Warsaw University of Life Sciences, Warsaw, Poland
Montfort Bagalwa Rukeza
Observatoire Volcanologique de Goma, DR Congo; Earth and Life Institute, UCLouvain, Belgium
Bofu Yu
School of Engineering and Built Environment, Griffith University, Nathan, Australia
Jae E. Yang
Kangwon National University, Chuncheon-si, Gangwon-do, South Korea
Chiyuan Miao
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Nabansu Chattopadhyay
World Bank, Washington, DC 20433, USA
Seyed Hamidreza Sadeghi
Faculty of Natural Resources, Tarbiat Modares University (TMU), Mazandaran Province, Iran
Yoav Levi
Israel Meteorological Service, Bet Dagan, Israel
Gunay Erpul
Faculty of Agriculture - Soil Science Departement, Ankara University, Ankara, Turkey
Christian Birkel
University of Costa Rica, San Jose, Costa Rica
Natalia Hoyos
Universidad del Norte, Barranquilla, Colombia
Paulo Tarso S. Oliveira
Federal University of Mato Grosso do Sul, Campo Grande, Brazil
Carlos A. Bonilla
Hermiston Agricultural Research and Extension Center, Oregon State University, Hermiston, OR, USA
Werner Nel
Department of Geography and Environmental Science, University of Fort Hare, Alice, South Africa
Hassan Al Dashti
Department of Meteorology - Directorate General of Civil Aviation, State of Kuwait
Nejc Bezak
University of Ljubljana, Faculty of Civil and Geodetic Engineering, Ljubljana, Slovenia
Kristof Van Oost
Earth and Life Institute, UCLouvain, Belgium
Sašo Petan
Slovenian Environment Agency, Meteorology, Hydrology and Oceanography Office, Ljubljana, Slovenia
Ayele Almaw Fenta
Department of Land Resources Management and Environmental Protection, Mekelle University, PO Box 231, Mekelle, Ethiopia; International Platform for Dryland Research and Education, Tottori University, Tottori, 680-0001, Japan
Nigussie Haregeweyn
International Platform for Dryland Research and Education, Tottori University, Tottori, 680-0001, Japan
Mario Pérez-Bidegain
Universidad de la República, Facultad de Agronomía, Montevideo CP 12900, Uruguay
Leonidas Liakos
UNISYSTEMS, Rue du Puits Romain 29 - Bertrange L-8070, Luxembourg
Cristiano Ballabio
European Commission, Joint Research Centre (JRC), Ispra, 21027, Italy
Pasquale Borrelli
Department of Science, Roma Tre University, Rome, Italy; Department of Environmental Sciences, Environmental Geosciences, University of Basel, Basel, Switzerland
Here, we present and release the Global Rainfall Erosivity Database (GloREDa), a multi-source platform containing rainfall erosivity values for almost 4000 stations globally. The database was compiled through a global collaboration between a network of researchers, meteorological services and environmental organisations from 65 countries. GloREDa is the first open access database of rainfall erosivity (R-factor) based on hourly and sub-hourly rainfall records at a global scale. This database is now stored and accessible for download in the long-term European Soil Data Centre (ESDAC) repository of the European Commission's Joint Research Centre. This will ensure the further development of the database with insertions of new records, maintenance of the data and provision of a helpdesk.In addition to the annual erosivity data, this release also includes the mean monthly erosivity data for 94% of the GloREDa stations. Based on these mean monthly R-factor values, we predict the global monthly erosivity datasets at 1 km resolution using the ensemble machine learning approach (ML) as implemented in the mlr package for R. The produced monthly raster data (GeoTIFF format) may be useful for soil erosion prediction modelling, sediment distribution analysis, climate change predictions, flood, and natural disaster assessments and can be valuable inputs for Land and Earth Systems modelling.
