2024
DOI: 10.1029/2023gl107929
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A Global Probability‐Of‐Fire (PoF) Forecast

J. R. McNorton,
F. Di Giuseppe,
E. Pinnington
et al.

Abstract: Accurate wildfire forecasting can inform regional management and mitigation strategies in advance of fire occurrence. Existing systems typically use fire danger indices to predict landscape flammability, based on meteorological forecasts alone, often using little or no direct information on land surface or vegetation state. Here, we use a vegetation characteristic model, weather forecasts and a data‐driven machine learning approach to construct a global daily ∼9 km resolution Probability of Fire (PoF) model op… Show more

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