Two dimensional bias correction of temperature and precipitation copulas in climate models

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Multivariate stochastic bias corrections with optimal transport (2018, methodology): “In the particular case of the temperatures/precipitation correction, compared to, e.g., Piani and Haerter (2012) and Räty et al. (2018), the correction is at least as good during the calibration period, although the comparison is not done over the projection period, because the indicators are…”
Multivariate—Intervariable, Spatial, and Temporal—Bias Correction* (2015, methodology): “d the ‘‘conditional approach’’ (Piani and Haerter 2012) (here, based on CDFt) developed specifically for producing a correct two-dimensional intervariable structure;”
The effect of univariate bias adjustment on multivariate hazard estimates (2019, methodology): “In recognition of these issues, several multivariate bias-adjustment methods have been suggested in the recent past (Piani and Haerter, 2012; Li et al., 2014; Vrac and Friederichs, 2015; Cannon, 2016; Mehrotra and Sharma, 2016; Vrac, 2018).”