4 ms·
So isn’t it just a problem of measurement then? Say you had a massive array of billions of perfect sensors in different locations, and had all the computing po
by brap 3y ago
So isn’t it just a problem of measurement then?
Say you had a massive array of billions of perfect sensors in different locations, and had all the computing power to process this data, would an N year daily forecast then be a solved problem?
For the sake of the argument I’m ignoring ”external” factors that could affect the weather (e.g meteors hitting earth, changes in man-made pollution, etc)
- counters 3y agoAt that point you're slipping into Laplace's Demon. In practical terms, we see predictability horizons get _shorter_ when we increase observation density and spatial resolution of our models, because more, small errors from slightly imperfect observations and models still cascade to larger scales.