Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks

Understand

Deep learning applied to weather forecasting has started gaining popularity because of the progress achieved by data-driven models.

• The present paper compares two different deep learning architectures to perform weather prediction on daily data gathered from 18 cities across Europe and spanned over a period of 15 years.
• We propose the Deep Attention Unistream Multistream (DAUM) networks that investigate different types of input representations (i.e.
• tensorial unistream vs.