Yes, the “Observation vs forecast” feature allows you to highlight the possible bias (systematic error) of a model at a location for a parameter.
For example, take a location in a valley surrounded by mountains. A model with a coarse grid (low resolution) will “see” this location at a higher altitude than reality and the temperatures will systematically be predicted to be colder. As this example.
We can assume that the forecast for the coming days will be affected by the same error - except in the case of a temperature inversion phenomenon... weather forecasting is not simple :) -
Indeed Windy could imagine an even more sophisticated tool to evaluate a model at a given location. But I fear that this will interest only a few users. I have seen very few users on the forum who knew about the "Observation vs. Forecast" tool.
T