High-resolution simulations such as the ICOsahedral Non-hydrostatic Large-Eddy Model (ICON-LEM) can be used to study the interactions between aerosols, clouds, and precipitation processes that currently represent the largest source of uncertainty involved in climate change projections. However, due to significant computational costs, it can only be employed for a limited period and area. While machine learning mitigates this, model uncertainties may affect reliability. To address this, we develo…