![]() Data for additional 134 stations were collected in 2015. The data collection exercise of high temporal resolution data began in March 2013 and was concluded in May 2014. The Rainfall Erosivity Database on European Scale (REDES) of precipitation stations is the result of calculating the R-factor for a total of 26,394 years with a mean value of 17.1 years per station. The Rainfall Erosivity Database on the European Scale (REDES) includes high temporal resolution precipitation data and the claculated R-factor from 1,675 precipitation stations within the European Union (EU) and Switzerland. REDES: Rainfall Erosivity Database on the European Scale Info: Panagos, P., Ballabio, C., Borrelli, P., Meusburger, K., Klik, A., Rousseva, S., Tadic, M.P., Michaelides, S., Hrabalíková, M., Olsen, P., Aalto, J., Lakatos, M., Rymszewicz, A., Dumitrescu, A., Begueria, S., Alewell, C. The erosivity density (erosivity normalised to annual precipitation amounts) was also highest in Mediterranean regions which implies high risk for erosive events and floods. The mean R-factor for the EU plus Switzerland is 722 MJ mm ha -1 h -1 yr -1, with the highest values (>1,000 MJ mm ha -1 h -1 yr -1) in the Mediterranean and alpine regions and the lowest (Less than 500 MJ mm ha -1 h -1 yr -1) in the Nordic countries. The covariates used for the R-factor interpolation were climatic data (total precipitation, seasonal precipitation, precipitation of driest/wettest months, average temperature), elevation and latitude/longitude. Gaussian Process Regression(GPR) has been used to interpolate the R-factor station values to a European rainfall erosivity map at 1 km resolution. The average time series per precipitation station is around 17.1 years, the most datasets including the first decade of the 21st century. Precipitation time series ranged from a minimum of 5 years to maximum of 40 years. The R-factor values calculated from precipitation data of different temporal resolutions were normalised to R-factor values with temporal resolutions of 30 minutes using linear regression functions. We used the Rainfall Erosivity Database on the European Scale(REDES) which contains 1,675 precipitation stations in all European Union(EU) Member States and Switzerland, with temporal resolutions of 5 to 60 minutes. The purpose of this study is to assess rainfall erosivity in Europe in the form of the RUSLE R-factor, based on the best available datasets in Europe. Users can downloads Raw data, Baseline map (2010), Monthly erosivity, Future projections (2050), Past erosivity (1961-2000) R-factor in Europe Temporal coverage: 40 years - Predominant in the last decade: 2000 - 2010 Projection: ETRS89 Lambert Azimuthal Equal Area Spatial coverage: European Union (28 Countries) & Switzerland R-factor detailed assessments for Greece and Switzerland are available (see below).įuture projections (2050) of R-factor are available (see below). ![]() Monthly R-factor maps are also available (see below) REDES is provided as a point database including R-factor for each of the 1,675 stations (see below). Gaussian Process Regression(GPR) model was used to interpolate the rainfall erosivity values of single stations and to generate the R-factor map. South Africa-EU Dialogue on soil informationĭescription: This map provides a complete rainfall erosivity dataset for European Union (28 member States) and Switzerland based on REDES database with high temporal resolution rainfall measurements of 26,394 years.Plutonium and Cesium inventories in European topsoils.International Day for Biological Diversity.Wind erosion in European agricultural soils - RWEQ.Slope Length and Steepness factor (LS-factor).R-factor and Erosivity Density in Greece.Monthly R-factor and Conversion factors for different time resolutions.Future rainfall erosivity (projections for 2050 based on climate change).Global assessment of storm disaster-prone areas.Global Soil Erosion – Future projections.Erosion in Europe - Projections by 2050.European Soil Database & soil properties.
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