Bias?adjustment of high?resolution temperature <scp>CORDEX</scp> data over the Carpathian region: Expected changes including the number of summer and frost days

Climate model simulations' outputs are prone to biases compared observations; furthermore, climate projections can be very different in modelling future temperature characteristics. One possible solution for reducing uncertainty and eliminating systematic errors within is the bias-adjustment of raw data. We used quantile mapping method a mini ensemble consisting 8-member high-resolution (0.11°) regional simulations provided by CORDEX community. As requires reliable observational dataset serving as reference data, we quality controlled homogenized dataset: CARPATCLIM. Quantile technique was applied on following variables: daily mean, minimum maximum temperature. analysed changes mean characteristics indices periods 2021–2050 2070–2099 with respect period 1976–2005 Carpathian Region. The selected based (frost days, FD) data (summer SU). Our bias-adjusted RCM results suggest similar degree change RCMs' Bias-adjusted project remarkable annual increase average under RCP8.5 scenario (1.4°C 3.9°C 2070–2099, respectively). highest likely occur summer: it 4.3°C end 21st century. More pronounced differences were found projected number summer frost days draw attention fact that crucial provision impact adaptation studies