Multivariate Bias-Corrected CMIP6 Ensemble for Slovakia: Daily Temperature, Precipitation, Wind, Humidity and Radiation (1980–2100)

Dataset description This dataset provides bias-corrected daily climate projections for Slovakia, derived from a pan-European multivariate bias correction of CMIP6 general circulation models against the E-OBS gridded observational dataset (v30.0e, 0.1° resolution). Bias correction follows the MBCn approach (Cannon, 2018). Each variable was first corrected independently using seasonal Quantile Delta Mapping (QDM, trend-preserving, per-pixel, per day-of-year window, 1980–2014 calibration period), then an iterative multivariate rotation step restores the inter-variable rank-correlation structure (e.g. between temperature, precipitation, humidity, wind) that independent per-variable correction would otherwise destroy. The correction was performed jointly for seven variables (tas, tasmax, tasmin, pr, sfcWind, hurs, rsds) across the full pan-European E-OBS domain. The bias correction itself was carried out over the full pan-European E-OBS grid. Due to the repository's size limit, this deposit contains only the Slovakia subset (cropped from the pan-European product, 0.1° grid, ~47.5–49.7°N × 16.6–22.7°E). 14 CMIP6 models, historical (1980–2014) and four SSP scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5; 2015–2100), daily resolution, NetCDF format. The historical runs have been adjusted using the 1991–2020 climatological normals from Slovakia's national meteorological network (opendata.shmu.sk). To get more details about the product, send an email to [e-mail] Cite as: Onderka, M., Pecho, J., & Rattayová, V. (2026). Multivariate Bias-Corrected CMIP6 Ensemble for Slovakia: Daily Temperature, Precipitation, Wind, Humidity and Radiation (1980–2100) [Dataset]. Regionálny klimatologický inštitút. https://doi.org/10.5281/zenodo.22755692 Acknowledgement: This research was supported by the National Supercomputing Centre (nscc.sk) through the provision of high-performance computing infrastructure. Project title: "CMIP6 Climate Change Scenarios for Central Europe: Bias correction and derivation of hydroclimatological Variables" (Project code: p2025-26-t). Disclaimer: This dataset represents a scientific research output provided "as is," without warranty of any kind, express or implied. The creators assume no liability or responsibility for any errors, omissions, or direct, indirect, or consequential damages resulting from the use, interpretation, or misuse of these data. References: Cannon, A.J., 2018. Multivariate quantile mapping bias correction: An N-dimensional probability density function transform for climate model simulations of multiple variables. Climate Dynamics, 50(1-2):31-49. doi:10.1007/s00382-017-3580-6 Climatological normals 1991-2020. SHMÚ Open Data: https://opendata.shmu.sk/meteorology/products/grids/climateAdaptation/standardNormals/