Precise forecasts of wildfire danger are crucial for proactive fuel management and emergency responses, yet they pose a challenge at the subseasonal scale due to limitations in prediction capabilities and a gap between forecast outputs and the needs of decision-makers. This study introduces an innovative hybrid modeling framework that integrates artificial intelligence (AI) with climate dynamic prediction systems to accurately...