocean anthropogenic carbon storage.” Environmental Research Letters. https://doi.org/10.1088/1748-9326/ada2ad.

2023

Rader, J.K., and E.A. Barnes, 2023. “Optimizing Seasonal-To-Decadal Analog Forecasts With a Learned Spatially-Weighted Mask.” Geophysical Research Letters. https://doi.org/10.1029/2023GL104983.

2022

Rader, J.K., E.A. Barnes, I. Ebert-Uphoff, and C.W. Anderson, 2022. Detection of forced change within combined climate fields using explainable neural networks. Journal of Advances in Modeling Earth Systems. https://doi.org/10.1029/2021MS002941

Barnes, E.A., R.J. Barnes, Z.K. Martin, and J.K. Rader, 2022. This Looks Like That There: Interpretable neural networks for image tasks where location matters. Artificial Intelligence for the Earth Systems. https://doi.org/10.1002/essoar.10509984.2