Rainfall forecasting is an important environmental issue (flood anticipation, agricultural management, …). Here we are interested in a short-term forecast (time horizon up to 2 hours). We use Radar data which are robust rainfall indicators. The algorithmic will be based on Deep learning approaches with a focus on convolutional LSTM architectures.
- implementation in Pytorch or Keras on Meteo-France data