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Temporary Dataset Download: Global rainfall erosivity projections for 2050 and 2070

Dataset Access Expires on

24-January-2026

Notifications

  1. The data provided has been prepared for use by internal research activities in the Joint Research Centre (JRC) Ispra in collaboration with external partners who work to further elaborate the Global Rainfall Erosivity Database (GloREDa).
  2. The data are the result of JRC research activities and are primarily made available for further research. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.
  3. The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. They can be used for any purpose, including commercial gain.
  4. The user agrees to:
    • make proper reference to the source of the data when disseminating the results to which this agreement relates;
    • Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).

 

Rainfall Erosivity projections for 19 models and three RCPs for 2050 and 2070. Model names and information can be found in the Supplementary Material of the article. We also provide the aggregated data. The description of the models can be found either in the article or in the supplementary material. In case you need just one dataset per RCP, then download the Aggregated data.

AllcodeRCP2.6RCP4.5RCP8.5
Aggregated dataAll2050 - 20702050 - 20702050 - 2070
ACCESS1-0AC        2050 - 20702050 - 2070
BCC-CSM1-1BC2050 - 20702050 - 20702050 - 2070
CCSM4CC2050 - 20702050 - 20702050 - 2070
CESM1-CAM5-1-FV2CE 2050 - 2070 
CNRM-CM5CN2050 - 20702050 - 20702050 - 2070
GFDL-ESM2GGD2050 - 20702050 - 2070 
GFDL-CM3GF2050 - 20702050 - 20702050 - 2070
GISS-E2-RGS2050 - 20702050 - 20702050 - 2070
HadGEM2-AOHD2050 - 20702050 - 20702050 - 2070
HadGEM2-ESHE2050 - 20702050 - 20702050 - 2070
HadGEM2-CCHG 2050 - 20702050 - 2070
INMCM4IN 2050 - 20702050 - 2070
IPSL-CM5A-LRIP2050 - 20702050 - 20702050 - 2070
MIROC5MC2050 - 20702050 - 20702050 - 2070
MRI-CGCM3MG2050 - 20702050 - 20702050 - 2070
MIROC-ESM-CHEMMI2050 - 20702050 - 20702050 - 2070
MPI-ESM-LRMP2050 - 20702050 - 20702050 - 2070
MIROC-ESMMR2050 - 20702050 - 20702050 - 2070
NorESM1-MNO2050 - 20702050 - 20702050 - 2070

Units are in percentages (%) like in the figures 5 and 6 of the revelevant publication (below)

Chage in period (%)   
Change  2010-2050RCP2.6RCP4.5RCP8.5
Change  2050-2070RCP2.6RCP4.5RCP8.5

 

Reference: Panagos, P., Borrelli, P., Matthews, F., Liakos, L., Bezak, N., Diodato, N. and Ballabio, C., 2022. Global rainfall erosivity projections for 2050 and 2070. Journal of Hydrology, 610, Art.no.127865.DOI: 10.1016/j.jhydrol.2022.127865

 

 

 

 

 

 

Panagos, P., Borrelli, P., Matthews, F., Liakos, L., Bezak, N., Diodato, N. and Ballabio, C., 2022. Global rainfall erosivity projections for 2050 and 2070. Journal of Hydrology, 610, Art.no.127865.DOI: 10.1016/j.jhydrol.2022.127865

Joint Research Centre - European Soil Data Centre (ESDAC)
ID 123580
Date - Time Sat, 01/10/2026 - 08:06
Name of User zyq
Organization Guizhou Normal University
Type of Organization University
-- Other
E-mail 3576920897@qq.com
Purpose This study focuses on the ecological protection and sustainable management of the Qijiang River Basin. The core data is used to: support the soil conservation module of the InVEST model by extracting parameters such as topography, soil, and vegetation to quantify soil erosion risk and conservation function; ensure the hydrological simulation of the SWAT model by integrating meteorological and hydrological data to complete parameter calibration and accurately simulate watershed hydrological processes and water quality changes; and integrate multi-source and predictive data to assess the evolution of ecosystem services under different scenarios, providing scientific support for watershed ecological governance and decision-making.
Notes

When making reference to the ESDAC

  • Panagos, P., Van Liedekerke, M., Borrelli, P., Köninger, J., Ballabio, C., Orgiazzi, A., Lugato, E., Liakos, L., Hervas, J., Jones, A.  Montanarella, L. 2022. European Soil Data Centre 2.0: Soil data and knowledge in support of the EU policies. European Journal of Soil Science, 73(6), e13315. DOI: 10.1111/ejss.13315
  • Panagos P., Van Liedekerke M., Jones A., Montanarella L., “European Soil Data Centre: Response to European policy support and public data requirements”; (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
  • European Soil Data Centre (ESDAC), esdac.jrc.ec.europa.eu, European Commission, Joint Research Centre