ISO-SCALE

Stable Isotope and AI supported model development for high frequency, cross scale water partitioning

ISO-SCALE aims to achieve a novel integrated, cross-compartmental and cross-scale understanding of the partitioning of incoming precipitation in agricultural systems. You will investigate temporal dynamics and spatial variability in ecosystem evapotranspiration, soil evaporation, plant transpiration, soil water distribution and root water uptake in agricultural systems. We will integrate high resolution stable water isotope data, Machine Learning approaches and tracer-aided, process-based ecohydrological modelling.