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Bias-corrected EURO-CORDEX RCM simulations for the OPTAIN case studies

Bias-corrected EURO-CORDEX RCM simulations are available on a daily timescale for: -period 1981-2099/2100, -6 RCM, -3 scenarios (RCPs 2.6, 4.5 and 8.5), -7 variables (mean, minimum and maximum temperature, precipitation, solar radiation, wind speed at 2 m and relative humidity) and -18 domains and 23 locations within these domains. Bias correction and further downscaling to 0.1° was done using <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview">ERA5-Land</a> reanalysis data with non-parametric empirical quantile mapping. Moreover, the interpolation of gridded bias-corrected climate model simulations to the locations was made using universal kriging. Organization of the data The name of the files are domain-type.zip, where type is gridded (NetCDF) or point (csv). Each zip file contains multiple files, organized in subfolders: experiment/modelNumber/variable.nc for gridded and experiment/modelNumber/variable-pilotFieldNumber.txt for point data, where experiment is rcp26, rcp45 or rcp85. domain and pilotFieldNumber <table> <tbody> <tr> <td> domain </td> <td> domain location (min and max. Longitude, min and max latitude) </td> <td> pilotFieldNumber </td> <td> pilot field location (longitude, latitude) </td> <td> case study number </td> <td> country </td> <td> Name (OPTAIN case study) </td> </tr> <tr> <td> 01 </td> <td> 50.95 51.45 14.55 15.05 </td> <td> </td> <td>   </td> <td> 1 </td> <td> DEU </td> <td> Schoeps </td> </tr> <tr> <td> 02 </td> <td> 46.35 47.05 6.55 7.15 </td> <td> 2 </td> <td> 46.816667 6.95 </td> <td> 2 </td> <td> CHE </td> <td> Petite Glane </td> </tr> <tr> <td> 02_1 </td> <td> 46.75 47.25 7.25 7.75 </td> <td> 1 </td> <td> 46.983333 7.466667   </td> </tr> <tr> <td> 02_34 </td> <td> 47.35 47.85 8.35 </td> <td> 3 4 </td> <td> 47.433333 8.516667 47.683333 8.616667 </td> </tr> <tr> <td> 02_5 </td> <td> 46.15 46.65 5.95 6.45 </td> <td> 5 </td> <td> 46.4 6.233333 </td> </tr> <tr> <td> 03a </td> <td> 46.65 47.15 17.45 17.95 </td> <td> 1 2 3 4 </td> <td> 46.92649 17.68246 46.9166 17.68976 46.91283 17.69754 46.91283 17.69723 </td> <td> 3a </td> <td> HUN </td> <td> Csorsza </td> </tr> <tr> <td> 03b </td> <td> 46.45 46.95 16.65 17.15 </td> <td> </td> <td>   </td> <td> 3b </td> <td> HUN </td> <td> Felso Valicka </td> </tr> <tr> <td> 04 </td> <td> 52.35 52.85 18.45 18.95 </td> <td> 1 </td> <td> 52.597469 18.728617 </td> <td> 4 </td> <td> POL </td> <td> Upper Zglowiaczka </td> </tr> <tr> <td> 05 </td> <td> 46.35 46.85 15.35 15.85 </td> <td> </td> <td>   </td> <td> 5 </td> <td> SVN </td> <td> Pesnica </td> </tr> <tr> <td> 06 </td> <td> 46.45 46.95 16.15 16.65 </td> <td> </td> <td>   </td> <td> 6 </td> <td> HUN/SVN </td> <td> Kebele/Kobiljski </td> </tr> <tr> <td> 07 </td> <td> 49.85 50.35 4.75 5.25 </td> <td> </td> <td>   </td> <td> 7 </td> <td> BEL </td> <td> La Wimbe </td> </tr> <tr> <td> 08 </td> <td> 55.15 55.75 23.55 24.05 </td> <td> 1 2 </td> <td> 55.522057 23.799235 55.42233194 23.82580339 </td> <td> 8 </td> <td> LTU </td> <td> Dotnuvele </td> </tr> <tr> <td> 09 </td> <td> 45.45 45.95 9.65 10.15 </td> <td>   </td> <td>   </td> <td> 9 </td> <td> ITA </td> <td> Cherio </td> </tr> <tr> <td> 10 </td> <td> 59.45 59.95 10.75 11.25 </td> <td> 1 2 3 4 5 6 7 8 </td> <td> 59.71949 10.83576 59.6833306 10.8833298 59.6833306 10.8833298 59.665 10.9475 59.665 10.9475 59.841012 10.903597 59.757631 11.072031 59.539623 10.856447 </td> <td> 10 </td> <td> NOR </td> <td> Krogstad </td> </tr> <tr> <td> 11 </td> <td> 46.45 46.95 17.55 18.05 </td> <td> 1 2 </td> <td> 46.658333 17.75583 46.656944 17.75833 </td> <td> 11 </td> <td> HUN </td> <td> Tetves </td> </tr> <tr> <td> 12 </td> <td> 49.35 49.85 14.75 15.25 </td> <td> 1 </td> <td> 49.616837 15.078266 </td> <td> 12 </td> <td> CZE </td> <td> Cechticky </td> </tr> <tr> <td> 13 </td> <td> 55.85 56.35 25.85 26.45 </td> <td>   </td> <td>   </td> <td> 13 </td> <td> LVA </td> <td> Dviete </td> </tr> <tr> <td> 14 </td> <td> 59.75 60.25 17.55 18.05 </td> <td>   </td> <td>   </td> <td> 14 </td> <td> SWE </td> <td> Ingvastaan Lehstaan </td> </tr> </tbody> </table>   modelNumber <table> <tbody> <tr> <td> modelNumber </td> <td> Driving Model (GCM) </td> <td> Ensemble </td> <td> RCM </td> <td> End date </td> </tr> <tr> <td> 1 </td> <td> EC-EARTH </td> <td> r12i1p1 </td> <td> CCLM4-8-17 </td> <td> 31.12.2100 </td> </tr> <tr> <td> 2 </td> <td> EC-EARTH </td> <td> r3i1p1 </td> <td> HIRHAM5 </td> <td> 31.12.2100 </td> </tr> <tr> <td> 3 </td> <td> HadGEM2-ES </td> <td> r1i1p1 </td> <td> HIRHAM5 </td> <td> 30.12.2099 </td> </tr> <tr> <td> 4 </td> <td> HadGEM2-ES </td> <td> r1i1p1 </td> <td> RACMO22E </td> <td> 30.12.2099 </td> </tr> <tr> <td> 5 </td> <td> HadGEM2-ES </td> <td> r1i1p1 </td> <td> RCA4 </td> <td> 30.12.2099 </td> </tr> <tr> <td> 6 </td> <td> MPI-ESM-LR </td> <td> r2i1p1 </td> <td> REMO2009 </td> <td> 31.12.2100 </td> </tr> </tbody> </table>   variable <table> <tbody> <tr> <td> variable </td> <td> description </td> <td> Unit </td> </tr> <tr> <td> Tmean </td> <td> Mean temperature </td> <td> °C </td> </tr> <tr> <td> Tmin </td> <td> Min temperature </td> <td> °C </td> </tr> <tr> <td> Tmax </td> <td> Max temperature </td> <td> °C </td> </tr> <tr> <td> prec </td> <td> Precipitation </td> <td> mm </td> </tr> <tr> <td> solarRad </td> <td> Solar radiation </td> <td> MJ/m2 </td> </tr> <tr> <td> windSpeed </td> <td> Wind speed at 2m </td> <td> m/s </td> </tr> <tr> <td> relHum </td> <td> Relative humidity </td> <td> % </td> </tr> </tbody> </table>   Methodolody Bias correction was done using non-parametric empirical quantile mapping with modified method from R package <a href="https://cran.r-project.org/web/packages/qmap/index.html">qmap</a>. Parameters selected were: corrections for each day of the year using a moving windows for a 31 days; 100 quantiles; wet days corrections for precipitation. The reference period is 1981-2010. The interpolation of gridded bias-corrected climate model simulations to the location was made using universal kriging  with R packages <a href="https://cran.r-project.org/web/packages/automap/index.html">automap</a> and <a href="https://cran.r-project.org/web/packages/gstat/index.html">gstat</a> with (external) variables x, y, x2, y2, x*y, z, where x is latitude, y is longitude, and z is elevation. For Digital Elevation Model <a href="https://webmap.ornl.gov/wcsdown/dataset.jsp?dg_id=10008_1">Shuttle Radar Topography Mission</a> was used. If there was an error using above mentioned variables, the number of variables was reduced to x, y, x*y, z and if there was still an error to x, y, z.   Funding This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862756.

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship: 8
Harmonization: 8
Access: 16
Reuse readiness: 8
Engagement: 4

Topics

OPTAIN RCM EURO-CORDEX CORDEX bias correction ERA5-Land