Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model
[1] We compare aerosol optical depth (AOD) and single scattering albedo (SSA) simulated by updated configurations of a version of the atmospheric model (AM2) component of the NOAA Geophysical Fluid Dynamics Laboratory general circulation model over Southern Hemisphere Africa with AOD and SSA derived...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.452.1587 2023-05-15T13:06:33+02:00 Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model Brian I. Magi Paul Ginoux Yi Ming V. Ramaswamy The Pennsylvania State University CiteSeerX Archives 2009 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.1587 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.1587 Metadata may be used without restrictions as long as the oai identifier remains attached to it. https://www.gfdl.noaa.gov/cms-filesystem-action/user_files/bim/magietal2009.pdf text 2009 ftciteseerx 2016-01-08T05:56:35Z [1] We compare aerosol optical depth (AOD) and single scattering albedo (SSA) simulated by updated configurations of a version of the atmospheric model (AM2) component of the NOAA Geophysical Fluid Dynamics Laboratory general circulation model over Southern Hemisphere Africa with AOD and SSA derived from research aircraft measurements and NASA Aerosol Robotic Network (AERONET) stations and with regional AOD from the NASA Moderate Resolution Imaging Spectroradiometer satellite. The results of the comparisons suggest that AM2 AOD is biased low by 30–40% in the tropics and 0–20 % in the extratropics, while AM2 SSA is biased high by 4–8%. The AM2 SSA bias is higher during the biomass burning season, and the monthly variations in AM2 SSA are poorly correlated with AERONET. On the basis of a comparison of aerosol mass in the models with measurements from southern Africa, and a detailed analysis of aerosol treatment in AM2, we suggest that the low bias in AOD and high bias in SSA are related to an underestimate of carbonaceous aerosol emissions in the biomass burning inventories used by AM2. Increases in organic matter and black carbon emissions by factors of 1.6 and 3.8 over southern Africa improve the biases in AOD and especially SSA. We estimate that the AM2 biases in AOD and SSA imply that the magnitude of annual top of the atmosphere radiative forcing in clear-sky conditions over southern Africa is overestimated (too negative) by 8 % while surface radiative forcing is underestimated (not negative enough) by 20%. Text Aerosol Robotic Network Unknown |
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[1] We compare aerosol optical depth (AOD) and single scattering albedo (SSA) simulated by updated configurations of a version of the atmospheric model (AM2) component of the NOAA Geophysical Fluid Dynamics Laboratory general circulation model over Southern Hemisphere Africa with AOD and SSA derived from research aircraft measurements and NASA Aerosol Robotic Network (AERONET) stations and with regional AOD from the NASA Moderate Resolution Imaging Spectroradiometer satellite. The results of the comparisons suggest that AM2 AOD is biased low by 30–40% in the tropics and 0–20 % in the extratropics, while AM2 SSA is biased high by 4–8%. The AM2 SSA bias is higher during the biomass burning season, and the monthly variations in AM2 SSA are poorly correlated with AERONET. On the basis of a comparison of aerosol mass in the models with measurements from southern Africa, and a detailed analysis of aerosol treatment in AM2, we suggest that the low bias in AOD and high bias in SSA are related to an underestimate of carbonaceous aerosol emissions in the biomass burning inventories used by AM2. Increases in organic matter and black carbon emissions by factors of 1.6 and 3.8 over southern Africa improve the biases in AOD and especially SSA. We estimate that the AM2 biases in AOD and SSA imply that the magnitude of annual top of the atmosphere radiative forcing in clear-sky conditions over southern Africa is overestimated (too negative) by 8 % while surface radiative forcing is underestimated (not negative enough) by 20%. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Brian I. Magi Paul Ginoux Yi Ming V. Ramaswamy |
spellingShingle |
Brian I. Magi Paul Ginoux Yi Ming V. Ramaswamy Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model |
author_facet |
Brian I. Magi Paul Ginoux Yi Ming V. Ramaswamy |
author_sort |
Brian I. Magi |
title |
Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model |
title_short |
Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model |
title_full |
Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model |
title_fullStr |
Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model |
title_full_unstemmed |
Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model |
title_sort |
evaluation of tropical and extratropical southern hemisphere african aerosol properties simulated by a climate model |
publishDate |
2009 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.1587 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
https://www.gfdl.noaa.gov/cms-filesystem-action/user_files/bim/magietal2009.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.1587 |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766010725618155520 |