Data Archive

UW GAM-v2 (Lee and Jaffe, 2025)

UW GAM-v1 (Lee and Jaffe, 2024)

UW Smoke PM2.5 (Jaffe et al., 2026)

  • [Full dataset]: University of Washington ResearchWorks Archive, https://hdl.handle.net/1773/53059
  • [Citation]: Jaffe, D., Lee, H., Magzamen, S., Goldberg, D., and O'Dell, K.: Health and Regulatory Impacts of PM2.5 from Wildland Fires for 2019–2024 in the U.S., GeoHealth, Under review, 2026.

EPA EMBER (Simon et al., 2024)

  • [Full dataset]: Zenodo, https://zenodo.org/records/13737754
  • [Citation]: Simon, H. Beidler, J., Baker, K. R., Henderson, B. H., Fox, L., Misenis, C., Campbell, P., Vukovich, J., Possiel, N., and Eyth, A.: Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the US, Data in Brief, 58, 111208, 2024. https://doi.org/10.1016/j.dib.2024.111208






Browse and download the annual analysis reports below (Downloads are not supported on mobile devices).


UW Smoke PM2.5 (+2025)

Smoke PM2.5 for 2025 and onwards is calculated based on the methodology of UW Smoke PM2.5 (Jaffe et al., 2026).

Year Preliminary Finalized


UW GAM-v2 (+2025)

Using the GAM trained by the 2019–2024 data, UW GAM-v2 (Lee and Jaffe, 2025), we perform Smoke O3 predictions for 2025 and onwards, treating them as independent new datasets.

Year Preliminary Finalized




🚀
New version available!

Refresh to apply the latest updates.