Preprints
https://doi.org/10.5194/egusphere-2025-2872
https://doi.org/10.5194/egusphere-2025-2872
07 Jul 2025
 | 07 Jul 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Processes driving the regional sensitivities of summertime PM2.5 to temperature across the US: New insights from model simulations

Lifei Yin, Yiqi Zheng, Bin Bai, Bingqing Zhang, Rachel Silvern, Jingqiu Mao, Loretta Mickley, and Pengfei Liu

Abstract. The temperature sensitivity of fine particulate matter (PM2.5) critically influences air quality and human health under a warming climate, yet models struggle to accurately reproduce observed sensitivities. This study improves the representation of PM2.5-temperature relationships in the chemical transport model GEOS-Chem through targeted improvements and analyses of the underlying drivers based on simulations across the contiguous US (2000–2022). Our simulations reveal that chemical production processes, particularly isoprene secondary organic aerosols (SOA) and sulfate formation, determine the magnitude of PM2.5 sensitivity in the eastern US. In the Western US, primary emissions drive the increasing PM2.5-temperature sensitivity. Transport processes contribute to interannual variability in PM2.5 sensitivity across all regions. We quantified the contributions from individual temperature-sensitive processes for the first time. Sulfate concentration plays a pivotal role in modulating the sensitivity of isoprene SOA due to its direct influence on isoprene SOA formation. Furthermore, the increased SO2 emissions on warm days dictates both the magnitude and variability of sulfate sensitivity in the Eastern and Central US. In the Western US, however, sulfate sensitivity is primarily controlled by the temperature response of hydroxyl radicals (·OH). These findings highlight the impact of anthropogenic emission reductions on declining PM2.5–temperature sensitivity in the eastern US, improve our understanding of climate-driven air quality changes, and underscore the importance of accurately representing temperature-dependent processes in future air quality projections.

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Lifei Yin, Yiqi Zheng, Bin Bai, Bingqing Zhang, Rachel Silvern, Jingqiu Mao, Loretta Mickley, and Pengfei Liu

Status: open (until 27 Sep 2025)

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Lifei Yin, Yiqi Zheng, Bin Bai, Bingqing Zhang, Rachel Silvern, Jingqiu Mao, Loretta Mickley, and Pengfei Liu
Lifei Yin, Yiqi Zheng, Bin Bai, Bingqing Zhang, Rachel Silvern, Jingqiu Mao, Loretta Mickley, and Pengfei Liu

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Short summary
This study improves GEOS-Chem simulations of PM2.5–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.
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