Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations
The Aerosol Optical Depth (AOD) and Angstrom Coefficient (AC) predictions in the GISS-TOMAS model of global aerosol microphysics are evaluated against remote sensing data from MODIS, MISR, and AERONET. The model AOD agrees well (within a factor of two) over polluted continental (or high sulfate), du...
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ftcopernicus:oai:publications.copernicus.org:acp1693 2023-05-15T18:25:33+02:00 Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations Lee, Y. H. Adams, P. J. 2018-01-15 application/pdf https://doi.org/10.5194/acp-10-2129-2010 https://www.atmos-chem-phys.net/10/2129/2010/ eng eng doi:10.5194/acp-10-2129-2010 https://www.atmos-chem-phys.net/10/2129/2010/ eISSN: 1680-7324 Text 2018 ftcopernicus https://doi.org/10.5194/acp-10-2129-2010 2019-12-24T09:57:30Z The Aerosol Optical Depth (AOD) and Angstrom Coefficient (AC) predictions in the GISS-TOMAS model of global aerosol microphysics are evaluated against remote sensing data from MODIS, MISR, and AERONET. The model AOD agrees well (within a factor of two) over polluted continental (or high sulfate), dusty, and moderate sea-salt regions but less well over the equatorial, high sea-salt, and biomass burning regions. Underprediction of sea-salt in the equatorial region is likely due to GCM meteorology (low wind speeds and high precipitation). For the Southern Ocean, overprediction of AOD is very likely due to high sea-salt emissions and perhaps aerosol water uptake in the model. However, uncertainties in cloud screening at high latitudes make it difficult to evaluate the model AOD there with the satellite-based AOD. AOD in biomass burning regions is underpredicted, a tendency found in other global models but more severely here. Using measurements from the LBA-SMOCC 2002 campaign, the surface-level OC concentration in the model are found to be underpredicted severely during the dry season while much less severely for EC concentration, suggesting the low AOD in the model is due to underpredictions in OM mass. The potential for errors in emissions and wet deposition to contribute to this bias is discussed. Text Southern Ocean Copernicus Publications: E-Journals Southern Ocean Atmospheric Chemistry and Physics 10 5 2129 2144 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
The Aerosol Optical Depth (AOD) and Angstrom Coefficient (AC) predictions in the GISS-TOMAS model of global aerosol microphysics are evaluated against remote sensing data from MODIS, MISR, and AERONET. The model AOD agrees well (within a factor of two) over polluted continental (or high sulfate), dusty, and moderate sea-salt regions but less well over the equatorial, high sea-salt, and biomass burning regions. Underprediction of sea-salt in the equatorial region is likely due to GCM meteorology (low wind speeds and high precipitation). For the Southern Ocean, overprediction of AOD is very likely due to high sea-salt emissions and perhaps aerosol water uptake in the model. However, uncertainties in cloud screening at high latitudes make it difficult to evaluate the model AOD there with the satellite-based AOD. AOD in biomass burning regions is underpredicted, a tendency found in other global models but more severely here. Using measurements from the LBA-SMOCC 2002 campaign, the surface-level OC concentration in the model are found to be underpredicted severely during the dry season while much less severely for EC concentration, suggesting the low AOD in the model is due to underpredictions in OM mass. The potential for errors in emissions and wet deposition to contribute to this bias is discussed. |
format |
Text |
author |
Lee, Y. H. Adams, P. J. |
spellingShingle |
Lee, Y. H. Adams, P. J. Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations |
author_facet |
Lee, Y. H. Adams, P. J. |
author_sort |
Lee, Y. H. |
title |
Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations |
title_short |
Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations |
title_full |
Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations |
title_fullStr |
Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations |
title_full_unstemmed |
Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations |
title_sort |
evaluation of aerosol distributions in the giss-tomas global aerosol microphysics model with remote sensing observations |
publishDate |
2018 |
url |
https://doi.org/10.5194/acp-10-2129-2010 https://www.atmos-chem-phys.net/10/2129/2010/ |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
eISSN: 1680-7324 |
op_relation |
doi:10.5194/acp-10-2129-2010 https://www.atmos-chem-phys.net/10/2129/2010/ |
op_doi |
https://doi.org/10.5194/acp-10-2129-2010 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
10 |
container_issue |
5 |
container_start_page |
2129 |
op_container_end_page |
2144 |
_version_ |
1766207082765221888 |