I gained my first research experience in climate modeling during my studies at ETH Zurich. Two internships at MeteoSwiss and Meteomedia further provided me with insight into the public and private weather services. My fascination for large-scale atmospheric dynamics was particularly fostered during my PhD, which I received from ETH Zurich in 2017, with the title “Potential vorticity diagnostics to quantify effects of latent heating in extratropical cyclones: methodology and application to idealized climate change simulations”. In this project, we drew upon the well-established concept of potential vorticity modification through cloud-condensational processes to study the role of latent heating for extratropical cyclones in future, warmer and moister, climates. After a short PostDoc project at ETH Zurich on month-ahead predictability of European wind power generation, I continue my work at the interface between weather and climate modeling within the SPREADOUT group here at KIT. My research focus in this project is to analyze the representation and predictability of weather regimes in operational (re)forecasts from the S2S prediction project database and to understand their sensitivity to different environmental conditions through sensitivity experiments with state-of-the-art global NWP models. Since the energy industry is one important end user of (sub)seasonal weather forecasts, I further use the findings of my research to understand and improve the skill of predicting energy-relevant surface weather parameters such as wind, temperature, or precipitation on these timescales.