The New Bias Correction Method for Daily Extremes Precipitation over South Korea using CMIP6 GCMs

Young Hoon Song, Eun-Sung Chung () and Shamsuddin Shahid
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Young Hoon Song: Seoul National University of Science and Technology
Eun-Sung Chung: Seoul National University of Science and Technology
Shamsuddin Shahid: Universiti Teknologi Malaysia (UTM)

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 15, No 12, 5977-5997

Abstract: Abstract Double gamma quantile mapping (DGQM) can outperform single gamma quantile mapping (SGQM) for bias correction of global circulation models (GCMs) using two gamma functions for two segments based on a specific quantile. However, there are two ambiguous points, the use of specific quantile and only Gamma probability distribution function. Therefore, this study introduced a flexible dividing point, δ (%), which can be adjusted to the regionally observed values at the station and consider the combination of various probability distributions for the two separate segments (e.g., Weibull, lognormal, and Gamma). The newly proposed method, flexible double distribution quantile mapping (F-DDQM), was employed to correct the bias of 8 GCMs of Coupled Model Intercomparison Project Phase 6 (CMIP6) at 22 stations in South Korea. The results clearly show a higher performance of F-DDQM than DGQM and Flexible-DGQM (F-DGQM) by 27% and 19%, respectively, in root mean square error. The F-DGQM also performed better in replicating probability distribution, spatial variability and extremes of observed precipitation than other methods. This study contributes to improving the bias correction method for better projection of extreme values.

Keywords: Double gamma quantile mapping; Bias correction method; Flexible double gamma quantile mapping; Flexible double distribution quantile mapping (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-022-03338-3

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