Climate Downscaling using Computer Vision Techniques
This is a python implementation for the KDD 2020 paper "Climate Downscaling Using YNet: a Deep Convolutional Network with Skip Connections and Fusion"
Usage:
- Place the src folder and data folder in your own folder (say /Downscaling/) to form those two folders:
/Downscaling/src/
/Downscaling/data/
-
cd to src folder run main.py
-
Results are saved in /Downscaling/results/ folder.
Tested environment: Python 3.6