Preprints
https://doi.org/10.5194/egusphere-2025-2603
https://doi.org/10.5194/egusphere-2025-2603
30 Jun 2025
 | 30 Jun 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

The Sensitivity of Smoke Aerosol Dispersion to Smoke Injection Height and Source-Strength in Multiple AeroCom Models

Xiaohua Pan, Mian Chin, Ralph A. Kahn, Hitoshi Matsui, Toshihiko Takemura, Meiyun Lin, Yuanyu Xie, Dongchul Kim, and Maria Val Martin

Abstract. The near-source and downwind impacts of smoke aerosols depend on both emitted mass and injection height. This study examines aerosol dispersion sensitivity to these factors using four global models from the AeroCom Phase III Biomass Burning Emission and Injection Height (BBEIH) experiment. Each model performed four simulations: (1) BASE, using a common emission inventory with default injection height; (2) BBIH, with vertical distribution adjusted using MISR plume heights; (3) BBEM, with an alternative emission inventory; and (4) NOBB, excluding biomass burning emissions. The focus is the April 2008 Siberian wildfire event. Aerosol optical depth (AOD) varied across models. The BASE model median is 27 % higher than the satellite median over the Siberian wildfire source region but is 37 % lower over the western North Pacific, indicating inadequate long-range transport or overly rapid aerosol removal in all models. Near the source, all models overestimate aerosol extinction below 2 km, suggesting injection heights were too low. The MISR plume heights slightly improved simulations, but downwind AOD remained largely underestimated. In BBEM, increased emissions in the models enhanced AOD near the source but did not improve AOD vertical structure there or downwind. Notably, CALIOP detected aerosol layers above 6 km from the source to downwind regions – features absent in all model simulations. These findings suggest that increasing emission strength alone is insufficient; improving vertical injection near-source to loft more smoke above 3 km in Siberia and reducing excessive aerosol wet removal during transport are critical.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Xiaohua Pan, Mian Chin, Ralph A. Kahn, Hitoshi Matsui, Toshihiko Takemura, Meiyun Lin, Yuanyu Xie, Dongchul Kim, and Maria Val Martin

Status: open (until 11 Aug 2025)

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Xiaohua Pan, Mian Chin, Ralph A. Kahn, Hitoshi Matsui, Toshihiko Takemura, Meiyun Lin, Yuanyu Xie, Dongchul Kim, and Maria Val Martin
Xiaohua Pan, Mian Chin, Ralph A. Kahn, Hitoshi Matsui, Toshihiko Takemura, Meiyun Lin, Yuanyu Xie, Dongchul Kim, and Maria Val Martin

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Short summary
Wildfire smoke can travel thousands of kilometers, affecting air quality far from the fire itself. This study looks at how two key factors – how much smoke is emitted & how high it rises – affect how smoke spreads. Using data from a major 2008 Siberian wildfire, four computer models were tested. Results show that models often inject smoke too low & remove it too quickly, missing high-altitude smoke seen by satellites. Better estimates of smoke height are crucial to improve air quality forecasts.
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