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Applicability of Various Interpolation Approaches for High Resolution Spatial Mapping of Climate Data in Korea

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2018, 27(5), pp.447-474
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering

JoAYeong 1 Jieun Ryu 2 Hye In Chung 1 Yuyoung Choi 1 JEON SEONG WOO 1

1고려대학교
2고려대학교 환경 GIS/RS 센터

Accredited

ABSTRACT

The purpose of this study is to build a new dataset of spatially interpolated climate data of South Korea by performing various geo-statistical interpolation techniques for comparison with the LDAPS grid data of KMA. Among 595 observation data in 2017, 80 % of the total points and remaining 117 points were used for spatial mapping and quantification, respectively. IDW, cokriging, and kriging were performed via the ArcGIS10.3.1 software and Python3.6.4, and each result was then divided into three clusters and four watersheds for statistical verification. As a result, cokriging produced the most suitable grid climate data for instantaneous temperature. For 1-hr accumulated precipitation, IDW was most suitable for expressing local rainfall effects.

Citation status

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