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High-resolution gridded data generation and performance assessment of multiple statistical downscaling methods for South Korea

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  • High-resolution gridded data generation and performance assessment of multiple statistical downscaling methods for South Korea
  • Eum, Hyung-Il
  • APCC


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Title High-resolution gridded data generation and performance assessment of multiple statistical downscaling methods for South Korea
Similar Titles
Material Type Reports
Author(English)

Eum, Hyung-Il

Publisher

Busan:APCC

Date 2015
Series Title; No Research Report / 2015-05
Subject Country South Korea(Asia and Pacific)
Language English
File Type Link
Subject Industry and Technology < Science/Technology
Industry and Technology < Others
Holding APCC

Abstract

As advances have been made in climate models and process-based land-surface schemes, the requirements of long-term high-resolution climate data for efficient modelling and performance assessment have also increased. Recently, long-term gridded climate data have been actively employed to produce high-resolution climate projections by using statistical downscaling methods because the spatial resolutions of statistical downscaling methods correspond to those of historical data. This study presents an improved geographic information system (GIS)-based regression model (IGISRM) that incorporates an adaptive effective radius algorithm into the structure of a previous regression model of Kongju National University (KNU/RM). Long-term gridded climate data from 1973 to 2010 are generated, and the performances of IGISRM at various spatial resolutions are evaluated to identify the most suitable grid spacing with respect to accuracy and computational efficiency. In addition, inter-comparison of the performances of IGISRM and KNU/RM is conducted with multiple performance measures and extreme indices. (The rest omitted)