Primary tabs

Temporary Dataset Download: Global Rainfall Erosivity

Dataset Access Expires on

21-October-2021

Notifications

  1. The data provided has been prepared for use by internal research activities in the Joint Research Centre (JRC) Ispra. The data have been produced in 2013-2017 in collaboation between European Commission (Joint Research Centre), University of Basel and Meteorological and Environmental Institutions from 63 countries all over the World.
  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).

 

Global R-factor

The new global erosivity map is a critical input to global and continental assessments of soil erosion by water, flood risk and natural hazard prevention. Current global estimates of soil erosion by water are very uncertain, ranging over one order of magnitude (from around 20 to over 200 Pg per year). More accurate global predictions of rill and interrill soil erosion rates can only be achieved when the rainfall erosivity factor is thoroughly computed. The global erosivity map is publicly available and can be used by other research groups to perform national, continental and global soil erosion modelling.

Title: Rainfall Erosivity in the World
Description: This map provides a complete rainfall erosivity dataset for the whole World based on 3,625 precipitation stations and around 60,000 years of rainfall records at high temporal resolution (1 to 60 minutes). Gaussian Process Regression(GPR) model was used to interpolate the rainfall erosivity values of single stations and to generate the R-factor map.
Spatial coverage: World
Pixel size: 30 arc-seconds (~1 km at the Equator).
Measurement Unit: MJ mm ha-1 h-1 yr-1
Projection: ETRS89 Lambert Azimuthal Equal Area
Temporal coverage: 30-40 years - Predominant in the last decade: 2000 - 2010

References:

A complete description of the methodology and the application in World is described in the paper:
Panagos P., Borrelli P., Meusburger K., Yu B., Klik A., Lim K.J., Yang J.E, Ni J., Miao C., Chattopadhyay N., Sadeghi S.H., Hazbavi Z., Zabihi M., Larionov G.A., Krasnov S.F., Garobets A., Levi Y., Erpul G., Birkel C., Hoyos N., Naipal V., Oliveira P.T.S., Bonilla C.A., Meddi M., Nel W., Dashti H., Boni M., Diodato N., Van Oost K., Nearing M.A., Ballabio C., 2017. Global rainfall erosivity assessment based on high-temporal resolution rainfall records.  Scientific Reports 7: 4175. DOI: 10.1038/s41598-017-04282-8.

Data

Global Rainfall Erosivity (850 MB)

 

Panagos P., Borrelli P., Meusburger K., Yu B., Klik A., Lim K.J., Yang J.E, Ni J., Miao C., Chattopadhyay N., Sadeghi S.H., Hazbavi Z., Zabihi M., Larionov G.A., Krasnov S.F., Garobets A., Levi Y., Erpul G., Birkel C., Hoyos N., Naipal V., Oliveira P.T.S., Bonilla C.A., Meddi M., Nel W., Dashti H., Boni M., Diodato N., Van Oost K., Nearing M.A., Ballabio C., 2017. Global rainfall erosivity assessment based on high-temporal resolution rainfall records.  Scientific Reports 7: 4175. DOI: 10.1038/s41598-017-04282-8.

Joint Research Centre - European Soil Data Centre (ESDAC)
ID 47715
Date - Time Thu, 10/07/2021 - 14:09
Name of User Bianca Bendito
Organization Universidade de Brasilia UnB
Type of Organization University
-- Other
E-mail biancapcb.engamb@gmail.com
Purpose the data used in my doctoral thesis
Notes

When making reference to the ESDAC

  • 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