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The spatial distribution of temperature was analysed and temperature regions in Korea were classified using factor and cluster analyses. Daily maximum temperature, daily minimum temperature, and daily temperature range data of 65 surface observation stations and 309 automatic weather stations from 1...

The spatial distribution of temperature was analysed and temperature regions in Korea were classified using factor and cluster analyses. Daily maximum temperature, daily minimum temperature, and daily temperature range data of 65 surface observation stations and 309 automatic weather stations from 1998 to 2004. The spatial distribution of temperature in Korea have different characteristics by temperature data. Maximum temperature was affected by latitude, minimum temperature was affected by topology and daily temperature range was affected by distribution of land and sea. Six Factors above eigenvalues 1.0 were choosed by factor analysis and used as input of cluster analysis for division of precipitation regions. They collectively yield a regionalization of domain into 5 subareas. The regionalization is suggested to be of considerable potential utility for district forecast and research for regional climate change including development of climate scenario and impact assessment.

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