Beyond Resolution: Multi-Scale Weather and Climate Data for Alpine Renewable Energy in the Digital Twin Era -- First Evaluations and Recommendations

When Austrian hydropower produc null on plummeted by 44% in early 2025 due to reduced snowpack, it exposed a cri null cal vulnerability: standard meteorological and climatological datasets systema null cally fail in mountain region s that hold untapped renewable poten null al. This perspec null ves paper evaluates emerging solu null ons to the Alpine energy -climate data gap, analyzing datasets from global reanalyses (ERA5, 31 km) to kilometre-scale Digital Twins (Climate DT, Extremes DT, 4.4 km), regional reanalyses (ARA, 2.5 km), and next-genera null on AI weather predic null on models (AIFS, 31 km). The mul null - resolu null on assessment reveals that no single dataset excels universally: coarse reanalyses provide essen null al climatologies but miss valley-scale processes, while Digital Twins resolve Alpine dynamics yet remain computa null onally demanding. Effec null ve energy planning therefore requires strategic dataset combina null ons validated against energy -relevant indices such as popula null on -weighted extremes, wind-gust return periods, and Alpine-adjusted storm thresholds. A key fron null er is sub -hourly (10-15 min) temporal resolu null on to match grid - opera null on needs. Six evidence - based recommenda null ons outline pathways f or bridging spa null al and temporal scales. As renewable deployment expands globally into complex terrain, the Alpine region offers transferable perspec null ves for tackling iden null cal forecas null ng and climate analysis challenges in mountainous regions worldwide.