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New theoretical framework unlocks mysteries of synchronization in turbulent dynamics

Knowledge Assimilation (DA) is a vital mathematical methodology for predicting turbulent flows for climate forecasting. Nevertheless, the origins of the vital size scale, a vital parameter on this methodology, and its dependence on the Reynolds quantity should not properly understood. Now, researchers have developed a novel theoretical framework that treats DA as a stability drawback to clarify this parameter. This framework can contribute considerably to turbulence analysis and encourage novel data-driven strategies to foretell turbulence.