Bias Correcting of Selected ETCCDI Climate Indices for Projected Future Climate

Regional climate models (RCMs) have been developed and extensively applied in the recent decades for dynamically downscaling coarse resolution information from different sources, for various purposes, including past climate simulations and future climate projections. Due to systematic and random model errors, however, RCM simulations often show considerable deviations from observations. This has led to the development of a number of correction approaches, which lately become known with the common name bias correction. Although some criticism exists, the general view in the expert community is that the bias-corrected climate change signal is more reliable compared to the uncorrected one and thus is more suitable for impact assessments. In the present study, which is part of more general work, outputs from simulations for the present-day (1961–1990) climate, as well as for the near future scenario (2021–2050), performed with the model ALADIN-Climate, are used for calculation of selected ETCCDI climate indices. The same subset, but based on observational database E-OBS, is taken from the open archive ClimData and used as reference. The results of the computations, performed over the interior of the Balkan Peninsula, demonstrates the possibilities of the selected bias correction technique and its modifications.