This project aims to quantify the atmospheric moisture exchange and hydrological connections between global highland and lowland regions using large-scale atmospheric moisture tracking. By employing moisture tracking models such as WAM-2Layers and UTrack, driven by reanalysis datasets, we will trace the origin of precipitation and the fate of evaporation from both highland and lowland regions at the global scale. The computational workflow involves processing global gridded datasets at 0.5° spatial resolution over multi-year periods. The analysis will first identify global patterns of moisture exchange between highland and lowland regions. Subsequently, selected river basins with strong highland–lowland water exchange will be further analysed to quantify the contribution of highland and lowland evaporation to basin-scale precipitation, and to investigate feedback mechanisms between atmospheric moisture transport and terrestrial hydrological processes. Moisture tracking simulations will be conducted over multiple years and under multiple configurations, including different highland definitions and sensitivity experiments. These simulations require substantial computational resources due to the high dimensionality of spatiotemporal data, the need to resolve moisture transport pathways across the globe, and the requirement to perform multiple simulation runs for uncertainty analysis. This project is mainly supervised by Principal Researcher Lan Wang-Erlandsson at the Stockholm Resilience Centre, Stockholm University, and co-supervised by Lucie Bakels, Postdoctoral Researcher at the Stockholm Resilience Centre, Stockholm University.