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Advances in Meteorology
Volume 2016 (2016), Article ID 3809719, 15 pages
Research Article

Mesoscale Spatial Variability of Linear Trend of Precipitation Statistics in Korean Peninsula

1Department of Civil Engineering, Hongik University, Seoul 04066, Republic of Korea
2Department of Civil and Architectural Engineering, Seokyeong University, Seoul, Republic of Korea

Received 4 November 2015; Revised 19 April 2016; Accepted 5 May 2016

Academic Editor: Jan Friesen

Copyright © 2016 Jaehyeon Lee et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study analyzed the spatial variability of the linear trend of the precipitation mean, variance, lag-1 autocorrelation coefficient, and probability of dryness (PD) based on the precipitation data between 1981 and 2015 observed at 65 rain gages located across Korean Peninsula. While the result of the Mann-Kendall test based on the yearly statistics showed no temporal trend at most of the gage locations, the same test based on the 20-yearly statistics showed that statistically significant temporal trend exists at 54% (mean), 60% (variance), 61% (autocorrelation), and 61% (PD) among the total 65 rain gages. In addition, this study produced the map of the linear trend of the precipitation statistics. The map showed a clear regional and seasonal tendency implying that the impact of the climate change varies significantly within Korea. The variogram analysis revealed that the approximate characteristic scale of linear trend of hourly and daily precipitation statistics ranges between 50 km and 200 km and between 100 km and 250 km, respectively. This characteristic scale is significantly smaller than the spatial scale of atmospheric circulation, which suggests that future water resources management plans of Korea should consider this mesoscale variability that otherwise can be missed if it is based only on the GCM simulation results.