Dongwoo Jang, Hyoseon Park, Jin Tak Choi
Friday 3 july 2015
12:00 - 12:15h at Europe 2 (level 0)
Themes: (T) Extreme events, natural variability and climate change, (ST) Interaction society and water systems
Parallel session: 15I. Extreme events - Society
The kriging methods for the prediction are commonly used in the form of contour maps. The kriging method (which can be ordinary and universal) is one of the methods located in the interpolation tools. It can be used for creating the missing future precipitation data given by the climate change scenarios. 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 1km_1km regional climate scenario data onto the peninsula. In these climate change precipitation data some specific points were missing near the coastal area and islands. This occurred due to the RCM downscaling method. When downscaling with RCM, detailed topography was not considered. The Smart Water Grid Research Group has scheduled to collect future estimated precipitation and input it in a database in the server systems. Afterwards, these data will be used for the water balance analysis for SWG (Smart Water Grid) Project in South Korea. The plan for the water use must consider future estimations of precipitation. As a further idea to be taken into consideration, public or private institutes will be granted access to easily download the precipitation data from SWG data base system. In order to fill in the missing data in the specific areas, we used interpolation 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. ACKNOWLEDGEMENT This research was supported by a grant (12-TI-C01) from Advanced Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.