본문 바로가기
KERD
논문KCI 등재

고해상도 기온 및 강수 분포도 작성을 위한 공동크리깅 적용성 평가

Evaluation for Applicability of Cokriging for High Resolution Spatial Mapping of Temperature and Rainfall

6

조회

0

다운로드

12

인용

0

참고문헌

키워드

초록

Recently, it has been required to construct the meteorological data with more detailed resolution for analyzing regional meteorological characteristics. In this study, the applicability of cokriging method combined with the elevation data in high resoultion spatial mapping of temperature and rainfall based on sparse weather station observations was evaluated. 428 of observation data acquired in January, April, August and October, 2007 and digital elevation model(DEM) with 1km resolution were used for those mapping, and the results of cokriging were compared to that of inverse distance weighting (IDW) method. As the analysis of bias and root mean square error (RMSE) for the results of both methods using 107 of observation data, the results of cokriging were smaller than the results of IDW. This showed the cokriging is more effective method for the construction of high resolution meteorological data which well reflect topographic effects.

Abstract

Recently, it has been required to construct the meteorological data with more detailed resolution for analyzing regional meteorological characteristics. In this study, the applicability of cokriging method combined with the elevation data in high resoultion spatial mapping of temperature and rainfall based on sparse weather station observations was evaluated. 428 of observation data acquired in January, April, August and October, 2007 and digital elevation model(DEM) with 1km resolution were used for those mapping, and the results of cokriging were compared to that of inverse distance weighting (IDW) method. As the analysis of bias and root mean square error (RMSE) for the results of both methods using 107 of observation data, the results of cokriging were smaller than the results of IDW. This showed the cokriging is more effective method for the construction of high resolution meteorological data which well reflect topographic effects.

참고문헌 (12)

  1. 박노욱, "수치표고모델과 다변량 크리깅을 이용한 기온 및 강수 분포도 작성", 대한지리학회지, 43(6), pp.1002~1015 (2008), 대한지리학회
  2. 박종철, "공동 크리깅을 이용한 강수 분포도 작성에서 지형 사면방향 변수 사용에 대한 연구 : 제주도를 사례지역으로", 한국지형학회지, 16(3), pp.59~66 (2009), 한국지형학회
  3. 신성철, "GIS와 PRISM을 이용한 고해상도 격자형 강수량 추정", 대기, 18(1), pp.71~81 (2008), 한국기상학회
  4. 이승호, "기후학" (2007), 푸른길
  5. 최종근, "공간정보 모델링: 크리깅과 최적화 기법" (2002), 구미서관
  6. 홍기옥, "GIS와 PRISM을 이용한 고해상도 격자형 기온자료 추정", 대기, 17(3), pp.255~268 (2007), 한국기상학회
  7. Burrough, P. A, "Priciples of geographic information systems" (1998), Oxford University Press
  8. Creutin, J. D., "Rain measurement by raingage-radar combination: a geostatistical approach", Journal of Atmospheric and Oceanic Technologies, 5, pp.102~115 (1988)
  9. Daly, C., "Mapping the Climate of Puerto Rico, Vieques and Culebra", International journal of climatology, 23, pp.1359~1381 (2003)
  10. Glenn, N. F, "The use of geostatistics in relating soil moisture to RADARSAT-1 SAR data obtained over the Gread Basin, Nevada", USA, Computers & Geosciences, 29, pp.577~586 (2003)
  11. Goovaerts, P., "Geostatistics for Natural Resources Evaluation" (1997), Oxford University Press
  12. Hevesi, J. A., "Precipitation estimation in mountainous terrain using multivariate geostatistics. Part I: structural analysis", Journal of Applied Meteorology, 31, pp.661~676 (1992)

관련 논문AI추천

이 간행물의 다른 논문 (7건)