Rainfall Erosivity from EMO

Input files to accompany the github directory: https://github.com/matfran/Rainfall_erosivity_from_EMO.gitThe accompanying data to run the workflow includes extractions of the 6-hourly rainfall at all stations within the REDES database. All station locations are listed here and can be downloaded via the ESDAC link: https://esdac.jrc.ec.europa.eu/content/rainfall-erosivity-european-union-and-switzerland<br>Manuscript:Panagos, P., Ballabio, C., Borrelli, P., Meusburger, K., Klik, A., Rousseva, S., Tadić, M. P., Michaelides, S., Hrabalíková, M., Olsen, P., Aalto, J., Lakatos, M., Rymszewicz, A., Dumitrescu, A., Beguería, S., &amp; Alewell, C. (2015). Rainfall erosivity in Europe. <i>Science of the Total Environment</i>, <i>511</i>, 801–814. https://doi.org/10.1016/j.scitotenv.2015.01.008<br>EMO manuscript:Thiemig, V., Gomes, G. N., Skøien, J. O., Ziese, M., Rauthe-Schöch, A., Rustemeier, E., Rehfeldt, K., Walawender, J. P., Kolbe, C., Pichon, D., Schweim, C., &amp; Salamon, P. (2022). EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe. <i>Earth System Science Data</i>, <i>14</i>(7), 3249–3272. https://doi.org/10.5194/ESSD-14-3249-2022