El Nino Southern Oscillation (ENSO) is recognized as an influential climate pattern on meteorological variables such as global solar radiation (H), wind speed (V) and precipitation (P). California as one of the leading States in increasing renewable energy utilization, having established a Renewables Portfolios to meet its electricity demand from renewable energy resources. In this study, long-term 50 years datasets (1961-2010) of eight locations representing different climate conditions of California are utilized. The main objective of this work is to investigate the sensitivity of H, V and P and their variation to El Nino events (very strong and strong El Nino) and La Nina events (strong and moderate La Nino) in different regions of California. The results showed distinct impacts of El Nino and La Nina events on the magnitude and distribution of the studied meteorological variables. The impact of ENSO events on these variables are found to be geographically and seasonally dependent. Furthermore, the degree to which the variables link to ENSO depends on intensity of the events. Overall, the results suggest that ENSO is a potentially useful prognostic tool for California solar and wind energy and hydropower planning for upcoming events. (C) 2017 Elsevier Ltd. All rights reserved.