How does resolution factor into computational models?

The video tutorial discusses the importance of resolution in computational simulations. It uses examples like dots per inch for image clarity, tsunami simulations, and weather predictions to illustrate how varying levels of detail are necessary for accurate representation. The need for more data points is emphasized when dealing with complex or rapidly changing phenomena.

Explain the relationship between the scale of a phenomenon and the resolution needed to capture it accurately.

What happens if there is only one grid point for a large area in weather prediction?