ACT (Enhanced)ScienceMedium
A climate scientist uses a predictive model to forecast global temperature changes over the next century. The model incorporates various factors like greenhouse gas emissions, solar activity, and volcanic eruptions. After running the model, the scientist observes that the predicted temperature increase is significantly lower than what independent observational data indicates for recent decades. What is the most appropriate next step for the scientist?
- AAdjust the model's output to match the observational data.
- BDiscard the model entirely as it is clearly flawed.
- CConclude that the observational data must be inaccurate.
- DReview and refine the model's assumptions, parameters, or input data.
Show answer & explanationAnswer & explanation
Correct answer: D. Review and refine the model's assumptions, parameters, or input data.
When a model's predictions diverge significantly from real-world observations, it indicates a need for re-evaluation and refinement of the model itself. This includes checking the underlying assumptions, adjusting parameters, or ensuring the input data is accurate and comprehensive.
Why the other options are wrong
- A. Adjusting the output to fit data without understanding why the model was wrong is 'fudging' and invalidates the model.
- B. Discarding the model without attempting to improve it is premature and unscientific.
- C. Dismissing observational data in favor of a flawed model is scientifically unsound.
Model Refinement
The process of modifying and improving a scientific model based on new data, discrepancies with observations, or enhanced understanding.
- An iterative process of scientific investigation.
- Involves re-evaluating assumptions, parameters, and algorithms.
- Aims to increase the model's accuracy, predictive power, and explanatory capability.
Memory trick: Create, test, refine, shine.