A Graph Neural Network for Global Daily Fire Radiative Power Prediction at Medium-Range Lead Times
A Graph Neural Network called FRP-GraphCast-Lite predicts global daily fire radiative power up to seven days ahead using spatiotemporal graph techniques. This model significantly outperforms simple persistence methods, reducing prediction errors by over a third at one day and 40% at seven days, providing a better tool for fire monitoring.