invertible_sr

Code for the paper: "Invertible CNN-Based Super Resolution with Downsampling Awareness" by Andrew Geiss and Joseph C. Hardin, Nov 2020

chem_downscaling

Code for: "Downscaling Atmospheric Chemistry Simulations with Physically Consistent Deep Learning", by Andrew Geiss, Sam J. Silva, and Joseph C. Hardin, (2022)

radar_inpainting

Code for paper: "Inpainting Radar Missing Data Regions with Deep Learning" by Andrew Geiss and Joseph C. Hardin

nexrad_sr

Code for: "Radar Super Resolution using a Deep Convolutional Neural Network" by Andrew Geiss and Joseph C. Hardin

aerosol_optics_ml

Code for: "Emulating Aerosol Optics with Randomly Generated Neural Networks." by Geiss, A., Ma, P-L, Singh, B., and Hardin, J. C., (2022)