AERONET-Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over-Water Aerosol Product
Aerosol Robotic Network (AERONET)-based nonspherical dust optical models are developed and applied to the Satellite Ocean Aerosol Retrieval (SOAR) algorithm as part of the Version 1 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA 'Deep Blue' aerosol data product suite. The optical m...
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ftnasantrs:oai:casi.ntrs.nasa.gov:20180000755 2023-05-15T13:06:36+02:00 AERONET-Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over-Water Aerosol Product Bettenhausen, Corey Lee, Jaehwa Sayer, Andrew M. Hsu, N. Christina Yang, Ping Unclassified, Unlimited, Publicly available September 17, 2017 application/pdf http://hdl.handle.net/2060/20180000755 unknown Document ID: 20180000755 http://hdl.handle.net/2060/20180000755 Copyright, Use by or on behalf of the U.S. Government permitted CASI Earth Resources and Remote Sensing GSFC-E-DAA-TN47255 GSFC-E-DAA-TN51221 Journal of Geophysical Research: Atmospheres (ISSN 2169-897X) (e-ISSN 2169-8996); 122; 19; 10,384-10,401 2017 ftnasantrs 2019-07-20T23:20:22Z Aerosol Robotic Network (AERONET)-based nonspherical dust optical models are developed and applied to the Satellite Ocean Aerosol Retrieval (SOAR) algorithm as part of the Version 1 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA 'Deep Blue' aerosol data product suite. The optical models are created using Version 2 AERONET inversion data at six distinct sites influenced frequently by dust aerosols from different source regions. The same spheroid shape distribution as used in the AERONET inversion algorithm is assumed to account for the nonspherical characteristics of mineral dust, which ensures the consistency between the bulk scattering properties of the developed optical models with the AERONET-retrieved microphysical and optical properties. For the Version 1 SOAR aerosol product, the dust optical models representative for Capo Verde site are used, considering the strong influence of Saharan dust over the global ocean in terms of amount and spatial coverage. Comparisons of the VIIRS-retrieved aerosol optical properties against AERONET direct-Sun observations at three island coastal sites suggest that the use of nonspherical dust optical models significantly improves the retrievals of aerosol optical depth (AOD) and Angstrom exponent by mitigating the well-known artifact of scattering angle dependence of the variables observed when incorrectly assuming spherical dust. The resulting removal of these artifacts results in a more natural spatial pattern of AOD along the transport path of Saharan dust to the Atlantic Ocean; i.e., AOD decreases with increasing distance transported, whereas the spherical assumption leads to a strong wave pattern due to the spurious scattering angle dependence of AOD. Other/Unknown Material Aerosol Robotic Network NASA Technical Reports Server (NTRS) |
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NASA Technical Reports Server (NTRS) |
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topic |
Earth Resources and Remote Sensing |
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Earth Resources and Remote Sensing Bettenhausen, Corey Lee, Jaehwa Sayer, Andrew M. Hsu, N. Christina Yang, Ping AERONET-Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over-Water Aerosol Product |
topic_facet |
Earth Resources and Remote Sensing |
description |
Aerosol Robotic Network (AERONET)-based nonspherical dust optical models are developed and applied to the Satellite Ocean Aerosol Retrieval (SOAR) algorithm as part of the Version 1 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA 'Deep Blue' aerosol data product suite. The optical models are created using Version 2 AERONET inversion data at six distinct sites influenced frequently by dust aerosols from different source regions. The same spheroid shape distribution as used in the AERONET inversion algorithm is assumed to account for the nonspherical characteristics of mineral dust, which ensures the consistency between the bulk scattering properties of the developed optical models with the AERONET-retrieved microphysical and optical properties. For the Version 1 SOAR aerosol product, the dust optical models representative for Capo Verde site are used, considering the strong influence of Saharan dust over the global ocean in terms of amount and spatial coverage. Comparisons of the VIIRS-retrieved aerosol optical properties against AERONET direct-Sun observations at three island coastal sites suggest that the use of nonspherical dust optical models significantly improves the retrievals of aerosol optical depth (AOD) and Angstrom exponent by mitigating the well-known artifact of scattering angle dependence of the variables observed when incorrectly assuming spherical dust. The resulting removal of these artifacts results in a more natural spatial pattern of AOD along the transport path of Saharan dust to the Atlantic Ocean; i.e., AOD decreases with increasing distance transported, whereas the spherical assumption leads to a strong wave pattern due to the spurious scattering angle dependence of AOD. |
format |
Other/Unknown Material |
author |
Bettenhausen, Corey Lee, Jaehwa Sayer, Andrew M. Hsu, N. Christina Yang, Ping |
author_facet |
Bettenhausen, Corey Lee, Jaehwa Sayer, Andrew M. Hsu, N. Christina Yang, Ping |
author_sort |
Bettenhausen, Corey |
title |
AERONET-Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over-Water Aerosol Product |
title_short |
AERONET-Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over-Water Aerosol Product |
title_full |
AERONET-Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over-Water Aerosol Product |
title_fullStr |
AERONET-Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over-Water Aerosol Product |
title_full_unstemmed |
AERONET-Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over-Water Aerosol Product |
title_sort |
aeronet-based nonspherical dust optical models and effects on the viirs deep blue/soar over-water aerosol product |
publishDate |
2017 |
url |
http://hdl.handle.net/2060/20180000755 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
CASI |
op_relation |
Document ID: 20180000755 http://hdl.handle.net/2060/20180000755 |
op_rights |
Copyright, Use by or on behalf of the U.S. Government permitted |
_version_ |
1766012355946217472 |