Published January 29, 2020
| Version v1
Dataset
Open
RYDL: the sample data of the RY product for deep learning applications
Creators
- 1. Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam, Germany
Description
RYDL is the sample data of the RY product provided by the German Weather Service (DWD). This data has been utilized for training the RainNet model -- a deep convolutional neural network for radar-based precipitation nowcasting.
You can find the latest RY product data on DWD open data repository: https://opendata.dwd.de/weather/radar/.
The RainNet model is available on GitHub: https://github.com/hydrogo/rainnet.
Files
Files
(41.8 GB)
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md5:741adf89357270eaf04331e691d7d094
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41.8 GB | Download |