Korean Journal of Agricultural and Forest Meteorology (한국농림기상학회지)

Korean Society of Agricultural and Forest Meteorology (한국농림기상학회)
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Implementing the Urban Effect in an Interpolation Scheme for Monthly Normals of Daily Minimum Temperature

도시효과를 고려한 일 최저기온의 월별 평년값 분포 추정

  • 최재연 (경기도 화성시농업기술센터) ;
  • 윤진일 (경희대학교 생태시스템공학과/생명자원과학연구원)
  • Published : 2002.12.01
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Abstract

This study was conducted to remove the urban heat island effects embedded in the interpolated surfaces of daily minimum temperature in the Korean Peninsula. Fifty six standard weather stations are usually used to generate the gridded temperature surface in South Korea. Since most of the weather stations are located in heavily populated and urbanized areas, the observed minimum temperature data are contaminated with the so-called urban heat island effect. Without an appropriate correction, temperature estimates over rural area or forests might deviate significantly from the actual values. We simulated the spatial pattern of population distribution within any single population reporting district (city or country) by allocating the reported population to the "urban" pixels of a land cover map with a 30 by 30 m spacing. By using this "digital population model" (DPM), we can simulate the horizontal diffusion of urban effect, which is not possible with the spatially discontinuous nature of the population statistics fer each city or county. The temperature estimation error from the existing interpolation scheme, which considers both the distance and the altitude effects, was regressed to the DPMs smoothed at 5 different scales, i.e., the radial extent of 0.5, 1.5, 2.5, 3.5 and 5.0 km. Optimum regression models were used in conjunction with the distance-altitude interpolation to predict monthly normals of daily minimum temperature in South Korea far 1971-2000 period. Cross validation showed around 50% reduction in terms of RMSE and MAE over all months compared with those by the conventional method.conventional method.

주로 도시에 소재하는 표준기상관측소 자료의 공간 내삽에 의해 일 최저기온의 평년값을 추정할 때, 도시 열섬효과의 전이에 의해 전원지역에서 과다추정 되는 오류를 수정하기 위해 본 연구를 수행하였다. 도시열섬효과의 공간적인 확산을 모의하기 위해 먼저 불연속적인 변량인 시군 행정구역단위 인구를 지표피복도 상의 시가지 픽셀에만 할당하여 규칙적인 격자점 단위의 평균인구로 변환함으로써 연속적인 변량인 수치인구모형(DPM)으로 표현하였다. 다섯 가지 평활화 DPM 가운데 최적으로 판명된 사방 2.5 km DPM과 기온추정 오차간 회귀식을 기존의 거리-고도 보정 내삽과정에 결합하였다. 이 방법을 적용하여 추정된 평년(1971-2000) 월별 일 최저기온의 추정오차는 기존방법에 비해 최소 50%가 개선되었다.

Keywords

References

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