Resumen: Soil degradation by water is a serious environmental problem worldwide, with specific climatic factors being the major causes. We investigated the relationships between synoptic atmospheric patterns (i.e. weather types, WTs) and runoff, erosion and sediment yield throughout the Mediterranean basin by analyzing a large database of natural rainfall events at 68 research sites in 9 countries. Principal Component Analysis (PCA) was used to identify spatial relationships of the different WTs including three hydro-sedimentary variables: rainfall, runoff, and sediment yield (SY, used to refer to both soil erosion measured at plot scale and sediment yield registered at catchment scale). The results indicated 4 spatial classes of rainfall and runoff: (a) northern sites dependent on North (N) and North West (NW) flows; (b) eastern sites dependent on E and NE flows; (c) southern sites dependent on S and SE flows; and, finally, (d) western sites dependent on W and SW flows. Conversely, three spatial classes are identified for SY characterized by: (a) N and NE flows in northern sites (b) E flows in eastern sites, and (c) W and SW flows in western sites. Most of the rainfall, runoff and SY occurred during a small number of daily events, and just a few WTs accounted for large percentages of the total. Our results confirm that characterization by WT improves understanding of the general conditions under which runoff and SY occur, and provides useful information for understanding the spatial variability of runoff, and SY throughout the Mediterranean basin. The approach used here could be useful to aid of the design of regional water management and soil conservation measures. Idioma: Inglés DOI: 10.1016/j.jhydrol.2019.01.059 Año: 2019 Publicado en: JOURNAL OF HYDROLOGY 571 (2019), 390-405 ISSN: 0022-1694 Factor impacto JCR: 4.5 (2019) Categ. JCR: ENGINEERING, CIVIL rank: 9 / 134 = 0.067 (2019) - Q1 - T1 Categ. JCR: WATER RESOURCES rank: 6 / 94 = 0.064 (2019) - Q1 - T1 Categ. JCR: GEOSCIENCES, MULTIDISCIPLINARY rank: 15 / 198 = 0.076 (2019) - Q1 - T1 Factor impacto SCIMAGO: 1.684 - Water Science and Technology (Q1)