 The statistical bias correction method developed by ISIMIP is designed to correct climate model data for systematic deviations of the simulated historical data from observations. This method uses transfer functions to map the distribution of the simulated historical data to that of the observations. These transfer functions are then applied to correct the future projections. Additionally, this method can also be used to preserve the warming signal when only land area data is available. This article was offered by S. Hempel, K. Freeler, L. Warsowski, and others.