User Story: Mapping thermal buffering capacity of European forests
![Sensor in forest sGlobe](/sites/www.enccb.be/files/2024-07/sensor_small.jpg)
Looking to cool off during a scorching heatwave 🥵? Head to the forest 🌳—it's not just beautiful, it's also cooler thanks to thermal buffering. But did you know traditional weather stations often miss these cooler spots? They typically generate macroclimate data and miss out on what is really important for many species living close to the ground (the microclimate). The research lab sGlobe (KULeuven) aims to unravel the drivers and impact of microclimate conditions. sGlobe combines big data with state-of-the-art modelling techniques like machine learning and species distribution models to study the effects of climate change on forest life. Dive into this user story and discover how supercomputing powers this vital research.