• The CDF-t method

  The Cumulative Distribution Function transform CDF-t (Cumulative Distribution Function transform) is a statistical method based on Quantile Mapping (QM). QM methods are routinely applied to adjust climate model simulations compared to observations. When observations are of similar resolution as the climate model, QM can be viewed as a bias-adjustment method. On the other hand, when observations are of higher resolution, QM also attempts to bridge the scale mismatch and is then viewed as a dowSome readers

• Data processing

  Our data processing Data on the climate data factory are derived from the original model data available on the official IPCC data portal (ESGF). These data are processed with advanced peer-reviewed methods to make them Ready to use. A summary of the processing is presented in this article ; for more details, download the full technical report available on researchgate (https:Few readers

• Limitations of bias-adjustment and downscaling methods

  Methodological limitations Bias-adjustment consists in “calibrating model simulations to ensure their statistical properties are similar to those of the corresponding observed values” (as from climat4impact.eu). Some authors claim that bias-adjustment techniques introduce another level of uncertainty making evaluation of projections uncertainty even harder (e.g., Ehret et al. 2012, Maraun et al., 2016). There are sSome readers

• The ISIMIP initiative

  A brief presentation of the initiative and their climate model selection Few readers