Question

name at least two limitations of using models in science.

Explanation:

1. Simplification: Models often simplify complex real - world systems. For example, a physical model of an atom might not account for all the quantum mechanical effects that occur in a real atom. This simplification can lead to a loss of some details that are important in certain situations.
2. Assumptions: Models are based on assumptions. In a climate model, assumptions are made about factors like cloud cover, greenhouse gas emissions, and ocean currents. If these assumptions are incorrect, the model's predictions will be inaccurate. Also, models may not be able to account for unexpected or emergent phenomena that arise in the real system over time.

Answer:

1. Simplification: Models simplify real - world systems, losing some details. For example, an atomic model may not account for all quantum effects.
2. Assumptions: Models rely on assumptions. If assumptions (e.g., in climate models about cloud cover) are wrong, predictions are inaccurate, and they may miss emergent phenomena.