TJ Vandal

deepsd. DeepSD Super-resolution for Climate Downscaling in KDD 2017

bcsd-python. Tool using python and cdo to apply daily climate downscaling with BCSD.

srcnn-tensorflow. Implementation of Super Resolution CNN in Tensorflow

geostationary-superslomo. Implementation of "Temporal Interpolation of Geostationary SatelliteImagery with Optical Flow"

discrete-continuous-bdl. Uncertainty Quantification of Disctete-Continuous Distribution with Bayesian Deep Learning in KDD 2018

unsupervised-spectral-synthesis. Implementation of Spectral Synthesis for Satellite-to-Satellite Translation on GOES-16/17 and Himawari-8

pydownscale. Jupyter Notebook

bnn-time-series. Python

generic-pred. Julia

windflow. Dense feature tracking of atmospheric winds with deep optical flow in KDD 2022

windflow-light. Python

cluster-climatology. Python

CI-2017. Jupyter Notebook

calipso-cloud-height-prediction. Python

tjvandal.github.io. SCSS