Small-scale processes that improve climate prediction
Clouds and the realistic modelling of their feedbacks remain a great challenge in predicting the climate. A key small-scale process that requires parameterisation is the turbulent mixing of cloudy and cloud-free air, which is called entrainment. The EU-funded STEP project aims to advance understanding of this mixing process at the cloud edges. By performing controlled laboratory measurements, it will help identify the main physical parameters that govern the amount of air entrained into and detrained from clouds. Researchers will combine experimental data from a turbulent cloud chamber, computational fluid dynamics and large-eddy simulations to accurately determine the entrainment process. Project results will pave the way for developing improved climate models.