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2nd Workshop on Bias Correction in Climate Studies

Climate predictions (seasonal and decadal) and projections (multi-decadal) generally exhibit systematic deviations from observations. Removing those biases is typically the first step towards useful/actionable climate information and thus a prerequisite for subsequent use, e.g. in impact studies and/or for climate services. Curent challenges in this field include physical (inter-variable) and spatial consistency, time dependent biases (drifts), extrapolation and nonstationarity, and comprehensive evaluation methodologies (e.g. process-based).

The goal of this workshop is to review the state of the art of current methods and challenges for statistical bias correction in climate studies at different temporal scales (from seasonal and decadal forecasting to multi-decadal climate change projections), and the application of these methods in various impact studies and climate services (for example in COPERNICUS related activities). Hence, the workshop will bring together climate modelers, developers of bias correction (BC) methods and tools, and users of such methods in different climate-related fields and initiatives, to cover the whole range of questions raised by biases in climate models, and to discuss the challenges posed by the ongoing developments around climate services.