December 9, 2025 Dataset Open Access

Yakubu, Fuseini; Böhner, Jürgen; Schickhoff, Udo; Scholten, Thomas; ul Hasson, Shabeh

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  <dc:contributor>Sadikni, Remon</dc:contributor>
  <dc:contributor>Kern, Stefan</dc:contributor>
  <dc:creator>Yakubu, Fuseini</dc:creator>
  <dc:creator>Böhner, Jürgen</dc:creator>
  <dc:creator>Schickhoff, Udo</dc:creator>
  <dc:creator>Scholten, Thomas</dc:creator>
  <dc:creator>ul Hasson, Shabeh</dc:creator>
  <dc:date>2025-12-09</dc:date>
  <dc:description>Abstract: This dataset provides globally consistent, bias-corrected climate data at 0.25° grid resolution, consisting of a set of five climate variables derived from four General Circulation Models (GCMs) participating in CMIP5 downscaled by 4 CORDEX Regional Climate Model (RCM) simulations and bias-corrected globally for the period 1979–2099 for 7 to 10 CORDEX domains. It includes data from two climate change scenarios, namely RCP2.6 and RCP8.5. The CMIP5 GCMs are: MOHC-HadGEM2-ES, MPI-M-MPI-ESM-LR and MR, and NCC-NorESM1-M. Available here are netCDF files per run, GCM and variable (see Size for the overall sum per GCM).

TableOfContents: daily mean 2m-air temperature (tas); daily minimum 2m-air temperature (tasmin), daily maximum 2m-air temperature (tasmax); daily sum of precipitation (pr); daily mean surface downwelling shortwave radiation (rsds)

TechnicalInfo: dimension: 1440 columns x 720 rows; temporalExtent_startDate_Historlcal: 1979-01-01 00:00:00; temporalExtent_endDate_Historical: 2005-12-31 23:59:59; temporalDuration_Historical: 27; temporalDurationUnit_Historical: a; temporalExtent_startDate_RCPs: 2006-01-01 00:00:00; temporalExtent_endDate_RCPs: 2099-12-31 23:59:59; temporalDuration_RCPs: 94; temporalDurationUnit_RCPs: a; temporalResolution: 1; temporalResolutionUnit: d; spatialResolution: 0.25; spatialResolutionUnit: degree; horizontalResolutionXdirection: 0.25; horizontalResolutionXdirectionUnit: degree; horizontalResolutionYdirection: 0.25; horizontalResolutionYdirectionUnit: degree; verticalResolution: none; verticalResolutionUnit: none

Methods:  The ISIMIP3BASD v2.5 bias correction method (see Lange [2019; 2021]) was applied to adjust systematic biases while preserving the climate change signals. This parametric quantile mapping approach:
• Corrects biases across all percentiles of variable distributions
• Preserves trends in these percentiles
• Applies variable-specific treatments (e.g., handling drizzle issues for precipitation)
• Maintains physical relationships between variables (particularly for temperature variables)

using the CHELSA-W5E5 observational reference dataset. The regional climate models (RCMs) used are: (listed are Institution/working group; RCM Models; Driving GCMs): 


	Climate Service Center Germany (GERICS), Hamburg, Germany; REMO2015 v1; MPI-ESM-LR and NCC-NorESM1-M and MOHC-HadGEM2-ES
	Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy; RegCM4-4 v0 and RegCM4-7 v0; MPI-ESM-MR
	Centre pour l’Étude et la Simulation du Climat à l’Échelle Régionale (ESCER), Université du Québec à Montréal, Canada; CRCM5 v1; MPI-ESM-MR


The historical runs begin 1979-01-01 and end 2005-12-31. All projection runs begin 2006-01-01 and end 2099-12-31.

The routines (python) used to create and work with the data sets are available from this web page as well: Discontinuity_Analyses_GloBCORD-QD.py

Quality: Not all of the domains have been downscaled by CORDEX RCMs. Therefore, data files for MPI-M-MPI-ESM-MR only contain 8 (rcp26: 7) CORDEX domains; all other files contain 10 domains (see also https://cordex.org/domains/cordex-domain-description/)

Units: K; K; K; kg m-2 s-1; W m-2

GeoLocation: westBoundCoordinate: -165.0; westBoundCoordinateUnit: degrees East; eastBoundCoordinate: 179.0; eastBoundCoordinateUnit: degrees East; southBoundCoordinate: -55.0; southBoundCoordinateUnit: degrees North; northBoundCoordinate: 76.0; northBoundCoordinateUnit: degrees North

Size: MOHC-HadGEM2-ES: 280.3 GByte, MPI-M-MPI-ESM-LR: 271.0 GByte, MPI-M-MPI-ESM-MR: 214.3GByte, NCC-NorESM1-M: 280.4 GByte

Format: netCDF

DataSources: See the file "GloBCORD-QD_Description.pdf"

Contact: fuseini.yakubu (at) uni-hamburg.de; shabeh.hasson (at) uni-hamburg.de

Webpage: https://www.geo.uni-hamburg.de/geographie/abteilungen/physische-geographie/arbeitsgruppen/ag-hareme.html</dc:description>
  <dc:identifier>https://www.fdr.uni-hamburg.de/record/17799</dc:identifier>
  <dc:identifier>10.25592/uhhfdm.17799</dc:identifier>
  <dc:identifier>oai:fdr.uni-hamburg.de:17799</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.4686991</dc:relation>
  <dc:relation>doi:10.5194/gmd-12-3055-2019</dc:relation>
  <dc:relation>doi:10.25592/uhhfdm.18068</dc:relation>
  <dc:relation>doi:10.25592/uhhfdm.17798</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Climate Model Downscaling</dc:subject>
  <dc:subject>CORDEX</dc:subject>
  <dc:subject>Air Temperature</dc:subject>
  <dc:subject>Precipitation Amount</dc:subject>
  <dc:subject>Surface Downwelling Shortwave Radiation</dc:subject>
  <dc:subject>CMIP5</dc:subject>
  <dc:subject>ICDC</dc:subject>
  <dc:title>Global Bias-Corrected CORDEX Datasets at Quarter Degree Resolution</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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