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Effects Study on the Accuracy of Photochemical Modeling to MM5 Four Dimensional Data Assimilation Using Satellite Data

위성자료를 이용한 MM5 4차원자료동화가 광화학모델의 정확도에 미치는 영향 고찰

  • Lee, Chong-Bum (Kangwon National University, Department of Environmental Science) ;
  • Kim, Jea-Chul (Kangwon National University, Department of Environmental Science) ;
  • Cheon, Tae-Hun (Kangwon National University, Department of Environmental Science)
  • Published : 2009.08.31

Abstract

Concentration of Air Quality Models (CMAQ) has a deep connection with emissions and wind fields. In particular the wind field is highly affected by local topography and plays an important role in transport and dispersion of contaminants from the pollution sources. The purpose of this study is to examine the impact of interpolation on Air quality model. This study was designed to evaluate enhancement of MM5 and CMAQ predictions by using Four Dimensional Data Assimilation (FDDA), the SONDE data and the national meteorological station and the MODerate resolution Imaging Spectroradiometer (MODIS). The alternative meteorological fields predicted with and without MODIS data were used to simulate spatial and temporal variations of ozone in combined with CMAQ on June 2006. The result of this study indicated that data assimilation using MODIS data provided an attractive method for generating realistic meteorological fields and dispersion fields of ozone in the Korea peninsular, because MODIS data in 10 km domain are grid horizontally and vertically. In order to ensure the success of Air quality model, it is necessary to FDDA using MODIS data.

Keywords

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  1. Air quality modeling guideline for national air policy development and evaluation - Part I General information - vol.22, pp.5, 2013, https://doi.org/10.14249/eia.2013.22.5.537