The Mediterranean area has a complex geography covering several climate zones. Currently the interactions and processes of the hydrological cycle in the area are in the focus of many scientific studies due to the increase in extreme weather events and climate change impact. The ever-increasing need for water in tourism and agriculture reinforces the problem in areas of drought. Therefore, monitoring and better understanding of the hydrological cycle are crucial in order to create better long-term forecasts for this area. The variabilities in climate that follow distinct repeating spatio-temporal patterns known as climate modes, are one of the major drivers for the hydrological cycle. Therefore, this study seeks to quantify the relationship between regional climate modes and the hydrological cycle in the study area. Empirical Orthogonal Functions (EOF), and variations of them, are applied to a wide range of hydrological datasets to extract the major variation over the study period. More than ten datasets, describing precipitation, soil moisture, and evapotranspiration, have been analysed to give further support and enrich findings of earlier studies. The time span of the datasets varies and lies within 1980 - 2015. The resulting EOFs are then correlated with regional climate modes using Spearman Rank correlation analysis. This is done for the entire time span of the EOFs by monthly and seasonal means. There is evidence for relationships between hydrological phenomenon and the climate modes North Atlantic Oscillation (NAO), Arctic Oscillation (AO), Eastern Atlantic (EA), and Tropical Northern Atlantic (TNA). By analysing by seasonal and monthly means, especially high correlation in the winter months are found. However, the results strongly depend on the study area extent. The findings suggest an impact of regional climate modes on the hydrological cycle in the Mediterranean area.