MHWCorrNet

Key Points

• The research aims to develop an interpretable framework for enhancing marine heatwave forecasts using deep learning techniques.
• Developed an interpretable deep learning model called MHWCorrNet
• Implemented the framework using PyTorch
• Focused on post-processing of subseasonal-to-seasonal marine heatwave forecasts.
• Improved the accuracy of marine heatwave forecasts
• Enhanced interpretability of the forecasting framework