Corrformer
Corrformer employs an innovative Multi-Correlation mechanism to streamline both temporal and spatial correlations within a multiscale framework. This approach reduces the complexity of spatiotemporal modeling and achieves high accuracy in weather forecasting across global datasets. As an open-source project published in Nature Machine Intelligence, it offers transparent predictions and is readily available with detailed code and pre-trained models for implementation.
