RoCliB - Bias corrected CORDEX RCM dataset over Romania

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:

• Climate variables: air temperature (tasAdjust - Celsius degree), maximum air temperature (tasmaxAdjust - Celsius degree), minimum air temperature (tasminAdjust - Celsius degree) and precipitation (prAdjust - mm).
• Temporal resolution: daily
• Temporal extent: 
  • Historical: 1971-2005;
  • RCP4.5 and RCP8.5: 2006-2100.
• Spatial resolution: 0.1 degrees (~10km)
• Spatial extent: from 20.1 to  29.8°E and 43.5 to 48.4°N. 
• File format: netCDF,  CF-1.4-compliant format using netCDF4 compression.
• Coordinate system: WGS 1984 (EPSG:4326)
• Naming conventions: variablename_ROU-11_cmip5experiment_globalmodel_run_regionalmodel_rcmversionid_timefrequency_starttime-endtime.nc
• RMCs (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

Acknowledgement
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.

References

1. Cannon, Alex J. "Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables." Climate dynamics 50, no. 1 (2018): 31-49.

2. Dumitrescu, Alexandru, and Marius-Victor Birsan. "ROCADA: a gridded daily climatic dataset over Romania (1961–2013) for nine meteorological variables." Natural Hazards 78, no. 2 (2015): 1045-1063.