Totally wrong. You cannot generalize such a statement because it depends on the micro and macro weather conditions. A very stable situation makes it very easy to forecast one week and beyond. On the other hand, there can be situations where you cannot accurately predict the next 12 hours (e.g. cold air pool).
> Totally wrong. You cannot generalize such a statement because it depends on the micro and macro weather conditions. A very stable situation makes it very easy to forecast one week and beyond. On the other hand, there can be situations where you cannot accurately predict the next 12 hours (e.g. cold air pool).
And that is exactly where these AI models will break down. They will "shine" (or fool us) with how well they predict the stable situations, and will produce utter rubbish when the high, turbulent and dynamic weather fronts make prediction difficult.
But of course, if your weather is "stable" 80% of the time, you can use those shiny examples to sell your tool, and count on user forgetfulness to get away with the 20% of nonsense predicted the rest of the time.
Totally wrong. You cannot generalize such a statement because it depends on the micro and macro weather conditions. A very stable situation makes it very easy to forecast one week and beyond. On the other hand, there can be situations where you cannot accurately predict the next 12 hours (e.g. cold air pool).