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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Extreme events, natural variability and climate change : Applicability of the kriging method in data missing area using region climate change
Applicability of the kriging method in data missing area using region climate change
The kriging methods for the rainfall 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 1kmĒŠ1km 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.
File Size : 554,657 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Extreme events, natural variability and climate change
Date Published : 20/08/2015
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