Statistical‐dynamical downscaling is one method to model urban climate using global and regional climate model (GCM and RCM) results. In this study, different strategies for statistical‐dynamical downscaling are derived and evaluated. For the statistical part of downscaling, a Bivariate Skill Score is developed to quantify the overlap of the joint probability densities of two meteorological variables, which helps to quantify w...

Urban areas have well‐documented effects on climate, such as the urban heat island (UHI) effect, reduction of wind speeds, enhanced turbulence and boundary layer heights, and changes in cloud cover and precipitation. The aim of this study is to quantify the impact of the urban area of London on local and regional climate. This is achieved through the coupling of the non‐hydrostatic mesoscale model METRAS with the sophisticated...