Multisegment statistical bias correction of daily GCM precipitation output

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A nonstationary bias‐correction technique to remove bias in GCM simulations (2016, methodology): “…developed by Panofsky and Brier [1968] and has been successfully implemented in hydrologic applications [Boé et al., 2007; Maurer and Hidalgo, 2008; Wood et al., 2004] and, more recently, in bias correction of climate models [Dobler and Ahrens, 2008; Grillakis et al., 2013; Piani et al., 2010].”
Robust bias-correction of precipitation extremes using a novel hybrid empirical quantile-mapping method (2021, background): “Overfitting is problematic because it can lead to instability of the TF at higher quantiles (Gobiet et al. 2015; Grillakis et al. 2013; Hnilica et al. 2017).”
Joint bias correction of temperature and precipitation in climate model simulations (2014, methodology): “…correction methods [e.g., Ines and Hansen, 2006; Christensen et al., 2008; Piani et al., 2010a, 2010b; Li et al., 2010; Haerter et al., 2011; Johnson and Sharma, 2012; Grillakis et al., 2013; Hempel et al., 2013] correct variables independently, with variable interactions typically not considered.”