Estimation of High Resolution Gridded Temperature Using GIS and PRISM

GIS와 PRISM을 이용한 고해상도 격자형 기온자료 추정

  • Hong, Ki-Ok (Department of Atmospheric Science, Kongju National University) ;
  • Suh, Myoung-Seok (Department of Atmospheric Science, Kongju National University) ;
  • Rha, Deuk-Kyun (Climate Policy Division, Korea Meteorological Administration) ;
  • Chang, Dong-Ho (Department of Geography, Kongju National University) ;
  • Kim, Chansoo (Department of Applied Mathematics, Kongju National University) ;
  • Kim, Maeng-Ki (Department of Atmospheric Science, Kongju National University)
  • Received : 2007.05.22
  • Accepted : 2007.07.07
  • Published : 2007.09.30

Abstract

This study generated and evaluated the high resolution (5 km) gridded data of monthly mean, maximum and minimum temperature from 2002 to 2005 over South Korea using a modified PRISM(Parameter-elevation Regressions on Independent Slopes Model: K-PRISM) developed by Daly et al. (2003). The performance of K-PRISM was evaluated by qualitative and quantitative ways using the observations and gridded data derived by inverse distance weighting (IDW) and hypsometric methods (HYPS). For the generation of high resolution gridded data, geographic informations over South Korea, such as the digital elevation, topographic facet and coastal proximity, are derived from the 1 km digital elevation data. The spatial patterns of temperature derived by K-PRISM were more closely linked to topography and coastal proximity than those by IDW. The K-PRISM performed much better than IDW for all months and temperatures, but it was equal to or slightly better than the HYPS. And the performances of K-PRISM were better in the minimum and mean temperature (winter) than the in maximum temperature (summer).

Keywords