WF24113Sub-hourly forecasting of fire potential using machine learning on time series of surface weather variables
This study introduces a machine learning model to forecast fire potential using weather data from the Sunshine Coast, Australia. The model, which updates every 30 min, significantly improves fire prediction accuracy, helping to provide timely warnings and enhance fire management strategies.
WF24113 Abstract | WF24113 Full Text | WF24113PDF (2.9 MB) | WF24113Supplementary Material (1.5 MB) Open Access Article