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Article

Direct and Indirect Effects of Aerosols During the 2023 Canadian Wildfires

1
Lynker Inc., Environmental Modeling Center, National Centers for Environmental Prediction, National Weather Service, National Oceanic and Atmospheric Administration, College Park, MD 20740, USA
2
Science Applications International Corporation, Inc., Environmental Modeling Center, National Centers for Environmental Prediction, National Weather Service, National Oceanic and Atmospheric Administration, College Park, MD 20740, USA
3
Environmental Modeling Center, National Centers for Environmental Prediction, National Weather Service, National Oceanic and Atmospheric Administration, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Atmosphere 2026, 17(4), 337; https://doi.org/10.3390/atmos17040337 (registering DOI)
Submission received: 10 February 2026 / Revised: 23 March 2026 / Accepted: 24 March 2026 / Published: 26 March 2026
(This article belongs to the Special Issue Interactions Among Aerosols, Clouds, and Radiation)

Abstract

This modeling study investigates the impact of the 2023 Canadian wildfire aerosols (primarily black carbon and organic aerosol) on weather forecasts, concluding that incorporating real-time aerosol forcing improves model performance over using climatology. Experiments without real-time data severely underestimated aerosol optical depth (AOD), an error mitigated by including the forcing or using the coupled atmospherechemistry model. The aerosols exerted a strong direct radiative effect, reducing surface downward shortwave (SW) flux and generating corresponding surface cooling over the wildfire region. Furthermore, including aerosol–cloud interactions amplified this cooling and led to an increase in the overall cloud fraction and precipitation, illustrating complex indirect effects. While these physical improvements enhanced the representation of the atmosphere, the positive impact on overall medium-range forecasting performance (5–10 days) was modest, suggesting that the benefits of accurately representing wildfire feedback on the coupled Earth system are achieved through relatively slow processes, such as radiation feedback.
Keywords: Effects of Wildfires on numerical weather prediction; Aerosol–Cloud Interactions; Aerosol Optical Depth; Real-time Aerosol Data; indirect and direct Radiative Effect; Black and organic Carbon; Surface Cooling; coupled atmospherechemistry model Effects of Wildfires on numerical weather prediction; Aerosol–Cloud Interactions; Aerosol Optical Depth; Real-time Aerosol Data; indirect and direct Radiative Effect; Black and organic Carbon; Surface Cooling; coupled atmospherechemistry model

Share and Cite

MDPI and ACS Style

Cheng, A.; Li, P.; Bhattacharjee, P.S.; Yang, F. Direct and Indirect Effects of Aerosols During the 2023 Canadian Wildfires. Atmosphere 2026, 17, 337. https://doi.org/10.3390/atmos17040337

AMA Style

Cheng A, Li P, Bhattacharjee PS, Yang F. Direct and Indirect Effects of Aerosols During the 2023 Canadian Wildfires. Atmosphere. 2026; 17(4):337. https://doi.org/10.3390/atmos17040337

Chicago/Turabian Style

Cheng, Anning, Pan Li, Partha S. Bhattacharjee, and Fanglin Yang. 2026. "Direct and Indirect Effects of Aerosols During the 2023 Canadian Wildfires" Atmosphere 17, no. 4: 337. https://doi.org/10.3390/atmos17040337

APA Style

Cheng, A., Li, P., Bhattacharjee, P. S., & Yang, F. (2026). Direct and Indirect Effects of Aerosols During the 2023 Canadian Wildfires. Atmosphere, 17(4), 337. https://doi.org/10.3390/atmos17040337

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