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Uncertainty in climate models arises from four primary factors: variability in future emissions and land-use changes (inputs), potential inaccuracies in indirect measurements (proxy data), the difficulty of predicting natural events like volcanic eruptions or solar activity (natural variability), and the complexity of modeling processes like ice-albedo or permafrost thawing (feedback loops).

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