Application of Interpolation Methods to Estimate Precipitation in Coastal Area Using Region Climate Change Scenarios

Dongwoo Jang, Hyoseon Park, Jintak Choi


The Interpolation methods for the prediction are commonly used in the form of contour maps. In this study, the interpolation analysis was conducted to produce the missing data onto coastal areas in South Korea. KMA (Korea Meteorological Administration) provides a 1kmⅹ1km regional climate scenario data for South Korea. In these climate change precipitation data some specific points were missing near the coastal area and islands. In order to fill in the missing data in the specific areas, we used extrapolation methods. Using the geostatistical tools from Arcmap, we interpolated the data and we filled in the areas with missing values by applying the future regional climate change results. The results have shown that Ordinary Kriging is the best methods for the reduction of the error from original climate change data for South Korea coastal.


Interpolation method; Region climate change scenarios; Inversed distance weighted; Kriging

Full Text:



  • There are currently no refbacks.

Copyright (c) 2015 Author(s)