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Berlin-Workshop on Bias Correction in Climate Studies

Climate projections, decadal and seasonal predictions generally exhibit systematic deviations from observations. Removing those biases is typically the first step towards useful climate projections or decadal/seasonal forecasts and thus a prerequisite for subsequent use, e.g. in impact studies for climate services. Challenges are not only posed by highly skewed variables such as precipitation but also by time dependent biases (drifts) or physical and spatial consistency.

The goal of this workshop is to review the state of the art of current methods and challenges for statistical bias correction for climate projections, decadal and seasonal predictions and the application for various impact studies and climate services. Hence, the workshop aims to bring together climate modelers, developers of bias correction (BC) methods and users of such methods to cover the whole range of questions raised by biases in climate models.