A combined wavelet analysis-quantile mapping (WA-QM) method for bias correction: capturing the intra-annual temporal patterns in climate model precipitation simulations and projections

• Published in: Environmental research letters Vol. 20; no. 2; pp. 24049 - 24059
• Main Authors: Wu, Xia, Liu, Zhu, Duan, Qingyun
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.02.2025
• Subjects: Annual precipitation; Bias; bias correction; Climate change; Climate models; CMIP6; Density functions; Discrete Wavelet Transform; Effectiveness; Frequencies; Global climate; Global climate models; Hydrologic data; Mapping; Precipitation; quantile mapping; Quantiles; Spatial data; Standard deviation; temporal patterns; Wavelet analysis

Despite recent improvements, global climate models (GCMs) still have biases that prevent their direct application. Quantile mapping (QM) has been widely used in bias correction (BC) due to its effectiveness in aligning the cumulative density function of climate model data with observations. However,...