Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories

Petrenko, Mariya; Kahn, Ralph; Chin, Mian; Bauer, Susanne E.; Bergman, Tommi; Bian, Huisheng; Curci, Gabriele; Johnson, Ben; Kaiser, Johannes W.; Kipling, Zak; Kokkola, Harri; Liu, Xiaohong; Mezuman, Keren; Mielonen, Tero; Myhre, Gunnar; Pan, Xiaohua; Protonotariou, Anna; Remy, Samuel; Skeie, Ragnhild Bieltvedt; Stier, Philip; Takemura, Toshihiko; Tsigaridis, Kostas; Wang, Hailong; Watson-Parris, Duncan; Zhang, Kai

doi:https://doi.org/10.5194/acp-25-1545-2025

Articles | Volume 25, issue 3

https://doi.org/10.5194/acp-25-1545-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-1545-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 3

Research article

|

04 Feb 2025

Research article |

| 04 Feb 2025

Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories

Mariya Petrenko, Ralph Kahn, Mian Chin, Susanne E. Bauer, Tommi Bergman, Huisheng Bian, Gabriele Curci, Ben Johnson, Johannes W. Kaiser, Zak Kipling, Harri Kokkola, Xiaohong Liu, Keren Mezuman, Tero Mielonen, Gunnar Myhre, Xiaohua Pan, Anna Protonotariou, Samuel Remy, Ragnhild Bieltvedt Skeie, Philip Stier, Toshihiko Takemura, Kostas Tsigaridis, Hailong Wang, Duncan Watson-Parris, and Kai Zhang

Supplement

https://doi.org/10.5194/acp-25-1545-2025-supplement

Data sets

MODIS Atmosphere L2 Aerosol Product. NASA MODIS Adaptive Processing System R. Levy et al. https://doi.org/10.5067/MODIS/MOD04_L2.061

MODIS Atmosphere L2 Aerosol Product. NASA MODIS Adaptive Processing System R. Levy et al. https://doi.org/10.5067/MODIS/MYD04_L2.061

MOD14 MODIS/Terra Thermal Anomalies/Fire 5-Min L2 Swath 1km V006 L. Giglio and C. Justice https://doi.org/10.5067/MODIS/MOD14.006

MYD14 MODIS/Thermal Anomalies/Fire 5-Min L2 Swath 1km L. Giglio and C. Justice https://doi.org/10.5067/MODIS/MYD14.006

MODIS 1km Calibrated Radiances Product MODIS Characterization Support Team (MCST) https://doi.org/10.5067/MODIS/MOD021KM.061

Global Fire Emissions Database J. T. Randerson et al. https://doi.org/10.3334/ORNLDAAC/1191

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Short summary

We compared smoke plume simulations from 11 global models to each other and to satellite smoke amount observations aimed at constraining smoke source strength. In regions where plumes are thick and background aerosol is low, models and satellites compare well. However, the input emission inventory tends to underestimate in many places, and particle property and loss rate assumptions vary enormously among models, causing uncertainties that require systematic in situ measurements to resolve.