Abstract
This study tried to show the usability of Asian air pollution emission data in order to improve a visibility modeling for the operation of numerical weather prediction models. For this purpose, the three most popular Asian air pollution emission data (TRACE-P, INTEX-B, REAS) were compared with domestic air pollution emission data by root mean square error. In this study, root mean square errors of air pollution materials including SOx, NOx, and VOC in Asia air pollution emission data were analyzed for 2001 and 2006. In the results, INTEX-B would be useful when the measurement data is required, while REAS would be acceptable if multi-year data were required and estimation data were allowed. Air pollutant diffusion model with Asian air pollution data can be used to estimate hourly air pollution concentration data by altitude, which would improve the accuracy of numerical weather prediction models.
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