Dataset Open Access

Global Bias-Corrected CORDEX Datasets at Quarter Degree Resolution

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

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    <subfield code="a">We 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.</subfield>
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    <subfield code="a">Global Bias-Corrected CORDEX Datasets at Quarter Degree Resolution</subfield>
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    <subfield code="a">ul Hasson, Shabeh</subfield>
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    <subfield code="a">&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; This dataset provides globally consistent, bias-corrected climate data at 0.25&amp;deg; 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&amp;ndash;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,&amp;nbsp;MPI-M-MPI-ESM-LR and MR, and NCC-NorESM1-M. Available here are netCDF files per run, GCM and variable (see &lt;strong&gt;Size&lt;/strong&gt; for the overall sum per GCM).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;TableOfContents:&lt;/strong&gt; 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)&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;TechnicalInfo:&lt;/strong&gt; 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&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Methods:&amp;nbsp;&lt;/strong&gt; The ISIMIP3BASD v2.5 bias correction method (see Lange [&lt;a href="http://doi.org/10.5194/gmd-12-3055-2019"&gt;2019&lt;/a&gt;; &lt;a href="http://doi.org/10.5281/zenodo.4686991"&gt;2021&lt;/a&gt;]) was applied to adjust systematic biases while preserving the climate change signals. This parametric quantile mapping approach:&lt;br&gt;
&amp;bull; Corrects biases across all percentiles of variable distributions&lt;br&gt;
&amp;bull; Preserves trends in these percentiles&lt;br&gt;
&amp;bull; Applies variable-specific treatments (e.g., handling drizzle issues for precipitation)&lt;br&gt;
&amp;bull; Maintains physical relationships between variables (particularly for temperature variables)&lt;/p&gt;

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

&lt;ul&gt;
	&lt;li&gt;Climate Service Center Germany (GERICS), Hamburg, Germany; REMO2015 v1; MPI-ESM-LR and NCC-NorESM1-M and MOHC-HadGEM2-ES&lt;/li&gt;
	&lt;li&gt;Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy;&amp;nbsp;RegCM4-4 v0 and RegCM4-7 v0; MPI-ESM-MR&lt;/li&gt;
	&lt;li&gt;Centre pour l&amp;rsquo;&amp;Eacute;tude et la Simulation du Climat &amp;agrave; l&amp;rsquo;&amp;Eacute;chelle R&amp;eacute;gionale (ESCER),&amp;nbsp;Universit&amp;eacute; du Qu&amp;eacute;bec &amp;agrave; Montr&amp;eacute;al, Canada;&amp;nbsp;CRCM5 v1; MPI-ESM-MR&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The historical runs begin 1979-01-01 and end 2005-12-31. All projection runs begin 2006-01-01 and end 2099-12-31.&lt;/p&gt;

&lt;p&gt;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&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Quality:&lt;/strong&gt; 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 &lt;a href="https://cordex.org/domains/cordex-domain-description/"&gt;https://cordex.org/domains/cordex-domain-description/&lt;/a&gt;)&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Units:&lt;/strong&gt; K; K; K; kg m-2 s-1; W m-2&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;GeoLocation:&lt;/strong&gt; westBoundCoordinate: -165.0; westBoundCoordinateUnit: degrees East; eastBoundCoordinate: 179.0; eastBoundCoordinateUnit: degrees East; southBoundCoordinate: -55.0; southBoundCoordinateUnit: degrees North; northBoundCoordinate: 76.0; northBoundCoordinateUnit: degrees North&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Size:&lt;/strong&gt;&amp;nbsp;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&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Format:&lt;/strong&gt; netCDF&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;DataSources:&lt;/strong&gt; See the file &amp;quot;GloBCORD-QD_Description.pdf&amp;quot;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Contact:&lt;/strong&gt; fuseini.yakubu (at) uni-hamburg.de; shabeh.hasson (at) uni-hamburg.de&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Webpage:&lt;/strong&gt; &lt;a href="https://www.geo.uni-hamburg.de/geographie/abteilungen/physische-geographie/arbeitsgruppen/ag-hareme.html"&gt;https://www.geo.uni-hamburg.de/geographie/abteilungen/physische-geographie/arbeitsgruppen/ag-hareme.html&lt;/a&gt;&lt;/p&gt;</subfield>
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Publication date:
December 9, 2025
DOI:
10.25592/uhhfdm.17799

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Keyword(s):
Climate Model Downscaling CORDEX Air Temperature Precipitation Amount Surface Downwelling Shortwave Radiation CMIP5 ICDC
Related identifiers:
Cites:
10.5281/zenodo.4686991, 10.5194/gmd-12-3055-2019
Supplement to:
10.25592/uhhfdm.18068
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Version 2025_fv0.01 10.25592/uhhfdm.17799 Dec 9, 2025
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