Satellite-based evaluation of AeroCom model bias in biomass burning regions
International audience Global models are widely used to simulate biomass burning aerosol (BBA). Exhaustive evaluations on model representation of aerosol distributions and properties are fundamental to assess health and climate impacts of BBA. Here we conducted a comprehensive comparison of Aerosol...
Published in: | Atmospheric Chemistry and Physics |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2022
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Online Access: | https://insu.hal.science/insu-03824365 https://insu.hal.science/insu-03824365/document https://insu.hal.science/insu-03824365/file/acp-22-11009-2022.pdf https://doi.org/10.5194/acp-22-11009-2022 |
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English |
topic |
[SDU]Sciences of the Universe [physics] |
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[SDU]Sciences of the Universe [physics] Zhong, Qirui Schutgens, Nick van der Werf, Guido van Noije, Twan Tsigaridis, Kostas Bauer, Susanne E. Mielonen, Tero Kirkevåg, Alf Seland, Øyvind Kokkola, Harri Checa-Garcia, Ramiro Neubauer, David Kipling, Zak Matsui, Hitoshi Ginoux, Paul Takemura, Toshihiko Le Sager, Philippe Rémy, Samuel Bian, Huisheng Chin, Mian Zhang, Kai Zhu, Jialei Tsyro, Svetlana G. Curci, Gabriele Protonotariou, Anna Johnson, Ben Penner, Joyce E. Bellouin, Nicolas Skeie, Ragnhild B. Myhre, Gunnar Satellite-based evaluation of AeroCom model bias in biomass burning regions |
topic_facet |
[SDU]Sciences of the Universe [physics] |
description |
International audience Global models are widely used to simulate biomass burning aerosol (BBA). Exhaustive evaluations on model representation of aerosol distributions and properties are fundamental to assess health and climate impacts of BBA. Here we conducted a comprehensive comparison of Aerosol Comparisons between Observations and Models (AeroCom) project model simulations with satellite observations. A total of 59 runs by 18 models from three AeroCom Phase-III experiments (i.e., biomass burning emissions, CTRL16, and CTRL19) and 14 satellite products of aerosols were used in the study. Aerosol optical depth (AOD) at 550 nm was investigated during the fire season over three key fire regions reflecting different fire dynamics (i.e., deforestation-dominated Amazon, Southern Hemisphere Africa where savannas are the key source of emissions, and boreal forest burning in boreal North America). The 14 satellite products were first evaluated against AErosol RObotic NETwork (AERONET) observations, with large uncertainties found. But these uncertainties had small impacts on the model evaluation that was dominated by modeling bias. Through a comparison with Polarization and Directionality of the Earth's Reflectances measurements with the Generalized Retrieval of Aerosol and Surface Properties algorithm (POLDER-GRASP), we found that the modeled AOD values were biased by -93 % to 152 %, with most models showing significant underestimations even for the state-of-the-art aerosol modeling techniques (i.e., CTRL19). By scaling up BBA emissions, the negative biases in modeled AOD were significantly mitigated, although it yielded only negligible improvements in the correlation between models and observations, and the spatial and temporal variations in AOD biases did not change much. For models in CTRL16 and CTRL19, the large diversity in modeled AOD was in almost equal measures caused by diversity in emissions, lifetime, and the mass extinction coefficient (MEC). We found that in the AeroCom ensemble, BBA lifetime correlated ... |
author2 |
Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) |
format |
Article in Journal/Newspaper |
author |
Zhong, Qirui Schutgens, Nick van der Werf, Guido van Noije, Twan Tsigaridis, Kostas Bauer, Susanne E. Mielonen, Tero Kirkevåg, Alf Seland, Øyvind Kokkola, Harri Checa-Garcia, Ramiro Neubauer, David Kipling, Zak Matsui, Hitoshi Ginoux, Paul Takemura, Toshihiko Le Sager, Philippe Rémy, Samuel Bian, Huisheng Chin, Mian Zhang, Kai Zhu, Jialei Tsyro, Svetlana G. Curci, Gabriele Protonotariou, Anna Johnson, Ben Penner, Joyce E. Bellouin, Nicolas Skeie, Ragnhild B. Myhre, Gunnar |
author_facet |
Zhong, Qirui Schutgens, Nick van der Werf, Guido van Noije, Twan Tsigaridis, Kostas Bauer, Susanne E. Mielonen, Tero Kirkevåg, Alf Seland, Øyvind Kokkola, Harri Checa-Garcia, Ramiro Neubauer, David Kipling, Zak Matsui, Hitoshi Ginoux, Paul Takemura, Toshihiko Le Sager, Philippe Rémy, Samuel Bian, Huisheng Chin, Mian Zhang, Kai Zhu, Jialei Tsyro, Svetlana G. Curci, Gabriele Protonotariou, Anna Johnson, Ben Penner, Joyce E. Bellouin, Nicolas Skeie, Ragnhild B. Myhre, Gunnar |
author_sort |
Zhong, Qirui |
title |
Satellite-based evaluation of AeroCom model bias in biomass burning regions |
title_short |
Satellite-based evaluation of AeroCom model bias in biomass burning regions |
title_full |
Satellite-based evaluation of AeroCom model bias in biomass burning regions |
title_fullStr |
Satellite-based evaluation of AeroCom model bias in biomass burning regions |
title_full_unstemmed |
Satellite-based evaluation of AeroCom model bias in biomass burning regions |
title_sort |
satellite-based evaluation of aerocom model bias in biomass burning regions |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://insu.hal.science/insu-03824365 https://insu.hal.science/insu-03824365/document https://insu.hal.science/insu-03824365/file/acp-22-11009-2022.pdf https://doi.org/10.5194/acp-22-11009-2022 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://insu.hal.science/insu-03824365 Atmospheric Chemistry and Physics, 2022, 22, pp.11009-11032. ⟨10.5194/acp-22-11009-2022⟩ |
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info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-22-11009-2022 insu-03824365 https://insu.hal.science/insu-03824365 https://insu.hal.science/insu-03824365/document https://insu.hal.science/insu-03824365/file/acp-22-11009-2022.pdf BIBCODE: 2022ACP.2211009Z doi:10.5194/acp-22-11009-2022 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/acp-22-11009-2022 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
22 |
container_issue |
17 |
container_start_page |
11009 |
op_container_end_page |
11032 |
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ftceafr:oai:HAL:insu-03824365v1 2024-09-15T17:35:16+00:00 Satellite-based evaluation of AeroCom model bias in biomass burning regions Zhong, Qirui Schutgens, Nick van der Werf, Guido van Noije, Twan Tsigaridis, Kostas Bauer, Susanne E. Mielonen, Tero Kirkevåg, Alf Seland, Øyvind Kokkola, Harri Checa-Garcia, Ramiro Neubauer, David Kipling, Zak Matsui, Hitoshi Ginoux, Paul Takemura, Toshihiko Le Sager, Philippe Rémy, Samuel Bian, Huisheng Chin, Mian Zhang, Kai Zhu, Jialei Tsyro, Svetlana G. Curci, Gabriele Protonotariou, Anna Johnson, Ben Penner, Joyce E. Bellouin, Nicolas Skeie, Ragnhild B. Myhre, Gunnar Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) 2022 https://insu.hal.science/insu-03824365 https://insu.hal.science/insu-03824365/document https://insu.hal.science/insu-03824365/file/acp-22-11009-2022.pdf https://doi.org/10.5194/acp-22-11009-2022 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-22-11009-2022 insu-03824365 https://insu.hal.science/insu-03824365 https://insu.hal.science/insu-03824365/document https://insu.hal.science/insu-03824365/file/acp-22-11009-2022.pdf BIBCODE: 2022ACP.2211009Z doi:10.5194/acp-22-11009-2022 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://insu.hal.science/insu-03824365 Atmospheric Chemistry and Physics, 2022, 22, pp.11009-11032. ⟨10.5194/acp-22-11009-2022⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2022 ftceafr https://doi.org/10.5194/acp-22-11009-2022 2024-07-22T13:09:20Z International audience Global models are widely used to simulate biomass burning aerosol (BBA). Exhaustive evaluations on model representation of aerosol distributions and properties are fundamental to assess health and climate impacts of BBA. Here we conducted a comprehensive comparison of Aerosol Comparisons between Observations and Models (AeroCom) project model simulations with satellite observations. A total of 59 runs by 18 models from three AeroCom Phase-III experiments (i.e., biomass burning emissions, CTRL16, and CTRL19) and 14 satellite products of aerosols were used in the study. Aerosol optical depth (AOD) at 550 nm was investigated during the fire season over three key fire regions reflecting different fire dynamics (i.e., deforestation-dominated Amazon, Southern Hemisphere Africa where savannas are the key source of emissions, and boreal forest burning in boreal North America). The 14 satellite products were first evaluated against AErosol RObotic NETwork (AERONET) observations, with large uncertainties found. But these uncertainties had small impacts on the model evaluation that was dominated by modeling bias. Through a comparison with Polarization and Directionality of the Earth's Reflectances measurements with the Generalized Retrieval of Aerosol and Surface Properties algorithm (POLDER-GRASP), we found that the modeled AOD values were biased by -93 % to 152 %, with most models showing significant underestimations even for the state-of-the-art aerosol modeling techniques (i.e., CTRL19). By scaling up BBA emissions, the negative biases in modeled AOD were significantly mitigated, although it yielded only negligible improvements in the correlation between models and observations, and the spatial and temporal variations in AOD biases did not change much. For models in CTRL16 and CTRL19, the large diversity in modeled AOD was in almost equal measures caused by diversity in emissions, lifetime, and the mass extinction coefficient (MEC). We found that in the AeroCom ensemble, BBA lifetime correlated ... Article in Journal/Newspaper Aerosol Robotic Network HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) Atmospheric Chemistry and Physics 22 17 11009 11032 |