Regional quantile delta mapping method using regional frequency analysis for regional climate model precipitation

Climate Change Projections of Temperature and Precipitation in the Eastern Black Sea Basin, Turkey by using Multivariate Adaptive Regression Splines Statistical Downscaling Method

“…Due to the different sources of these biases, it is not easy to resolve within climate models. Therefore, these biases need to be corrected after downscaling model outputs are obtained (Kim et al 2020). Many studies have been carried out in which different bias correction methods are applied in order to correct the aforementioned bias and to make future climate data more realistic (Okkan and Inan 2015a; Zhao et al 2017;Reiter et al 2018;Guo et al 2019;Kim et al 2020;Salmani-Dehaghi and Samani 2021).…”

“…In this study, the quantile delta mapping (QDM) method was used for bias correction. QDM bias correction method was developed to preserve the relative change ratio in the modeled quantiles of variables (Cannon et al 2015;Kim et al 2020). The basic equation of the QDM method comprises the bias-corrected value term obtained from the observational data and the relative change term (∆) obtained from the model data, as defined in Equations 1.…”

“…where , ( ) is the model (simulated) data at time t of the projected period, ∆ ( ) is the relative change in the model data between the historical and future periods, , −1 and ,ℎ −1 are the cumulative probability function (CDF) of the raw data of the statistical downscale model and the inverse CDF of the observed data, and : ,ℎ: ( ) is the bias corrected data for the historical period. Thus, the bias-corrected future projection at time t is given by multiplying the relative change ∆ ( ) by the historical bias-corrected value (Kim et al 2020). More details about the QDM and its implementation can be found in Cannon et al (2015) and Kim et al (2020).…”

“…Thus, the bias-corrected future projection at time t is given by multiplying the relative change ∆ ( ) by the historical bias-corrected value (Kim et al 2020). More details about the QDM and its implementation can be found in Cannon et al (2015) and Kim et al (2020).…”

Evaluation of Bias Correction Methods for Regional Climate Models: Downscaled Rainfall Analysis Over Diverse Agroclimatic Zones of India

“…Thus, it becomes imperative to correct the RCM simulated meteorological variables before they could be used for impact studies (Mall et al, 2019;Seneviratne et al, 2012). Over the past decades, various bias correction methods are in use, these range from simple scaling approaches to sophisticated distribution mapping, quantile delta mapping and regional quantile delta mapping (RQDM) (Acharya et al, 2013;Chen et al, 2011Chen et al, , 2013Fang et al, 2015;Gutjahr & Heinemann, 2013;Kim et al, 2021;Miralha et al, 2021;Piani et al, 2010;Sharma et al, 2007;A. Singh et al, 2017Teutschbein & Seibert, 2012;Tiwari, Kar, Mohanty, Dey, Kumari, et al, 2016;Voropay et al, 2021;Xavier et al, 2021).…”