Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories
<p>We assessed the biomass burning (BB) smoke aerosol optical depth (AOD) simulations of 11 global models that participated in the AeroCom phase III BB emission experiment. By comparing multi-model simulations and satellite observations in the vicinity of fires over 13 regions globally, we (1)...
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Copernicus Publications
2025-02-01
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| Series: | Atmospheric Chemistry and Physics |
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| author | M. Petrenko M. Petrenko R. Kahn R. Kahn M. Chin S. E. Bauer T. Bergman H. Bian G. Curci B. Johnson J. W. Kaiser Z. Kipling H. Kokkola H. Kokkola X. Liu K. Mezuman K. Mezuman T. Mielonen G. Myhre X. Pan X. Pan A. Protonotariou S. Remy R. B. Skeie P. Stier T. Takemura K. Tsigaridis K. Tsigaridis H. Wang D. Watson-Parris D. Watson-Parris K. Zhang |
| author_facet | M. Petrenko M. Petrenko R. Kahn R. Kahn M. Chin S. E. Bauer T. Bergman H. Bian G. Curci B. Johnson J. W. Kaiser Z. Kipling H. Kokkola H. Kokkola X. Liu K. Mezuman K. Mezuman T. Mielonen G. Myhre X. Pan X. Pan A. Protonotariou S. Remy R. B. Skeie P. Stier T. Takemura K. Tsigaridis K. Tsigaridis H. Wang D. Watson-Parris D. Watson-Parris K. Zhang |
| author_sort | M. Petrenko |
| collection | DOAJ |
| description | <p>We assessed the biomass burning (BB) smoke aerosol optical depth (AOD) simulations of 11 global models that participated in the AeroCom phase III BB emission experiment. By comparing multi-model simulations and satellite observations in the vicinity of fires over 13 regions globally, we (1) assess model-simulated BB<span id="page1546"/> AOD performance as an indication of smoke source–strength, (2) identify regions where the common emission dataset used by the models might underestimate or overestimate smoke sources, and (3) assess model diversity and identify underlying causes as much as possible. Using satellite-derived AOD snapshots to constrain source strength works best where BB smoke from active sources dominates background non-BB aerosol, such as in boreal forest regions and over South America and southern hemispheric Africa. The comparison is inconclusive where the total AOD is low, as in many agricultural burning areas, and where the background is high, such as parts of India and China. Many inter-model BB AOD differences can be traced to differences in values for the mass ratio of organic aerosol to organic carbon, the BB aerosol mass extinction efficiency, and the aerosol loss rate from each model. The results point to a need for increased numbers of available BB cases for study in some regions and especially to a need for more extensive regional-to-global-scale measurements of aerosol loss rates and of detailed particle microphysical and optical properties; this would both better constrain models and help distinguish BB from other aerosol types in satellite retrievals. More generally, there is the need for additional efforts at constraining aerosol source strength and other model attributes with multi-platform observations.</p> |
| format | Article |
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| institution | Kabale University |
| issn | 1680-7316 1680-7324 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Copernicus Publications |
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| series | Atmospheric Chemistry and Physics |
| spelling | doaj-art-9c75693a9d9d404dacedba66b1cf08cb2025-02-04T10:38:49ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242025-02-01251545156710.5194/acp-25-1545-2025Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventoriesM. Petrenko0M. Petrenko1R. Kahn2R. Kahn3M. Chin4S. E. Bauer5T. Bergman6H. Bian7G. Curci8B. Johnson9J. W. Kaiser10Z. Kipling11H. Kokkola12H. Kokkola13X. Liu14K. Mezuman15K. Mezuman16T. Mielonen17G. Myhre18X. Pan19X. Pan20A. Protonotariou21S. Remy22R. B. Skeie23P. Stier24T. Takemura25K. Tsigaridis26K. Tsigaridis27H. Wang28D. Watson-Parris29D. Watson-Parris30K. Zhang31Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, Maryland 20740, USAEarth Science Directorate, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USAEarth Science Directorate, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USALaboratory for Atmospheric and Space Physics, University of Colorado Boulder, Boulder, Colorado 80303, USAEarth Science Directorate, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USANASA Goddard Institute for Space Studies, New York, New York, USAClimate System Research, Finnish Meteorological Institute, Helsinki, FinlandEarth Science Directorate, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USADipartimento di Scienze Fisiche e Chimiche – CETEMPS, Universita' degli Studi dell'Aquila, Via Vetoio, 67100 Coppito, L'Aquila, ItalyMet Office, Exeter, UKClimate and Environmental Research Institute NILU, Kjeller, NorwayDepartment of Physics, University of Oxford, Oxford, UKAtmospheric Research Centre of Eastern Finland, Finnish Meteorological Institute, Kuopio, FinlandUniversity of Eastern Finland, Department of Technical Physics, Kuopio, FinlandDepartment of Atmospheric Sciences, Texas A&M University, College Station, Texas, USANASA Goddard Institute for Space Studies, New York, New York, USACenter for Climate Systems Research, Columbia University, New York, New York, USAAtmospheric Research Centre of Eastern Finland, Finnish Meteorological Institute, Kuopio, FinlandCICERO Center for International Climate Research, Oslo, NorwayEarth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, Maryland 20740, USAADNET Systems, Inc., Bethesda, Maryland, USANational and Kapodistrian University of Athens, Faculty of Physics, Athens, GreeceHygeos, Lille, FranceCICERO Center for International Climate Research, Oslo, NorwayDepartment of Physics, University of Oxford, Oxford, UKResearch Institute for Applied Mechanics, Kyushu University, Kasuga 816-8580, Fukuoka, JapanNASA Goddard Institute for Space Studies, New York, New York, USACenter for Climate Systems Research, Columbia University, New York, New York, USAAtmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USAScripps Institution of Oceanography, University of California San Diego, La Jolla, California, USAHalıcıoğlu Data Science Institute, University of California San Diego, La Jolla, California, USAAtmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA<p>We assessed the biomass burning (BB) smoke aerosol optical depth (AOD) simulations of 11 global models that participated in the AeroCom phase III BB emission experiment. By comparing multi-model simulations and satellite observations in the vicinity of fires over 13 regions globally, we (1) assess model-simulated BB<span id="page1546"/> AOD performance as an indication of smoke source–strength, (2) identify regions where the common emission dataset used by the models might underestimate or overestimate smoke sources, and (3) assess model diversity and identify underlying causes as much as possible. Using satellite-derived AOD snapshots to constrain source strength works best where BB smoke from active sources dominates background non-BB aerosol, such as in boreal forest regions and over South America and southern hemispheric Africa. The comparison is inconclusive where the total AOD is low, as in many agricultural burning areas, and where the background is high, such as parts of India and China. Many inter-model BB AOD differences can be traced to differences in values for the mass ratio of organic aerosol to organic carbon, the BB aerosol mass extinction efficiency, and the aerosol loss rate from each model. The results point to a need for increased numbers of available BB cases for study in some regions and especially to a need for more extensive regional-to-global-scale measurements of aerosol loss rates and of detailed particle microphysical and optical properties; this would both better constrain models and help distinguish BB from other aerosol types in satellite retrievals. More generally, there is the need for additional efforts at constraining aerosol source strength and other model attributes with multi-platform observations.</p>https://acp.copernicus.org/articles/25/1545/2025/acp-25-1545-2025.pdf |
| spellingShingle | M. Petrenko M. Petrenko R. Kahn R. Kahn M. Chin S. E. Bauer T. Bergman H. Bian G. Curci B. Johnson J. W. Kaiser Z. Kipling H. Kokkola H. Kokkola X. Liu K. Mezuman K. Mezuman T. Mielonen G. Myhre X. Pan X. Pan A. Protonotariou S. Remy R. B. Skeie P. Stier T. Takemura K. Tsigaridis K. Tsigaridis H. Wang D. Watson-Parris D. Watson-Parris K. Zhang Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories Atmospheric Chemistry and Physics |
| title | Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories |
| title_full | Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories |
| title_fullStr | Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories |
| title_full_unstemmed | Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories |
| title_short | Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories |
| title_sort | biomass burning emission analysis based on modis aerosol optical depth and aerocom multi model simulations implications for model constraints and emission inventories |
| url | https://acp.copernicus.org/articles/25/1545/2025/acp-25-1545-2025.pdf |
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