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.

• What causes variations in the thermal conductivity of a crystalline solid when comparing different crystallographic directions?
• Why does gas leakage from a high-pressure tank initially exhibit turbulent flow when the tank is suddenly punctured?
• If an optical fiber within a fiber optic gyroscope experiences microbending due to manufacturing imperfections, which consequence follows?
• If heat capacity increases linearly with temperature, what adjustment accounts for this in determining enthalpy change using Kirchhoff's Law?
• An alternating current (AC) signal with significant harmonic content passes through a poorly shielded inductor. Which effect dominates on the inductor's core due to non-sinusoidal current?
• Why does the scale model of a cargo ship accurately predict its real-world drag?