@idefix37 Got it, that makes sense.

So, in other words, this feature talks about which model best 'understands' the current temperature and says nothing about which provides the best forecast. Is this correct?

Because in my example above, the day before, several other models were better at predicting the weather than MB even if MB was then better at incorporating actual conditions.

Would it make sense to incorporate a feature that compares model forecasts 1, 2, or 3 days out? In my opinion, that's much more interesting information.

Hi there,

I really appreciate the "Compare Weather Models" feature for premium users—it's a fantastic tool. However, I've noticed something odd. In the U.S., for almost all locations I select, meteoblue (MB) is shown as the most accurate model. While I understand it has a good reputation, I find it hard to believe that it's the most accurate everywhere. This is one such spot where the difference between the MB and ICON and NAM is (supposedly) quite large:

To investigate, I took a screenshot of the next day forecasts from different models for a specific spot. For 3 p.m. the next day, MB predicted 64°F.

Then, on that day, I checked the same spot, and the weather station measured 69°F. Interestingly, Windy now shows that MB also predicted 69°F.

I understand that weather models update their data, but if a model adjusts to match the actual temperature after the fact, what's the point if the previous day's forecast was off by 5°F?

This makes me skeptical of the claim that "MB is the most reliable model at your location." What exactly is the calculation behind 'most accurate'? Has anyone else experienced something similar or have any idea what's going on?