Improving GCM Aerosol Climatology using Satellite and Ground-Based Measurements
A physically based aerosol climatology is essential to address the questions of global climate changes. We use available satellite and ground-based measurements, i.e., moderate-resolution imaging spectroradiometer (MODIS), multiangle imaging spectroradiometer (MISR), Polarization and Directionality...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.298.3617 2023-05-15T13:06:07+02:00 Improving GCM Aerosol Climatology using Satellite and Ground-Based Measurements L. Liu A. A. Lacis B. E. Carlson M. I. Mishchenko B. Cairns The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.3617 http://www.arm.gov/publications/proceedings/conf15/extended_abs/liu_l.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.3617 http://www.arm.gov/publications/proceedings/conf15/extended_abs/liu_l.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.arm.gov/publications/proceedings/conf15/extended_abs/liu_l.pdf text ftciteseerx 2016-01-07T21:53:32Z A physically based aerosol climatology is essential to address the questions of global climate changes. We use available satellite and ground-based measurements, i.e., moderate-resolution imaging spectroradiometer (MODIS), multiangle imaging spectroradiometer (MISR), Polarization and Directionality of the earth’s Reflectance (POLDER), advanced very high resolution radiometer (AVHRR), and Aerosol Robotic Network (AERONET) data, to characterize the geographic distribution and seasonal variability of aerosol optical depth and size. The Ångström exponent is used as a measure of aerosol size. Although large discrepancies exist between different datasets, particularly for the Ångström exponent, the measurements point to a need for reducing the aerosol effective radii specified in the global climate model (GCM) from the nearly 1.0 micron average value to about 0.2 or 0.3 microns, as suggested by the observed Ångström exponent. Incorporating this change in aerosol effective radius also improves the agreement for the aerosol optical depth between satellite measurements and the Goddard Institute for Space Studies (GISS) GCM aerosol climatology. As a consequence, the radiative forcing due to aerosol under clear-sky conditions is increased by about 30%. Text Aerosol Robotic Network Unknown |
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description |
A physically based aerosol climatology is essential to address the questions of global climate changes. We use available satellite and ground-based measurements, i.e., moderate-resolution imaging spectroradiometer (MODIS), multiangle imaging spectroradiometer (MISR), Polarization and Directionality of the earth’s Reflectance (POLDER), advanced very high resolution radiometer (AVHRR), and Aerosol Robotic Network (AERONET) data, to characterize the geographic distribution and seasonal variability of aerosol optical depth and size. The Ångström exponent is used as a measure of aerosol size. Although large discrepancies exist between different datasets, particularly for the Ångström exponent, the measurements point to a need for reducing the aerosol effective radii specified in the global climate model (GCM) from the nearly 1.0 micron average value to about 0.2 or 0.3 microns, as suggested by the observed Ångström exponent. Incorporating this change in aerosol effective radius also improves the agreement for the aerosol optical depth between satellite measurements and the Goddard Institute for Space Studies (GISS) GCM aerosol climatology. As a consequence, the radiative forcing due to aerosol under clear-sky conditions is increased by about 30%. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
L. Liu A. A. Lacis B. E. Carlson M. I. Mishchenko B. Cairns |
spellingShingle |
L. Liu A. A. Lacis B. E. Carlson M. I. Mishchenko B. Cairns Improving GCM Aerosol Climatology using Satellite and Ground-Based Measurements |
author_facet |
L. Liu A. A. Lacis B. E. Carlson M. I. Mishchenko B. Cairns |
author_sort |
L. Liu |
title |
Improving GCM Aerosol Climatology using Satellite and Ground-Based Measurements |
title_short |
Improving GCM Aerosol Climatology using Satellite and Ground-Based Measurements |
title_full |
Improving GCM Aerosol Climatology using Satellite and Ground-Based Measurements |
title_fullStr |
Improving GCM Aerosol Climatology using Satellite and Ground-Based Measurements |
title_full_unstemmed |
Improving GCM Aerosol Climatology using Satellite and Ground-Based Measurements |
title_sort |
improving gcm aerosol climatology using satellite and ground-based measurements |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.3617 http://www.arm.gov/publications/proceedings/conf15/extended_abs/liu_l.pdf |
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Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
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http://www.arm.gov/publications/proceedings/conf15/extended_abs/liu_l.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.3617 http://www.arm.gov/publications/proceedings/conf15/extended_abs/liu_l.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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