UP scientists develop AI model to predict tropical cyclone rainfall

Researchers from the University of the Philippines Diliman (UPD) have developed an artificial intelligence (AI) model capable of predicting rainfall from tropical cyclones (TCs) more quickly and efficiently than traditional forecasting methods.

- By ELLALYN DE VERA-RUIZ

The study, conducted by Cris Gino Mesias and Dr. Gerry Bagtasa from the UP Diliman College of Science’s Institute of Environmental Science and Meteorology (IESM), uses machine learning to link past typhoon tracks with recorded rainfall.

The model identifies patterns in typhoon behavior to forecast potential rainfall distribution.

“Most predictions of TC rainfall rely on dynamic models, which are very difficult to run as they take a lot of computational resources and require high-performance computing,” Bagtasa said in an article published on UPD’s College of Science website.