Aerosols in the atmosphere, including dust and pollutants, scatters/absorbs solar radiation and change the microphysics of clouds, thus influencing the Earth’s energy budget, climate, air quality, visibility, agriculture and water circulation. Pollutants have also been reported to threaten the human health. The present research collaborated with the U.S. NASA and the U.S. Aerosol Robotic Network (AERONET) is to study the aerosol characteristics in East Asia and improve the long-distance transportation monitoring technology by analyzing the observations of aerosol characteristics in East Asia during Distributed Regional Aerosol Gridded Observation Networks (DRAGON) Campaign (March 2012-May 2012). The sun photometers that measure the aerosol optical characteristics were placed evenly throughout the Korean Peninsula and concentrated in Seoul and the metropolitan area. Observation data are obtained from the DRAGON campaign and the first year (2012) observation data (aerosol optical depth and aerosol spatial distribution) are analyzed. Sun photometer observations, including aerosol optical depth (AOD), are utilized to validate satellite observations from Geostationary Ocean Color Imager (GOCI) and Moderate Resolution Imaging Spectroradiometer (MODIS). Additional analysis is performed associated with the Northeast Asia, the Korean Peninsula in particular, to determine the spatial distribution of the aerosol.
[1]
Jean-François Léon,et al.
Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust
,
2006
.
[2]
Brent N. Holben,et al.
Characteristics of aerosol types from AERONET sunphotometer measurements
,
2010
.
[3]
이재진,et al.
Distributed Regional Aerosol Gridded Observation Network (DRAGON)
,
2014
.
[4]
Ukkyo Jeong,et al.
Estimation of the contributions of long range transported aerosol in East Asia to carbonaceous aerosol and PM concentrations in Seoul, Korea using highly time resolved measurements: a PSCF model approach.
,
2011,
Journal of environmental monitoring : JEM.
[5]
Michael D. King,et al.
A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements
,
2000
.
[6]
J. Ryu,et al.
Algorithm for retrieval of aerosol optical properties over the ocean from the Geostationary Ocean Color Imager
,
2010
.