DOI: 10.5281/zenodo.4642463
title: RoCliB - Bias corrected CORDEX RCM dataset over Romania

description: This dataset contains a set of four climate variables from 10 General Circulation Models (GCMs), dynamically downscaled in the EURO-CORDEX initiative by several Regional Climate Models (RCMs) and adjusted (bias-corrected) over Romania for the period 1971–2100. The climate models data were obtained from the EURO-CORDEX archive. Two climate change scenarios were selected, namely the moderate (RCP4.5) and business-as-usual scenario (RCP8.5). The multivariate bias correction by the N-dimensional probability density method (MBCn) was used to bias correct the RCMs outputs [1], using as reference the ROCADA gridded dataset [2]. Characteristic: <strong>Climate variables</strong>: air temperature (tasAdjust - Celsius degree), maximum air temperature (tasmaxAdjust - Celsius degree), minimum air temperature (tasminAdjust - Celsius degree) and precipitation (prAdjust - mm) <strong>Bias-correction method:</strong> multivariate bias correction (N-pdft) <strong>The reference period used for bias correction: </strong>1971-2005 <strong>The observational dataset used as a reference for bias correction: </strong>ROCADAv1 <strong>Temporal resolution:</strong> daily <strong>Temporal extent</strong>: Historical: 1971-2005; RCP4.5 and RCP8.5: 2006-2100. <strong>Spatial resolution:</strong> 0.1 degrees (~10km) <strong>Spatial extent:</strong> from 20.1 to 29.8°E and 43.5 to 48.4°N <strong>File format: n</strong>etCDF, CF-1.4-compliant format using netCDF4 compression <strong>Coordinate system: </strong>WGS 1984 (EPSG:4326) <strong>Naming conventions: </strong><em>variablename</em>_ROU-11_<em>cmip5experiment</em>_<em>globalmodel</em>_<em>run</em>_r<em>egionalmodel</em>_<em>rcmversionid</em>_<em>timefrequency</em>_<em>starttime-endtime</em><em>.</em>nc <strong>RMCs</strong> (Institution or working group, RCM Model, GCM Institute, GCM Driving): Climate Limited-area Modelling Community (CLMcom) CCLM4-8-17 CNRM-CERFACSCNRM-CM5 Royal Netherlands Meteorological Institute (KNMI) RACMO22E CNRM-CERFACS CNRM-CM5 Swedish Meteorological and Hydrological Institute (SMHI) RCA4CNRM-CERFACS CNRM-CM5 Climate Limited-area Modelling Community (CLMcom) CCLM4-8-17 ICHECEC-EARTH Swedish Meteorological and Hydrological Institute (SMHI) RCA4I CHECEC-EARTH Royal Netherlands Meteorological Institute (KNMI) RACMO22E ICHECEC-EARTH Danish Meteorological Institute (DMI) HIRHAM5 ICHECEC-EARTH Climate Limited-area Modelling Community (CLMcom) CCLM4-8-17 MPI-MMPI-ESM-LR Swedish Meteorological and Hydrological Institute (SMHI) RCA4 MPI-MMPI-ESM-LR Climate Service Center Germany (GERICS) REMO2015 NCC NorESM1-M <strong>The terms of use</strong> for RoCliB datasets are the same as those from the original EURO-CORDEX simulations obtained from ESGF servers: https://is-enes-data.github.io/cordex_terms_of_use.pdf. <strong>To access and visualize</strong> relevant facts and statistics about climate change based on the RoCliB datasets use http://suscap.meteoromania.ro/en/roclib. <strong>Acknowledgement</strong><br> This work was supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CCCDI-UEFISCDI, project number COFUND-SUSCROP-SUSCAP-2, within PNCDI III. We also acknowledge the World Climate Research Programme's Working Group on Regional Climate, and the Working Group on Coupled Modelling, former coordinating body of CORDEX and responsible panel for CMIP5.
description: {"references": ["1. Cannon, Alex J. \"Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables.\"\u00a0Climate dynamics\u00a050, no. 1 (2018): 31-49.", "2. Dumitrescu, Alexandru, and Marius-Victor Birsan. \"ROCADA: a gridded daily climatic dataset over Romania (1961\u20132013) for nine meteorological variables.\"\u00a0Natural Hazards\u00a078, no. 2 (2015): 1045-1063."]}