MODIS observations of desert, dust, forest fire smoke and anthropogenic aerosols
MODIS (Moderate Resolution Imaging Radio Spectrometer) data were analyzed to determine if different aerosol types, i.e. desert dust, forest fire smoke, and human produced (anthropogenic) aerosols, can be identified using the angstrom coefficient. Aerosol optical depths, fine mode ratios, and angstro...
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ftncar:oai:drupal-site.org:manuscripts_490 2023-10-09T21:44:12+02:00 MODIS observations of desert, dust, forest fire smoke and anthropogenic aerosols Rios, Andro (author) Massie, Steven (contributor) 2004 application/pdf http://nldr.library.ucar.edu/repository/collections/SOARS-000-000-000-082 https://doi.org/10.5065/r385-qa94 en eng SOARS Earth, Wind, Sea, and Sky: Protégé Abstracts 2004--10.5065/1dfm-r083 http://nldr.library.ucar.edu/repository/collections/SOARS-000-000-000-082 ark:/85065/d7xd10kn doi:10.5065/r385-qa94 Copyright Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Text manuscript 2004 ftncar https://doi.org/10.5065/r385-qa94 2023-09-11T18:18:51Z MODIS (Moderate Resolution Imaging Radio Spectrometer) data were analyzed to determine if different aerosol types, i.e. desert dust, forest fire smoke, and human produced (anthropogenic) aerosols, can be identified using the angstrom coefficient. Aerosol optical depths, fine mode ratios, and angstrom coefficients over land and ocean were mapped and statistically evaluated for fourteen different MODIS five minute granules. The granules were chosen based on known aerosol types that were emitted in each location from Earth Observing System (EOS) images. MODIS data for eleven of the fourteen cases were consistent with previous AERONET (Aerosol Robotic Network) studies that established a correlation between the angstrom coefficient and aerosol type. Aerosols of the coarse fraction (desert dust) had angstrom coefficients from 0.0 to 0.5, and aerosols of the fine fraction (forest fire smoke and anthropogenic emissions) had angstrom coefficients from 1.0 to 1.5. Although the results for the eleven cases suggest that MODIS data can be used to identify the coarse fraction from the fine, ambiguity exists in differentiating forest fire smoke and anthropogenic aerosols. Manuscript Aerosol Robotic Network OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
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Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
description |
MODIS (Moderate Resolution Imaging Radio Spectrometer) data were analyzed to determine if different aerosol types, i.e. desert dust, forest fire smoke, and human produced (anthropogenic) aerosols, can be identified using the angstrom coefficient. Aerosol optical depths, fine mode ratios, and angstrom coefficients over land and ocean were mapped and statistically evaluated for fourteen different MODIS five minute granules. The granules were chosen based on known aerosol types that were emitted in each location from Earth Observing System (EOS) images. MODIS data for eleven of the fourteen cases were consistent with previous AERONET (Aerosol Robotic Network) studies that established a correlation between the angstrom coefficient and aerosol type. Aerosols of the coarse fraction (desert dust) had angstrom coefficients from 0.0 to 0.5, and aerosols of the fine fraction (forest fire smoke and anthropogenic emissions) had angstrom coefficients from 1.0 to 1.5. Although the results for the eleven cases suggest that MODIS data can be used to identify the coarse fraction from the fine, ambiguity exists in differentiating forest fire smoke and anthropogenic aerosols. |
author2 |
Rios, Andro (author) Massie, Steven (contributor) |
format |
Manuscript |
title |
MODIS observations of desert, dust, forest fire smoke and anthropogenic aerosols |
spellingShingle |
MODIS observations of desert, dust, forest fire smoke and anthropogenic aerosols |
title_short |
MODIS observations of desert, dust, forest fire smoke and anthropogenic aerosols |
title_full |
MODIS observations of desert, dust, forest fire smoke and anthropogenic aerosols |
title_fullStr |
MODIS observations of desert, dust, forest fire smoke and anthropogenic aerosols |
title_full_unstemmed |
MODIS observations of desert, dust, forest fire smoke and anthropogenic aerosols |
title_sort |
modis observations of desert, dust, forest fire smoke and anthropogenic aerosols |
publishDate |
2004 |
url |
http://nldr.library.ucar.edu/repository/collections/SOARS-000-000-000-082 https://doi.org/10.5065/r385-qa94 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
SOARS Earth, Wind, Sea, and Sky: Protégé Abstracts 2004--10.5065/1dfm-r083 http://nldr.library.ucar.edu/repository/collections/SOARS-000-000-000-082 ark:/85065/d7xd10kn doi:10.5065/r385-qa94 |
op_rights |
Copyright Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
op_doi |
https://doi.org/10.5065/r385-qa94 |
_version_ |
1779321141350891520 |