Published March 29, 2023
| Version 1.0.0
Dataset
Open
Data Archive for "Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification"
Creators
- 1. MeteoSwiss
- 2. Fondazione Bruno Kessler
- 3. Deutscher Wetterdienst
Description
This repository contains the training data and pretrained models for the paper "Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification".
To use the data, clone the repository at https://github.com/MeteoSwiss/ldcast. Unzip the files as follows:
- Demo files "ldcast-demo-20210622.zip" to the "data" directory
- Training and evaluation data archive "ldcast-datasets.zip" to the "data" directory
- Pretrained model archive "models-genforecast.zip" to the "models" directory
Notes
Supported by the fellowship ``Seamless Artificially Intelligent Thunderstorm Nowcasts'' from the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The hosting institution of this fellowship is MeteoSwiss in Switzerland.