Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012

Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019)

Published:2022-12 Issue: Volume:280 Page:106457
ISSN:0169-8095
Container-title:Atmospheric Research
language:en
Short-container-title:Atmospheric Research

Author:

Eom Sujin,Kim Jhoon,Lee Seoyoung,Holben Brent N.,Eck Thomas F.,Park Sung-Bin,Park Sang Seo

Funder

National Research Foundation of Korea

Earth Sciences Division

Ulsan National Institute of Science and Technology

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference103 articles.

1. Aerosol index from TOMS and OMI measurements;Ahmad,2006

2. Understanding the optical properties of ambient sub-and supermicron particulate matter: results from the CARES 2010 field study in northern California;Cappa;Atmos. Chem. Phys.,2016

3. Relating aerosol absorption due to soot, organic carbon, and dust to emission sources determined from in-situ chemical measurements;Cazorla;Atmos. Chem. Phys.,2013

4. Graphical aerosol classification method using aerosol relative optical depth;Chen;Atmos. Environ.,2016

5. Characterization, mixing state, and evolution of urban single particles in Xi'an (China) during wintertime haze days;Chen;Sci. Total Environ.,2016

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