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Quantifying the drivers and predictability of seasonal changes in African fire

Earth Sciences

Quantifying the drivers and predictability of seasonal changes in African fire

Y. Yu, J. Mao, et al.

Explore the groundbreaking research conducted by Yan Yu and colleagues, revealing how seasonal environmental factors like sea-surface temperature and soil moisture influence African fire predictability. Their innovative use of Stepwise Generalized Equilibrium Feedback Assessment combined with machine learning techniques offers a robust method for forecasting fires a month in advance.

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