Aerosol Daytime Variations over North and South America Derived from Multiyear AERONET Measurements
This study analyzes the daytime variation of aerosol with seasonal distinction by using multi-year measurements from 54 of the Aerosol Robotic Network (AERONET) sites over North America, South America, and islands in surrounding oceans. The analysis shows a wide range of daily variability of aerosol...
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ftnasantrs:oai:casi.ntrs.nasa.gov:20120011644 2023-05-15T13:06:27+02:00 Aerosol Daytime Variations over North and South America Derived from Multiyear AERONET Measurements Holben, Brent N. Eck, Tom F. Smirnov, Alexander Zhang, Yan Levy, Roberrt Bian, Huisheng Remer, Lorraine A. Chin, Mian Yu, Hongbin Tan, Qian Unclassified, Unlimited, Publicly available [2012] application/pdf http://hdl.handle.net/2060/20120011644 unknown Document ID: 20120011644 http://hdl.handle.net/2060/20120011644 Copyright, Distribution as joint owner in the copyright CASI Environment Pollution GSFC.JA.6089.2012 2012 ftnasantrs 2019-07-21T06:21:02Z This study analyzes the daytime variation of aerosol with seasonal distinction by using multi-year measurements from 54 of the Aerosol Robotic Network (AERONET) sites over North America, South America, and islands in surrounding oceans. The analysis shows a wide range of daily variability of aerosol optical depth (AOO) and Angstrom exponent depending on location and season. Possible reasons for daytime variations are given. The largest AOO daytime variation range at 440 nm, up to 75%, occurs in Mexico City, with maximum AOO in the afternoon. Large AOO daily variations are also observed in the polluted mid-Atlantic U.S. and U.S. West Coast with maximum AOO occurring in the afternoon in the mid-Atlantic U.S., but in the morning in the West Coast. In South American sites during the biomass burning season (August to October), maximum AOO generally occurs in the afternoon. But the daytime variation becomes smaller when sites are influenced more by long-range transported smoke than by local burning. Islands show minimum AOO in the morning and maximum AOO in the afternoon. The diverse patterns of aerosol daytime variation suggest that geostationary satellite measurements would be invaluable for characterizing aerosol temporal variations on regional and continental scales. In particular, simultaneous measurements of aerosols and aerosol precursors from a geostationary satellite would greatly aid in understanding the evolution of aerosol as determined by emissions, chemical transformations, and transport processes. Other/Unknown Material Aerosol Robotic Network NASA Technical Reports Server (NTRS) |
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Open Polar |
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NASA Technical Reports Server (NTRS) |
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ftnasantrs |
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topic |
Environment Pollution |
spellingShingle |
Environment Pollution Holben, Brent N. Eck, Tom F. Smirnov, Alexander Zhang, Yan Levy, Roberrt Bian, Huisheng Remer, Lorraine A. Chin, Mian Yu, Hongbin Tan, Qian Aerosol Daytime Variations over North and South America Derived from Multiyear AERONET Measurements |
topic_facet |
Environment Pollution |
description |
This study analyzes the daytime variation of aerosol with seasonal distinction by using multi-year measurements from 54 of the Aerosol Robotic Network (AERONET) sites over North America, South America, and islands in surrounding oceans. The analysis shows a wide range of daily variability of aerosol optical depth (AOO) and Angstrom exponent depending on location and season. Possible reasons for daytime variations are given. The largest AOO daytime variation range at 440 nm, up to 75%, occurs in Mexico City, with maximum AOO in the afternoon. Large AOO daily variations are also observed in the polluted mid-Atlantic U.S. and U.S. West Coast with maximum AOO occurring in the afternoon in the mid-Atlantic U.S., but in the morning in the West Coast. In South American sites during the biomass burning season (August to October), maximum AOO generally occurs in the afternoon. But the daytime variation becomes smaller when sites are influenced more by long-range transported smoke than by local burning. Islands show minimum AOO in the morning and maximum AOO in the afternoon. The diverse patterns of aerosol daytime variation suggest that geostationary satellite measurements would be invaluable for characterizing aerosol temporal variations on regional and continental scales. In particular, simultaneous measurements of aerosols and aerosol precursors from a geostationary satellite would greatly aid in understanding the evolution of aerosol as determined by emissions, chemical transformations, and transport processes. |
format |
Other/Unknown Material |
author |
Holben, Brent N. Eck, Tom F. Smirnov, Alexander Zhang, Yan Levy, Roberrt Bian, Huisheng Remer, Lorraine A. Chin, Mian Yu, Hongbin Tan, Qian |
author_facet |
Holben, Brent N. Eck, Tom F. Smirnov, Alexander Zhang, Yan Levy, Roberrt Bian, Huisheng Remer, Lorraine A. Chin, Mian Yu, Hongbin Tan, Qian |
author_sort |
Holben, Brent N. |
title |
Aerosol Daytime Variations over North and South America Derived from Multiyear AERONET Measurements |
title_short |
Aerosol Daytime Variations over North and South America Derived from Multiyear AERONET Measurements |
title_full |
Aerosol Daytime Variations over North and South America Derived from Multiyear AERONET Measurements |
title_fullStr |
Aerosol Daytime Variations over North and South America Derived from Multiyear AERONET Measurements |
title_full_unstemmed |
Aerosol Daytime Variations over North and South America Derived from Multiyear AERONET Measurements |
title_sort |
aerosol daytime variations over north and south america derived from multiyear aeronet measurements |
publishDate |
2012 |
url |
http://hdl.handle.net/2060/20120011644 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
CASI |
op_relation |
Document ID: 20120011644 http://hdl.handle.net/2060/20120011644 |
op_rights |
Copyright, Distribution as joint owner in the copyright |
_version_ |
1766006501786255360 |