May 14th - 16th 2018, Santander, Spain
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).
Further information can be found on: http://climate-bias-correction.org/index.php
