Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties
Accurate representation of aerosol optical properties is essential for the modeling and remote sensing of atmospheric aerosols. Although aerosol optical properties are strongly dependent upon the aerosol size distribution, the use of detailed aerosol microphysics schemes in global atmospheric models...
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Online Access: | https://doi.org/10.5194/acp-23-5023-2023 |
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ftncar:oai:drupal-site.org:articles_26259 2024-04-14T08:00:18+00:00 Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties Zhu, Haihui (author) Martin, Randall V. (author) Croft, Betty (author) Zhai, Shixian (author) Li, Chi (author) Bindle, Liam (author) Pierce, Jeffrey R. (author) Chang, Rachel Y.-W. (author) Anderson, Bruce E. (author) Ziemba, Luke D. (author) Hair, Johnathan W. (author) Ferrare, Richard A. (author) Hostetler, Chris A. (author) Singh, Inderjeet (author) Chatterjee, Deepangsu (author) Jimenez, Jose L. (author) Campuzano-Jost, Pedro (author) Nault, Benjamin A. (author) Dibb, Jack E. (author) Schwarz, Joshua S. (author) Weinheimer, Andrew (author) 2023-05-04 https://doi.org/10.5194/acp-23-5023-2023 en eng Atmospheric Chemistry and Physics--Atmos. Chem. Phys.--1680-7324 Korea United States Air Quality Study--10.5067/Suborbital/KORUSAQ/DATA01 geoschem/GCClassic: GEOS-Chem 13.0.0--10.5281/zenodo.4618180 articles:26259 doi:10.5194/acp-23-5023-2023 ark:/85065/d70p1402 Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. article Text 2023 ftncar https://doi.org/10.5194/acp-23-5023-2023 2024-03-21T18:00:26Z Accurate representation of aerosol optical properties is essential for the modeling and remote sensing of atmospheric aerosols. Although aerosol optical properties are strongly dependent upon the aerosol size distribution, the use of detailed aerosol microphysics schemes in global atmospheric models is inhibited by associated computational demands. Computationally efficient parameterizations for aerosol size are needed. In this study, airborne measurements over the United States (DISCOVER-AQ) and South Korea (KORUS-AQ) are interpreted with a global chemical transport model (GEOS-Chem) to investigate the variation in aerosol size when organic matter (OM) and sulfate–nitrate–ammonium (SNA) are the dominant aerosol components. The airborne measurements exhibit a strong correlation (r=0.83) between dry aerosol size and the sum of OM and SNA mass concentration (MSNAOM). A global microphysical simulation (GEOS-Chem-TOMAS) indicates that MSNAOM and the ratio between the two components () are the major indicators for SNA and OM dry aerosol size. A parameterization of the dry effective radius (Reff) for SNA and OM aerosol is designed to represent the airborne measurements (R2=0.74; slope = 1.00) and the GEOS-Chem-TOMAS simulation (R2=0.72; slope = 0.81). When applied in the GEOS-Chem high-performance model, this parameterization improves the agreement between the simulated aerosol optical depth (AOD) and the ground-measured AOD from the Aerosol Robotic Network (AERONET; R2 from 0.68 to 0.73 and slope from 0.75 to 0.96). Thus, this parameterization offers a computationally efficient method to represent aerosol size dynamically. Article in Journal/Newspaper Aerosol Robotic Network OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Atmospheric Chemistry and Physics 23 9 5023 5042 |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
description |
Accurate representation of aerosol optical properties is essential for the modeling and remote sensing of atmospheric aerosols. Although aerosol optical properties are strongly dependent upon the aerosol size distribution, the use of detailed aerosol microphysics schemes in global atmospheric models is inhibited by associated computational demands. Computationally efficient parameterizations for aerosol size are needed. In this study, airborne measurements over the United States (DISCOVER-AQ) and South Korea (KORUS-AQ) are interpreted with a global chemical transport model (GEOS-Chem) to investigate the variation in aerosol size when organic matter (OM) and sulfate–nitrate–ammonium (SNA) are the dominant aerosol components. The airborne measurements exhibit a strong correlation (r=0.83) between dry aerosol size and the sum of OM and SNA mass concentration (MSNAOM). A global microphysical simulation (GEOS-Chem-TOMAS) indicates that MSNAOM and the ratio between the two components () are the major indicators for SNA and OM dry aerosol size. A parameterization of the dry effective radius (Reff) for SNA and OM aerosol is designed to represent the airborne measurements (R2=0.74; slope = 1.00) and the GEOS-Chem-TOMAS simulation (R2=0.72; slope = 0.81). When applied in the GEOS-Chem high-performance model, this parameterization improves the agreement between the simulated aerosol optical depth (AOD) and the ground-measured AOD from the Aerosol Robotic Network (AERONET; R2 from 0.68 to 0.73 and slope from 0.75 to 0.96). Thus, this parameterization offers a computationally efficient method to represent aerosol size dynamically. |
author2 |
Zhu, Haihui (author) Martin, Randall V. (author) Croft, Betty (author) Zhai, Shixian (author) Li, Chi (author) Bindle, Liam (author) Pierce, Jeffrey R. (author) Chang, Rachel Y.-W. (author) Anderson, Bruce E. (author) Ziemba, Luke D. (author) Hair, Johnathan W. (author) Ferrare, Richard A. (author) Hostetler, Chris A. (author) Singh, Inderjeet (author) Chatterjee, Deepangsu (author) Jimenez, Jose L. (author) Campuzano-Jost, Pedro (author) Nault, Benjamin A. (author) Dibb, Jack E. (author) Schwarz, Joshua S. (author) Weinheimer, Andrew (author) |
format |
Article in Journal/Newspaper |
title |
Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties |
spellingShingle |
Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties |
title_short |
Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties |
title_full |
Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties |
title_fullStr |
Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties |
title_full_unstemmed |
Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties |
title_sort |
parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties |
publishDate |
2023 |
url |
https://doi.org/10.5194/acp-23-5023-2023 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
Atmospheric Chemistry and Physics--Atmos. Chem. Phys.--1680-7324 Korea United States Air Quality Study--10.5067/Suborbital/KORUSAQ/DATA01 geoschem/GCClassic: GEOS-Chem 13.0.0--10.5281/zenodo.4618180 articles:26259 doi:10.5194/acp-23-5023-2023 ark:/85065/d70p1402 |
op_rights |
Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
op_doi |
https://doi.org/10.5194/acp-23-5023-2023 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
23 |
container_issue |
9 |
container_start_page |
5023 |
op_container_end_page |
5042 |
_version_ |
1796299450312818688 |