GloREDa

Global Rainfall Erosivity Database (GloREDa) includes point R-factor data from almost 3,939 stations in 65 countries worldwide b) monthly erosivity values and c) Monthly erosivity maps
Resource Type: 
Datasets
Soil Threats Data
Registration is requested: 
Yes
Year: 
2023
Themes: 
Erosion by water
Erosion by water›Global Rainfall Erosivity
Erosion by water›Global Rainfall Erosivity›Future Global Rainfall Erosivity in 2050 and 2070
Erosion by water›Rainfall Erosivity in Europe
Erosion by water›Rainfall Erosivity in Europe›Monthly erosivity
The data collection started in 2013 with the objective to develop a pan-European assessment of soil erosion.  After the successful release of the pan European Rainfall Erosivity database and the derived R-factor map, we extended the data collection to a global scale. The first version of the Global Rainfall Erosivity Database (GloREDa) included data from 3625 stations distributed in 63 countries worldwide. In February 2023, the EU Soil Observatory (EUSO) working group on soil erosion made a call for a contribution towards the extension of GloREDa. In this call for data, contributors from Poland, Slovenia, Uruguay and the Democratic Republic of Congo (DRC) responded with data from 314 new stations. 
 
Finally, the updated GloREDa 1.2 includes measured erosivity (R-factor) data for 3939 stations. In addition, we added the monthly component to GloREDa and we calculated the mean monthly R-factor per station. For 94% (3702 stations) of GloREDa, it was possible to add the monthly R-factor values summarizing 44,424 monthly records.
 
Therefore, the current data release includes a) the annual R-factor for 3939 stations b) monthly erosivity values for 94% of the stations c) the Geographic Information System (GIS) shape file with the location of the GloREDa stations and d) the derived twelve (12) global monthly erosivity maps.

 

Metadata- Description

GloREDa is available as a single repository containing multiple files:

  1. Excel file: Annual R-factor values and Monthly records per station
  2. Shapefile: location of stations
  3. Tiff:  12 maps of monthly erosivity 

Download the metadata file for the description of the fields.

You can also download the Annual R-factor dataset (Geotiff - map at high resolution)

Data collection

Currently, the dataset is covering 65 counties worldwide:
26 countries of the European Union (EU).
39 countries outside the European Union (EU): United Kingdom, Switzerland, Russian Federation (Europe), China, Japan, India, South Korea, Iran, Malaysia, Kuwait, Israel, Turkey (Asia and Middle East), the United States of America, Canada, Mexico (North America), Cuba, Colombia, Argentina, Brazil, Chile, Uruguay, Costa Rica, Jamaica, Suriname (South America & Caribbean), South Africa, Mauritius, Algeria, Democratic Republic of the Congo, Cape Verde, Cameroon, Eritrea, Ethiopia, Kenya, Niger, Nigeria, Rwanda, Tenerife, Zambia (Africa), Australia, New Zealand (Oceania).
Note: More than 100 Institutions provided high temporal rainfall data records (hourly, 30 min, 15 min, 10 min, 5 min).
 

Reference:

Panagos, P., Hengl, T., Wheeler, I., Marcinkowski, P., Rukeza, M.B., Yu, B., Yang, J.E., Miao, C., Chattopadhyay, N., Sadeghi, S.H. and Levi, Y., et al. 2023. Global Rainfall Erosivity database (GloREDa) and monthly R-factor data at 1km spatial resolution. Data in Brief, 50, Art.no.109482. DOI: 10.1016/j.dib.2023.109482

Subscribe to ESDAC Monthly newsletter

By sending these data, you declare that you have read & accept the notification below and that your personal data will be handled by the JRC only for statistical purposes (conform to privacy statement).

For any problem / question / comment on this dataset, please contact ec-esdac@ec.europa.eu

Notification:

  1. The data provided has been prepared for use by internal research activities in the Joint Research Centre (JRC) Ispra in collaboration with the members of the EU Soil Observatory (EUSO) working group on Soil Erosion.
  2. GloREDa database contains a compilation of data contributions from almost 100 institutions (data providers). 
  3. 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.
  4. As the data are original ones calculated based on highest rainfall time resolution (hourly, sub-hourly, 10-min), it is recommended that users who develop products/datasets based on GloREDa to contact the first author.
  5. 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.
  6. 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).

 

Reference of source (Citations) :

Panagos, P., Hengl, T., Wheeler, I., Marcinkowski, P., Rukeza, M.B., Yu, B., Yang, J.E., Miao, C., Chattopadhyay, N., Sadeghi, S.H. and Levi, Y., et al. 2023. Global Rainfall Erosivity database (GloREDa) and monthly R-factor data at 1km spatial resolution. Data in Brief, 50, Art.no.109482. DOI: 10.1016/j.dib.2023.109482

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