This study presents an innovative approach to forecasting seasonal anomalies in burned areas (BA) by integrating process-based seasonal prediction and a random forest climate-fire model. The ...
Artificial intelligence-based models for global weather forecasting have advanced rapidly, but research on high-resolution data-driven limited area models remains scarce. Here we introduce a limited ...
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