Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume
The photolysis module in Environment and Climate Change Canada's online chemical transport model GEM-MACH (GEM: Global Environmental Multi-scale – MACH: Modelling Air quality and Chemistry) was improved to make use of the online size and composition-resolved representation of atmospheric aeroso...
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ftdoajarticles:oai:doaj.org/article:791eb73f912e495d9ecd95d88590c595 2023-05-15T13:06:56+02:00 Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume M. Majdzadeh C. A. Stroud C. Sioris P. A. Makar A. Akingunola C. McLinden X. Zhao M. D. Moran I. Abboud J. Chen 2022-01-01T00:00:00Z https://doi.org/10.5194/gmd-15-219-2022 https://doaj.org/article/791eb73f912e495d9ecd95d88590c595 EN eng Copernicus Publications https://gmd.copernicus.org/articles/15/219/2022/gmd-15-219-2022.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-15-219-2022 1991-959X 1991-9603 https://doaj.org/article/791eb73f912e495d9ecd95d88590c595 Geoscientific Model Development, Vol 15, Pp 219-249 (2022) Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/gmd-15-219-2022 2022-12-30T20:21:52Z The photolysis module in Environment and Climate Change Canada's online chemical transport model GEM-MACH (GEM: Global Environmental Multi-scale – MACH: Modelling Air quality and Chemistry) was improved to make use of the online size and composition-resolved representation of atmospheric aerosols and relative humidity in GEM-MACH, to account for aerosol attenuation of radiation in the photolysis calculation. We coupled both the GEM-MACH aerosol module and the MESSy-JVAL (Modular Earth Submodel System) photolysis module, through the use of the online aerosol modeled data and a new Mie lookup table for the model-generated extinction efficiency, absorption and scattering cross sections of each aerosol type. The new algorithm applies a lensing correction factor to the black carbon absorption efficiency (core-shell parameterization) and calculates the scattering and absorption optical depth and asymmetry factor of black carbon, sea salt, dust and other internally mixed components. We carried out a series of simulations with the improved version of MESSy-JVAL and wildfire emission inputs from the Canadian Forest Fire Emissions Prediction System (CFFEPS) for 2 months, compared the model aerosol optical depth (AOD) output to the previous version of MESSy-JVAL, satellite data, ground-based measurements and reanalysis products, and evaluated the effects of AOD calculations and the interactive aerosol feedback on the performance of the GEM-MACH model. The comparison of the improved version of MESSy-JVAL with the previous version showed significant improvements in the model performance with the implementation of the new photolysis module and with adopting the online interactive aerosol concentrations in GEM-MACH. Incorporating these changes to the model resulted in an increase in the correlation coefficient from 0.17 to 0.37 between the GEM-MACH model AOD 1-month hourly output and AERONET (Aerosol Robotic Network) measurements across all the North American sites. Comparisons of the updated model AOD with AERONET ... Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Geoscientific Model Development 15 1 219 249 |
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Geology QE1-996.5 |
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Geology QE1-996.5 M. Majdzadeh C. A. Stroud C. Sioris P. A. Makar A. Akingunola C. McLinden X. Zhao M. D. Moran I. Abboud J. Chen Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume |
topic_facet |
Geology QE1-996.5 |
description |
The photolysis module in Environment and Climate Change Canada's online chemical transport model GEM-MACH (GEM: Global Environmental Multi-scale – MACH: Modelling Air quality and Chemistry) was improved to make use of the online size and composition-resolved representation of atmospheric aerosols and relative humidity in GEM-MACH, to account for aerosol attenuation of radiation in the photolysis calculation. We coupled both the GEM-MACH aerosol module and the MESSy-JVAL (Modular Earth Submodel System) photolysis module, through the use of the online aerosol modeled data and a new Mie lookup table for the model-generated extinction efficiency, absorption and scattering cross sections of each aerosol type. The new algorithm applies a lensing correction factor to the black carbon absorption efficiency (core-shell parameterization) and calculates the scattering and absorption optical depth and asymmetry factor of black carbon, sea salt, dust and other internally mixed components. We carried out a series of simulations with the improved version of MESSy-JVAL and wildfire emission inputs from the Canadian Forest Fire Emissions Prediction System (CFFEPS) for 2 months, compared the model aerosol optical depth (AOD) output to the previous version of MESSy-JVAL, satellite data, ground-based measurements and reanalysis products, and evaluated the effects of AOD calculations and the interactive aerosol feedback on the performance of the GEM-MACH model. The comparison of the improved version of MESSy-JVAL with the previous version showed significant improvements in the model performance with the implementation of the new photolysis module and with adopting the online interactive aerosol concentrations in GEM-MACH. Incorporating these changes to the model resulted in an increase in the correlation coefficient from 0.17 to 0.37 between the GEM-MACH model AOD 1-month hourly output and AERONET (Aerosol Robotic Network) measurements across all the North American sites. Comparisons of the updated model AOD with AERONET ... |
format |
Article in Journal/Newspaper |
author |
M. Majdzadeh C. A. Stroud C. Sioris P. A. Makar A. Akingunola C. McLinden X. Zhao M. D. Moran I. Abboud J. Chen |
author_facet |
M. Majdzadeh C. A. Stroud C. Sioris P. A. Makar A. Akingunola C. McLinden X. Zhao M. D. Moran I. Abboud J. Chen |
author_sort |
M. Majdzadeh |
title |
Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume |
title_short |
Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume |
title_full |
Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume |
title_fullStr |
Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume |
title_full_unstemmed |
Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume |
title_sort |
development of aerosol optical properties for improving the messy photolysis module in the gem-mach v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/gmd-15-219-2022 https://doaj.org/article/791eb73f912e495d9ecd95d88590c595 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Geoscientific Model Development, Vol 15, Pp 219-249 (2022) |
op_relation |
https://gmd.copernicus.org/articles/15/219/2022/gmd-15-219-2022.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-15-219-2022 1991-959X 1991-9603 https://doaj.org/article/791eb73f912e495d9ecd95d88590c595 |
op_doi |
https://doi.org/10.5194/gmd-15-219-2022 |
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Geoscientific Model Development |
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15 |
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1 |
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219 |
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249 |
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1766027598958166016 |