Comparison of spatial interpolation techniques for predicting climate factors in Korea

Su Na Kim, Woo-Kyun Lee, Key Il Shin, Menas Kafatos, Dong Jo Seo, Han Bin Kwak

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

A variety of statistical interpolation techniques have been used with climate factors. This study compared three statistical interpolation techniques such as PRISM, Kriging, and IDW with temperature and precipitation. Mean monthly cumulative values on temperature and precipitation from 1977 to 2006, which were provided by Korea Meteorological Administration, were used for this study. The aim of this study is to find better appropriate process which can consider to the topographical characteristics of Korea and to produce high-resolution climate-maps using statistical models. As a result, Kriging showed gradual and smooth pattern, while IDW showed rather irregularly distributed with discontinuous borders. And PRISM generated the most detailed pattern. This paper will contribute to coping with climate-change such as urban heat island, flood, disaster, and to make alterative suggestion for the meteorological factors on forest and vegetation models in the future.

Original languageEnglish
Pages (from-to)97-109
Number of pages13
JournalForest Science and Technology
Volume6
Issue number2
DOIs
Publication statusPublished - 2010 Dec 1

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kriging
Korean Peninsula
interpolation
climate
meteorological parameters
heat island
disasters
statistical models
disaster
temperature
climate change
vegetation
methodology
comparison
border

Keywords

  • IDW
  • Kriging
  • precipitation
  • PRISM
  • statistical interpolation techniques
  • temperature

ASJC Scopus subject areas

  • Forestry
  • Management, Monitoring, Policy and Law

Cite this

Comparison of spatial interpolation techniques for predicting climate factors in Korea. / Kim, Su Na; Lee, Woo-Kyun; Shin, Key Il; Kafatos, Menas; Seo, Dong Jo; Kwak, Han Bin.

In: Forest Science and Technology, Vol. 6, No. 2, 01.12.2010, p. 97-109.

Research output: Contribution to journalArticle

Kim, Su Na ; Lee, Woo-Kyun ; Shin, Key Il ; Kafatos, Menas ; Seo, Dong Jo ; Kwak, Han Bin. / Comparison of spatial interpolation techniques for predicting climate factors in Korea. In: Forest Science and Technology. 2010 ; Vol. 6, No. 2. pp. 97-109.
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