A new model deployed at Hong Kong Observatory and National Meteorological Centre uses machine learning algorithms to boost forecast accuracy
Hong Kong Observatoryand mainland China’s National Meteorological Centre can solve one of the toughest challenges in weather forecasting: predicting when a typhoon will rapidly intensify.
Typhoon Jangmi”. cancel or reschedule flights to Japan.
The observatory has predicted that Hong Kong will experience four to seven typhoons between now and October, and has warned that some could become super typhoons due to the El Nino phenomenon.
Forecasting rapid intensification, when a tropical cyclone’s maximum sustained winds increase by 15 metres per second (49.2 feet per second) within a 24-hour period, or by 10m/s within 12 hours, has been one of the toughest challenges in meteorology.
“Rapid intensification rarely happens, and is highly unpredictable, making preventive measures and responses extremely likely to be delayed,” Li said in a statement issued by SIAT last week. SIAT is affiliated with the Chinese Academy of Sciences.
Traditional numerical weather prediction technology could not accurately reflect the evolution of typhoon intensity, she said, while the statistical-dynamic method failed to capture the non-linear characteristics of typhoon intensity changes.