This study improves GEOS-Chem simulations of PM_2.5–temperature sensitivity and identifies key processes driving regional variability across the US. We show that chemical production dominates in the east, primary emissions in the west, and transport processes affect interannual variability. Results highlight the need for accurate temperature-dependent process representation in air quality models.