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Clarity from Chaos: How Climate Models Could Be Better than We Think
Since Lorenz’s research took the field by storm, climate scientists have found the need to relinquish the traditional scientific love of causality. It is for this reason that meteorologists often refer to weather predictions in terms of probabilities, which acknowledges this uncertainty in initial conditions. However, when climate scientists want to investigate seasonal or even longer climate projections, the resulting chaos makes it extremely difficult to generate high-quality predictions. However, this study does provide intriguing evidence that climate and weather patterns could be a lot more predictable than we thought. This early investigation argued that in the long-term, weather patterns are highly susceptible to the smallest of perturbations.
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