A weather model predicts the probability of rain based on atmospheric conditions. Which process explains why the model's variance in predicted rainfall is consistently higher during hurricane season?

💡 Explanation

The model's variance increases due to heightened parameter sensitivity during hurricane season, because small changes in input variables like temperature or humidity can lead to large differences in predicted rainfall. Therefore, prediction errors are amplified, rather than being reduced by enhanced data or dampened by wind shear.

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