To investigate power systems with large share of renewables, it is important to understand the underlying weather-dependent feed-in patterns with high accuracy. In this report we describe how a highly resolved long-term weather data set was produced and used to calculate feed-in from di↵erent renewable sources like wind, photovoltaics and hydro within the framework of the RESTORE 2050 project. In particular, this report will provide an overview of the data sources, various assumptions that are made during the simulations and will present an elaborate description of the adopted methodology along with result evaluations. The RESTORE 2050 project investigates the needs for cross-country grid extensions, usage of storage technologies and capacities, wind and so- lar balancing potential and the conceptual design of the future European power systems. Since major renewable sources like wind and solar have strongly weather-dependent fluc- tuating feed-in profiles, a proper understanding of the balancing potential between their feed-in and the power demand is essential for their grid integration.