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AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics
African and South American (ASA) wildfires account for more than 70 % of global burned areas and have strong connection to local climate for sub-seasonal to seasonal wildfire dynamics. However, representation of the wildfire–climate relationship remains challenging due to spatiotemporally heterogeno
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