May 27, 2024, 4:45 a.m. | Kyleen Liao, Jatan Buch, Kara Lamb, Pierre Gentine

cs.LG updates on arXiv.org arxiv.org

arXiv:2312.04291v2 Announce Type: replace-cross
Abstract: The increasing size and severity of wildfires across the western United States have generated dangerous levels of PM$_{2.5}$ concentrations in recent years. In a changing climate, expanding the use of prescribed fires is widely considered to be the most robust fire mitigation strategy. However, reliably forecasting the potential air quality impact from prescribed fires, which is critical in planning the prescribed fires' location and time, at hourly to daily time scales remains a challenging problem. …

abstract air quality arxiv climate cs.lg fire generated graph graph neural network impact network neural network physics.ao-ph quality replace robust type united united states wildfires

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