Wildfire danger is usually measured with a formula needing weather data from a specific time of day, often missing in climate simulations. Scientists have relied on a rough substitute that can be inaccurate. We trained artificial intelligence models on Iberian Peninsula weather records to recreate the proper measure using only common daily data. This proved far more accurate than the usual substitute, even without rainfall data, easing wildfire risk assessment for climate research and planning.