This project was created in the context of a course at the HTWG Konstanz - University of Applied Sciences.
The goal is a short term precipitation prediction for 35 minutes of an area around Constance with machine learning. Therefor we use a UNet implementation in keras and tensorflow for python 3.
Our team: Etienne, Merle, Thomas, Tim creates a short term precipitation prediction using a UNet under supervision of Prof. Dr. Oliver Duerr.
- can be read from our english paper here on github
- or in our full length german report here on github
To run the scripts in this repository, you need the Anaconda Python distribution and additionally install the following packages:
- keras
- tensorflow
- cv2 (OpenCV)
- wradlib