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http://dx.doi.org/10.11108/kagis.2011.14.3.136

Development of Spatial Statistical Downscaling Method for KMA-RCM by Using GIS  

Baek, Gyoung-Hye (Dept. of Ecological Landscape Architecture-Rural System Engineering, Seoul National University)
Lee, Moun-Gjin (Korea Adaptation Center for Climate Change, Korea Environment Institute)
Kang, Byung-Jin (Environment GIS/RS Center, Korea University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.14, no.3, 2011 , pp. 136-149 More about this Journal
Abstract
The aim of this study is to develop future climate scenario by downscaling the regional climate model (RCM) from global climate model (GCM) based on IPCC A1B scenario. To this end, the study first resampled the KMA-RCM(Korea meteorological administration-regional climate model) from spatial resolution of 27km to 1km. Second, observed climatic data of temperature and rainfall through 1971-2000 were processed to reflect the temperature lapse rate with respect to the altitude of each meteorological observation station. To optimize the downscaled results, Co-kriging was used to calculate temperature lapse-rate; and IDW was used to calculate rainfall lapse rate. Fourth, to verify results of the study we performed correlation analysis between future climate change projection data and observation data through the years 2001-2010. In this study the past climate data (1971-2000), future climate change scenarios(A1B), KMA-RCM(Korea meteorological administration-regional climate model) results and the 1km DEM were used. The research area is entire South Korea and the study period is from 1971 to 2100. Monthly mean temperatures and rainfall with spatial resolution of 1km * 1km were produced as a result of research. Annual average temperature and precipitation had increased by $1.39^{\circ}C$ and 271.23mm during 1971 to 2100. The development of downscaling method using GIS and verification with observed data could reduce the uncertainty of future climate change projection.
Keywords
Global Climate Model (GCM); Regional Climate Mode (RCM); Geographic Information System (GIS); Downscaling;
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Times Cited By KSCI : 6  (Citation Analysis)
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