Evaluation of precipitation output from the EURO-CORDEX climate ensemble using E-OBS data

Global climate models are used for projecting climate changes on a global scale. However,
when we need information for local climate changes, a regional climate model with
a finer grid that uses the global climate model as boundary conditions is necessary to gain
more precise information. Therefore it is important to make good regional climate models
that are unbiased when projecting climate changes. This note investigates the fit of
precipitation projections from nine combinations of global and regional climate models
from EURO-CORDEX and four bias correction methods applied to some of these. This is
performed by comparing the models with data from the E-OBS dataset using integrated
quadratic distance (IQD).
All the climate models had difficulties with their projections in the areas of Fennoscandia
with high amount of daily precipitation or long drought periods, while the IQD was improved
for all climate models after bias correction, the IQD was still highest in the areas
with more extreme data after bias correction. The LSCE-IPSL-CDFt-EOBS10-1971-2005
bias correction method obtained the best results for all our tests. However, this method
was calibrated using the E-OBS dataset. As the other bias correction methods used different
datasets the current results should be compared to an evaluation using alternative
observation-based datasets.