Machine learning prediction of precipitations stable isotopes

Stable isotopes of hydrogen and oxygen are important natural tracers with a wide variety of environmental applications (e.g., the exploration of the water cycle, ecology and food authenticity). The spatially explicit predictions of their variations are obtained through various interpolation techniques.

The aim of the project is to explore the stable isotopic variability of precipitation across the European continent with the use of various machine learning algorithms.