takes place in Santander, Spain from May 14th - May 16th, 2018, http://www.climate-bias-correction.org/
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 was 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 aimed to bring together climate modellers, developers of bias correction (BC) methods and users of such methods to cover the whole range of questions raised by biases in climate models.
Topics covered can be related to (non-exhaustive list):
- multivariate (spatial or multi-variables) methods
- stochastic vs. deterministic methods
- bias correction and ensemble generation
- time and lead time dependent bias (drift) correction
- ensemble calibration
- e.g. agronomy, hydrology, ecology, renewable energy, etc.
- Identification of biases in GCMs or RCMs
- Impacts of bias correction on trends and variability of climate simulations
All abstracts, slides and posters can be accessed via the conference book Berlin-Workshop on Bias Correction in Climate Studies 2016
Some slides and posters can also be accessed here
This workshop is financially supported by: