GloRESatE - Global Rainfall Erosivity from Reanalysis and Satellite Estimates

This dataset contains merged global rainfall erosivity product at 0.1° × 0.1° spatial resolution. The dataset is an integrated product of satellite (CMORPH, IMERG Final Run) and reanalysis (ERA5-Land) estimates with gauge rainfall erosivity datasets 6,170 gauge stations across the globe. The dataset has been given in the name of “GloRESatE”.
Resource Type: 
Datasets
Soil Threats Data
Registration is requested: 
No
Year: 
2024
Themes: 
Erosion by water
Erosion by water›Global Rainfall Erosivity
Keywords: 
erosivity

Description

Rainfall erosivity measures the impact of rainfall kinetic energy and intensity or its potential to cause soil erosion. The sparsely available gauge rainfall dataset limits reliable rainfall erosivity assessment globally. GloRESatE is a state-of-the-art global rainfall erosivity dataset with a high spatial resolution of 0.1° × 0.1°. It integrates satellite data (CMORPH, IMERG Final Run), reanalysis data (ERA5-Land), and observations from 6,170 gauge stations worldwide. Created using advanced Gaussian Process Regression, this dataset provides accurate and reliable rainfall erosivity information. It serves as a vital resource for hydrological research, aiding studies in soil erosion, water resource management, and climate change impact assessments on a global scale.

Title: GloRESatE - Global Rainfall Erosivity from Reanalysis and Satellite Estimates
Description:contains global rainfall erosivity data estimated from the CMORPH dataset. IMERG, ERA5.
Spatial coverage: Global
Type: GeoTiff   Units: Estimated rainfall erosivity is the MJ.mm.ha-1.h-1.year-1
Temporal coverage:  1998-2021
 

Reference: Das, S., Jain, M.K., Gupta, V., McGehee, R.P., Yin, S., de Mello, C.R., Azari, M., Borrelli, P. and Panagos, P., 2024. GloRESatE: A dataset for global rainfall erosivity derived from multi-source data. Scientific Data, 11:926.

 

Dataset Name: Global Rainfall Erosivity from Reanalysis and Satellite Estimates (GloRESatE)

CMORPH.zip: Contains global rainfall erosivity data estimated from the CMORPH dataset spanning from 1998 to 2021 with a spatial resolution of 8km × 8km. Each file is named “CMORPH _yyyy.tif”, where “yyyy” represents the year. Each “.tif” file contains 13 bands, with “Band 1” to “Band 12” containing the monthly rainfall erosivity from January to December and “Band 13” containing the annual rainfall erosivity for that year.


“IMERGFinalRun.zip”: Contains global rainfall erosivity data estimated from the IMERG Final Run dataset spanning from 2001 to 2020 with a spatial resolution of 0.1° × 0.1°. Each file is named “IMERGFinalRun_yyyy.tif”, where “yyyy” represents the year. The Band structure of each “.tif” file is similar to “CMORPH_yyyy.tif” files.

ERA5Land.zip: Contains global rainfall erosivity data estimated from the ERA5 Land dataset spanning from 2001 to 2021 with a spatial resolution of 0.1° × 0.1°. Each file is named “ERA5Land_yyyy.tif”, where “yyyy” represents the year. The Band structure of each “.tif” file is similar to “CMORPH_yyyy.tif “file.

EstimatedMean.zip: Contains the temporal mean annual rainfall erosivity of all six gridded satellites and the reanalysis dataset. Each file is named “xxxx_mean_yyyy_zzzz.tif”, where “xxxx” is the name of the satellite or reanalysis dataset, “yyyy” is the start year and “zzzz” is the end year of the mean.

GloRESatE.zip: Contains the merged global mean annual rainfall erosivity product with a spatial resolution of 0.1° × 0.1°, file named “GloRESatE.tif” and associated uncertainty file named “Uncertainty.tif”.

Rainfall Erosivity Data-GloRESatE.csv: Contains the mean annual rainfall erosivity values of observed stations collected (more than 6,100 stations) from different sources.


Reference: Das, S., Jain, M.K., Gupta, V., McGehee, R.P., Yin, S., de Mello, C.R., Azari, M., Borrelli, P. and Panagos, P., 2024. GloRESatE: A dataset for global rainfall erosivity derived from multi-source data. Scientific Data, 11:926.

 

The authors acknowledge the following agencies and authors for providing datasets.
Agencies: NASA and JAXA for providing GPM (IMERG) datasets
ECMWF for providing ERA5-Land
NOAA for providing bias-corrected CMORPH datasets
European Soil Data Centre (ESDAC) for providing Global Rainfall Erosivity Database (GloREDa v 1.2)
India Meteorological Department (IMD) for providing high-resolution hourly gauge station rainfall datasets of India.

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

Notification:

  • The data provided has been prepared for use by internal research activities in the Joint Research Centre (JRC) Ispra in collaboration with Roma Tre University, Indian Institute of Technology and other members of the EUSO Working Group on Soil Erosion. 
  • 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.
  • 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.
  • The user agrees to:
       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates;
       b) 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) :

Das, S., Jain, M.K., Gupta, V., McGehee, R.P., Yin, S., de Mello, C.R., Azari, M., Borrelli, P. and Panagos, P., 2024. GloRESatE: A dataset for global rainfall erosivity derived from multi-source data. Scientific Data, 11:926.

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