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논문 기본 정보

자료유형
학술저널
저자정보
강민수 (한국외국어대학교) 박문수 (한국외국어대학교) 채정훈 (한국외국어대학교) 민재식 (한국외국어대학교) 정보연 (수도권기상청) 한성의 (수도권기상청)
저널정보
한국기상학회 대기 대기 Vol.29 No.2
발행연도
2019.6
수록면
183 - 196 (14page)

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초록· 키워드

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High-quality and high-resolution meteorological information is essential to reduce damages due to disastrous weather phenomena such as flash flood, strong wind, and heat/cold waves. There are many meteorological observation stations operated by Korea Meteorological Administration (KMA) in Seoul Metropolitan Area (SMA). Nonetheless, they are still not enough to represent small-scale weather phenomena like convective storm cells due to its poor resolution, especially over urban areas with high-rise buildings and complex land use. In this study, feasibilities to use additional pre-existing networks (e.g., operated by local government and private company) are tested by investigating the effects of network density on the gridded horizontal distribution of two meteorological variables (temperature and precipitation). Two heat wave event days and two precipitation events are chosen, respectively. And the automatic weather station (AWS) networks operated by KMA, local-government, and SKTechX in Incheon area are used. It is found that as network density increases, correlation coefficients between the interpolated values with a horizontal resolution of 350 m and observed data also become large. The range of correlation coefficients with respect to the network density shows large in nighttime rather than in daytime for temperature. While, the range does not depend on the time of day, but on the precipitation type and horizontal distribution of convection cells. This study suggests that temperature and precipitation sensors should be added at points with large horizontal inhomogeneity of land use or topography to represent the horizontal features with a resolution higher than 350 m.

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Abstract
1. 서론
2. 연구 내용 및 방법
3. 결과
4. 요약 및 결론
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UCI(KEPA) : I410-ECN-0101-2019-453-000882148