Research Article Projecting Future Climate Change Scenarios Using Three Bias-Correction Methods Donghyuk Kum, 1 Kyoung Jae Lim, 1 Chun Hwa Jang, 1 Jichul Ryu, 2 Jae E. Yang, 3 Seong Joon Kim, 4 Dong Soo Kong, 5 and Younghun Jung 1 1 Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon, Gangwon 200-701, Republic of Korea 2 National Institute of Environmental Research, Incheon 404-708, Republic of Korea 3 Department of Biological Environment, Kangwon National University, Chuncheon, Gangwon 200-701, Republic of Korea 4 Department of Civil & Environmental System Engineering, Konkuk University, Seoul 143-701, Republic of Korea 5 Department of Life Science, Kyonggi University, Suwon 443-760, Republic of Korea Correspondence should be addressed to Younghun Jung; jung.younghun@gmail.com Received 22 August 2014; Revised 8 November 2014; Accepted 25 November 2014; Published 14 December 2014 Academic Editor: Klaus Dethlof Copyright © 2014 Donghyuk Kum et al. his 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. We performed bias correction in future climate change scenarios to provide better accuracy of models through adaptation to future climate change. he proposed combination of the change factor (CF) and quantile mapping (QM) methods combines the individual advantages of both methods for adjusting the bias in global circulation models (GCMs) and regional circulation models (RCMs). We selected a study site in Songwol-dong, Seoul, Republic of Korea, to test and assess our proposed method. Our results show that the combined CF + QM method delivers better performance in terms of correcting the bias in GCMs/RCMs than when both methods are applied individually. In particular, our proposed method considerably improved the bias-corrected precipitation by capturing both the high peaks and amounts of precipitation as compared to that from the CF-only and QM-only methods. hus, our proposed method can provide high-accuracy bias-corrected precipitation data, which could prove to be highly useful in interdisciplinary studies across the world. 1. Introduction With the increase in industrialization around the world, the quality of human life has improved in various aspects through advancement in scientiic technology, profession- alism in occupations, level of consumption, and so forth. However, these improvements have caused an excessive use of fossil fuels (coal, petroleum, natural gas, etc.) [1] and an increase in global temperatures triggered by the increase in greenhouse gases (carbon dioxide, nitrogen dioxide, etc.) in the troposphere [2]. In general, human activity in agriculture, industry, and commerce inluences global ecosystems through factors such as aerosol efects, land use change, and deforestation. his can lead to negative impacts such as increase in air tem- perature and changes in precipitation patterns [3], which mainly inluence climate change globally [4]. According to the 4th Assessment Report (AR4), Intergovernmental Panel on Climate Change (IPCC) [5], the number of days with precipitation and lood occurrence frequencies has steadily and gradually increased due to unusual climate changes indicating that natural disasters will occur more frequently and intensely in the future than before [5]. Republic of Korea has mountainous terrain across approximately 70% of its area and more than 70% of the coun- try’s precipitation occurs during the summer period (July to September) [6]. hus, signiicant amount of water from rainfall is usually discharged into streams as direct runof and the topographical characteristics of the land aid this discharge. Republic of Korea has sufered from both frequent loods aided by the direct runof in the summer period and droughts caused by water scarcity due to unbalanced rainfall during the crop growing seasons. hese repetitive natural disasters have caused great economic losses and uncertainties in sustainable water resources management plans across the country every year [7]. Hindawi Publishing Corporation Advances in Meteorology Volume 2014, Article ID 704151, 12 pages http://dx.doi.org/10.1155/2014/704151