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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Main Authors: Holben, Brent N., Eck, Tom F., Smirnov, Alexander, Zhang, Yan, Levy, Roberrt, Bian, Huisheng, Remer, Lorraine A., Chin, Mian, Yu, Hongbin, Tan, Qian
Format: Other/Unknown Material
Language:unknown
Published: 2012
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Online Access:http://hdl.handle.net/2060/20120011644
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spelling 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)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
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
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