Anthropogenic global warming has triggered potentially dangerous shifts in climate and ocean systems, leading to more severe and frequent climate extremes.

To minimize the potential damage from these extremes in a warming climate, we should enhance our predictive capabilities through the development of innovative data-mining techniques.

In our research, we pioneer new data-mining methods, including supervised dimensionality reduction coupled with machine learning techniques, to improve the predictability of hydro-climate extremes in the context of statistical downscaling and predictions. link:https://link.springer.com/article/10.1007/s00382-016-3145-0