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ClimaProof: Bias Corrected Model Data

Beschreibung

Öffentlich  

ClimaProof bias corrected (scaled distribution mapping) data of selected CORDEX models for daily minimum near-surface air temperature, daily maximum near-surface air temperature, total daily precipitation, daily global radiation, daily mean 10-m wind speed, daily mean relative humidity for the Scenarios RCP 2,6, RCP4.5, RCP8.5 for the Period 1981-2100. The reference period is 1981-2010, the years 2006-2010 are taken from the corresponding rcp4.5 scenario.

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Metadaten

GeoSphere Austria
CCCA Data Centre
Maria Wind (BOKU ROR )
Herbert Formayer ORCID (BOKU ROR )
https://doi.org/10.60669/tbk8-t491
Creative Commons Attribution 4.0
20.06.2018
06.10.2019
19.12.2024 11:52 UTC
01.01.1981
31.12.2100
täglich
nie
Bounding Box: 39.0041 - 46.9041 °N, 13.5041 - 23.9041 °E
The data contained in this dataset was first published through the Climate Change Centre Austria Data Centre (CCCA-DC). Due to the decommissioning of the CCCA-DC, the data was transferred to the GeoSphere Austria Datahub in 2024. During the transfer, the granularity and structure of the metadata were adjusted in accordance with the dataset's authors to meet the requirements of the GeoSphere Austria Datahub. The data itself remained unchanged. For further inquiries, please contact datenzentrum@ccca.ac.at.
Models of the EURO-CORDEX and MED-CORDEX experiment have been bias corrected by means of the scaled distribution mapping (SDM), (Switanek et al., 2017, doi.org/10.5194/hess-21-2649-2017) method. The reference period is 1980-2010 (since the historical runs are only available until 2005, years 2006-2010 have been taken from the corresponding RCP4.5 scenario). The observational data used for bias correction is a composite of DANUBECLIM (Szalai et al. , 2013; www.carpatclim-eu.org) and other freely available observational datasets: CHIRPS (Funk et al., 2015, doi:10.1038/sdata.2015.66) for precipitation, E-OBS (Heylock et al., 2008, doi:10.1029/2008JD010201) for temperature and SARAH (Pfeifroth et al., 2017, doi:10.5676/EUM_SAF_CM/SARAH/V002) for radiation.