The overarching goal of this thesis is to develop methods and models to create better insights in urban weather and climate. The approaches are diverse, ranging from data assimilation of crowdsourced urban weather observations to adjust a complex numerical weather prediction model for the urban environment, to a more scalable practical application of statistical urban morphological and meteorological relations in detailed urban heat maps. The specific goals are twofold: First, to offer a realistic representation of the weather for different urban districts and their near surroundings, for both the current and the future climate. Second, to understand the involved physical processes and to interpret the remaining uncertainties in modelling urban weather and climate.