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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ftdoajarticles:oai:doaj.org/article:6f69f53f53f548dc8d022ef23d7406bb 2023-05-15T18:25:35+02:00 Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations Y. H. Lee P. J. Adams 2010-03-01T00:00:00Z https://doaj.org/article/6f69f53f53f548dc8d022ef23d7406bb EN eng Copernicus Publications http://www.atmos-chem-phys.net/10/2129/2010/acp-10-2129-2010.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 1680-7316 1680-7324 https://doaj.org/article/6f69f53f53f548dc8d022ef23d7406bb Atmospheric Chemistry and Physics, Vol 10, Iss 5, Pp 2129-2144 (2010) Physics QC1-999 Chemistry QD1-999 article 2010 ftdoajarticles 2022-12-31T04:20:11Z 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. Article in Journal/Newspaper Southern Ocean Directory of Open Access Journals: DOAJ Articles Southern Ocean |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Physics QC1-999 Chemistry QD1-999 |
spellingShingle |
Physics QC1-999 Chemistry QD1-999 Y. H. Lee P. J. Adams Evaluation of aerosol distributions in the GISS-TOMAS global aerosol microphysics model with remote sensing observations |
topic_facet |
Physics QC1-999 Chemistry QD1-999 |
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 |
Article in Journal/Newspaper |
author |
Y. H. Lee P. J. Adams |
author_facet |
Y. H. Lee P. J. Adams |
author_sort |
Y. H. Lee |
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 |
publisher |
Copernicus Publications |
publishDate |
2010 |
url |
https://doaj.org/article/6f69f53f53f548dc8d022ef23d7406bb |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Atmospheric Chemistry and Physics, Vol 10, Iss 5, Pp 2129-2144 (2010) |
op_relation |
http://www.atmos-chem-phys.net/10/2129/2010/acp-10-2129-2010.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 1680-7316 1680-7324 https://doaj.org/article/6f69f53f53f548dc8d022ef23d7406bb |
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1766207142777323520 |