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http://dx.doi.org/10.7780/kjrs.2017.33.2.6

Estimation of surface visibility using MODIS AOD  

Park, Jun-Young (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University)
Kwon, Tae-Yong (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University)
Lee, Jae-Yong (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University)
Publication Information
Korean Journal of Remote Sensing / v.33, no.2, 2017 , pp. 171-187 More about this Journal
Abstract
Thisstudy presentsthe method for deriving surface visibility from satellite retrieved AOD. To do thisthe height of aerosol distribution isrequired. This distribution would be in thisstudy represented by the two heights; if there is a discrete atmospheric layer, which is physically separated from the above layer, the upper height of the layer is assumed as Aerosol Layer Height(ALH). In this case there is clear minimum in the Relative Humanity vertical distribution. Otherwise PBLH(Planetary Boundary Layer Height) is used. These heights are obtained from the forecast data of Regional Data Assimilation and Prediction System(RDAPS). The surface visibility is estimated from MODIS AOD and ALH/PBLH, using Koschmieder's Law for ALH and the empirical relations for PBLH. The estimated visibility are evaluated from the visibility measurements of 9 eve-measurement stations and 17 PWD22 stations for the spring of 2015 and 2016. Verification of the estimated visibility shows that there are considerable differencesin statistical verification value depending on stations, years, morning(Terra)/afternoon(Aqua). The better results are shown in the midwest part of korean peninsula for Terra of 2016. The results are summarized as; correlation coefficients of higher than 0.65, for low visibility RMSE of 3.62 km and ME of 2.29 km or less, POD of higher than 0.65 and FAR of 0.5 or less. Verification results were better with increase in the number of low-visibility data.
Keywords
Visibility; AOD; PBLH; ALH; extinction coefficient; MODIS; RDAPS;
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