A comparative analysis of linear regression vs. deep learning models for emulating climate models in the presence of internal variability. (public)

Investigation of model biases in historical internal variability using explainable AI

Using neural networks to detect effects of rapid climate mitigation

Large ensemble to explore robustness of stratospheric response to Arctic sea-ice loss

Using a neural network to predict changes in the rate of global mean surface temperature warming

ANN detecting signal from internal variability

Using explainable to identify regional climate signals to stratospheric aerosol injection

Timing of emergence of CONUS summertime temperatures

Climate drivers of the springtime North America cooling pattern