title: Assessment of the clear-sky bias issue using continuous PM10data from two AERONET sites in Korea.
abstract: A bias in clear-sky conditions that will be involved in estimating particulate matter (PM) concentration from aerosol optical depth (AOD) was examined using PM10from two Aerosol Robotic Network sites in Korea. The study periods were between 2004 and 2007 at Anmyon and between 2003 and 2011 at Gosan, when both PM10and AOD were available. Mean PM10when AOD was available (PMAOD) was higher than that from all PM10data (PMall) by 5.1 and 9.9μg/m3at Anmyon and Gosan, which accounted for 11% and 26% of PMall, respectively. Because of a difference between mean PM10under daytime clear-sky conditions (PMclear) and PMAOD, the variations in ΔPM10, the difference of PMallfrom PMclearrather than from PMAOD, were investigated. Although monthly variations in ΔPM10at the two sites were different, they were positively correlated to those in ΔT, similarly defined as ΔPM10except for temperature, at both sites. ΔPM10at Anmyon decreased to a negative value in January due to an influence of the Siberian continental high-pressure system while ΔPM10at Gosan was high in winter due to an effect of photochemical production at higher temperatures than at Anmyon.
authors.affiliation: Department of Environmental Science, Hankuk University of Foreign Studies, Yongin 449-791, Korea.
authors.forename: Yongjoo
authors.initials: Y
authors.lastname: Choi
authors.affiliation: Department of Environmental Science, Hankuk University of Foreign Studies, Yongin 449-791, Korea. Electronic address: ysghim@hufs.ac.kr.
authors.forename: Young Sung
authors.initials: YS
authors.lastname: Ghim
mesh_terms: D000336:Aerosols / Q000032:analysis; D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000706:statistics & numerical data; D004784:Environmental Monitoring; D052638:Particulate Matter / Q000032:analysis*; D056910:Republic of Korea; D012621:Seasons
chemical_list: D000336:Aerosols; D000393:Air Pollutants; D052638:Particulate Matter
keywords: AERONET; Cloud amount; Data recovery rate; Photochemical production; Siberian high; Wind speed