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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Feb 2025
Research article |
| 04 Feb 2025
| 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
Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, Maryland 20740, USA
Earth Science Directorate, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
Laboratory for Atmospheric and Space Physics, University of Colorado Boulder, Boulder, Colorado 80303, USA
Earth Science Directorate, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
Mian Chin
Earth Science Directorate, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
Susanne E. Bauer
NASA Goddard Institute for Space Studies, New York, New York, USA
Tommi Bergman
Climate System Research, Finnish Meteorological Institute, Helsinki, Finland
Huisheng Bian
Earth Science Directorate, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA
Gabriele Curci
Dipartimento di Scienze Fisiche e Chimiche – CETEMPS, Universita' degli Studi dell'Aquila, Via Vetoio, 67100 Coppito, L'Aquila, Italy
Ben Johnson
Met Office, Exeter, UK
Johannes W. Kaiser
Climate and Environmental Research Institute NILU, Kjeller, Norway
Zak Kipling
Department of Physics, University of Oxford, Oxford, UK
Harri Kokkola
Atmospheric Research Centre of Eastern Finland, Finnish Meteorological Institute, Kuopio, Finland
University of Eastern Finland, Department of Technical Physics, Kuopio, Finland
Xiaohong Liu
Department of Atmospheric Sciences, Texas A&M University, College Station, Texas, USA
Keren Mezuman
Center for Climate Systems Research, Columbia University, New York, New York, USA
NASA Goddard Institute for Space Studies, New York, New York, USA
Tero Mielonen
Atmospheric Research Centre of Eastern Finland, Finnish Meteorological Institute, Kuopio, Finland
Gunnar Myhre
CICERO Center for International Climate Research, Oslo, Norway
Xiaohua Pan
ADNET Systems, Inc., Bethesda, Maryland, USA
Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, Maryland 20740, USA
Anna Protonotariou
National and Kapodistrian University of Athens, Faculty of Physics, Athens, Greece
Samuel Remy
Hygeos, Lille, France
Ragnhild Bieltvedt Skeie
CICERO Center for International Climate Research, Oslo, Norway
Philip Stier
Department of Physics, University of Oxford, Oxford, UK
Toshihiko Takemura
Research Institute for Applied Mechanics, Kyushu University, Kasuga 816-8580, Fukuoka, Japan
Kostas Tsigaridis
Center for Climate Systems Research, Columbia University, New York, New York, USA
NASA Goddard Institute for Space Studies, New York, New York, USA
Hailong Wang
Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA
Duncan Watson-Parris
Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, California, USA
Kai Zhang
Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA
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Latest update: 08 Mar 2025
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.
We compared smoke plume simulations from 11 global models to each other and to satellite smoke...
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