Prediction of extreme natural events such as tropical storms or hurricanes is a global research challenge with immediate benefit to weather agencies worldwide. In Mexico alone, the annual impact of these weather phenomena is estimated at around 1.000 million EURO, having a direct impact on commodity prices and the macroeconomy of the country. Complex deep learning architectures with large datasets are used here, but they lack explanations. Consortium members are already working on visits to the IAAA-MX research group in Mexico through sabbatical arrangements with a focus on explaining forecasting models of global cycles such as “el niño”.
