New theoretical framework unlocks mysteries of synchronization in turbulent dynamics

Researchers have developed a new mathematical framework that can shed light on small-scale turbulent flow to better understand the turbulence phenomena.

Data Assimilation (DA) is an important mathematical method for predicting turbulent flows for weather forecasting.

However, the origins of the critical length scale, a crucial parameter in this method, and its dependence on the Reynolds number are not well understood. More