most citedDeep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 4 cited

Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale

Sibo Cheng, Hector Chassagnon, Matthew Kasoar +2

Global wildfire models play a crucial role in anticipating and responding to changing wildfire regimes. JULES-INFERNO is a global vegetation and fire model simulating wildfire emis…