Rain nowcast

Encadrants : Dominique Béréziat

Disponible : NON

Spécialité : IMA

Nombre d'étudiants : 2

Description :

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.

Pré-requis : Python and machine learning tools

Travail demandé : - state of the art and critical analysis
- implementation in Pytorch or Keras on Meteo-France data

Liens complémentaires : - https://paperswithcode.com/paper/convolutional-lstm-network-a-machine-learning
- https://paperswithcode.com/paper/deep-learning-for-precipitation-nowcasting-a

Bio Image Analysis.ORG

Rain nowcast