Articles | Volume 17, issue 19
https://doi.org/10.5194/acp-17-12097-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-12097-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Oct 2017
Research article |
| 12 Oct 2017
Classifying aerosol type using in situ surface spectral aerosol optical properties
Lauren Schmeisser
CORRESPONDING AUTHOR
National Oceanic and Atmospheric Administration, Earth Systems
Research Laboratory, Boulder, CO, USA
University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO, USA
now at: University of Washington, Department of
Atmospheric Sciences, Seattle, WA, USA
Elisabeth Andrews
National Oceanic and Atmospheric Administration, Earth Systems
Research Laboratory, Boulder, CO, USA
University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO, USA
John A. Ogren
National Oceanic and Atmospheric Administration, Earth Systems
Research Laboratory, Boulder, CO, USA
Patrick Sheridan
National Oceanic and Atmospheric Administration, Earth Systems
Research Laboratory, Boulder, CO, USA
Anne Jefferson
National Oceanic and Atmospheric Administration, Earth Systems
Research Laboratory, Boulder, CO, USA
University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO, USA
Sangeeta Sharma
Environment and Climate Change Canada, Science and Technology Branch,
Ontario, Canada
Jeong Eun Kim
Environmental Meteorology Research Division, National Institute of
Meteorological Sciences, Seoul, Korea
James P. Sherman
Department of Physics and Astronomy, Appalachian State University, Boone, NC, USA
Mar Sorribas
Atmospheric Sounding Station, El Arenosillo, Atmospheric Research and
Instrumentation Branch, INTA, 21130, Mazagón, Huelva, Spain
Ivo Kalapov
Institute for Nuclear Research and Nuclear Energy of the Bulgarian
Academy of Sciences, Sofia, Bulgaria
Todor Arsov
Institute for Nuclear Research and Nuclear Energy of the Bulgarian
Academy of Sciences, Sofia, Bulgaria
Christo Angelov
Institute for Nuclear Research and Nuclear Energy of the Bulgarian
Academy of Sciences, Sofia, Bulgaria
Olga L. Mayol-Bracero
University of Puerto Rico, Department of Environmental Science, San
Juan, PR, USA
Casper Labuschagne
South African Weather Service, Stellenbosch, South Africa
Unit for Environmental Sciences and Management, North-West
University, Potchefstroom Campus, South Africa
Sang-Woo Kim
School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, Korea
András Hoffer
MTA-PE Air Chemistry Research Group, Veszprém, P.O. Box 158,
8201, Hungary
Neng-Huei Lin
National Central University, Department of Atmospheric Sciences,
Chung-LI, Taoyuan City, Taiwan
Hao-Ping Chia
National Central University, Department of Atmospheric Sciences,
Chung-LI, Taoyuan City, Taiwan
Michael Bergin
Duke University, Department of Civil & Environmental Engineering,
Durham, NC, USA
Junying Sun
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Peng Liu
China GAW Baseline Observatory, Qinghai Meteorological Bureau, Xining
810001, China
China GAW Baseline Observatory, Qinghai Meteorological Bureau, Xining
810001, China
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Latest update: 30 Nov 2025
Short summary
Three methods are used to classify aerosol type from aerosol optical properties measured in situ at 24 surface sites. Classification methods work best at sites with stable, homogenous aerosol at particularly polluted and dust-prone continental and marine sites. Classification methods are poor at remote marine and Arctic sites. Using these methods to extrapolate aerosol type from optical properties can help determine aerosol radiative forcing and improve aerosol satellite retrieval algorithms.
Three methods are used to classify aerosol type from aerosol optical properties measured in situ...
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