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Panagos P, Hengl T, Wheeler I, Marcinkowski P, Rukeza MB, Yu B, Yang JE, Miao C, Chattopadhyay N, Sadeghi SH, Levi Y, Erpul G, Birkel C, Hoyos N, Oliveira PTS, Bonilla CA, Nel W, Al Dashti H, Bezak N, Van Oost K, Petan S, Fenta AA, Haregeweyn N, Pérez-Bidegain M, Liakos L, Ballabio C, Borrelli P. Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution. Data Brief 2023; 50:109482. [PMID: 37636128 PMCID: PMC10448267 DOI: 10.1016/j.dib.2023.109482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/14/2023] [Accepted: 08/02/2023] [Indexed: 08/29/2023] Open
Abstract
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.
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Affiliation(s)
- Panos Panagos
- European Commission, Joint Research Centre (JRC), Ispra, 21027, Italy
| | | | | | | | | | - 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
| | | | | | - Yoav Levi
- Israel Meteorological Service, Bet Dagan, Israel
| | - Gunay Erpul
- Faculty of Agriculture - Soil Science Departement, Ankara University, Ankara, Turkey
| | | | | | | | - 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
| | | | - 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
| | | | - Pasquale Borrelli
- Department of Science, Roma Tre University, Rome, Italy
- Department of Environmental Sciences, Environmental Geosciences, University of Basel, Basel, Switzerland
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