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A network of well-calibrated surface and marine weather stations and atmospheric probes is probably enough to produce reliable and precise weather forecasts in
by qwerty456127 8y ago
A network of well-calibrated surface and marine weather stations and atmospheric probes is probably enough to produce reliable and precise weather forecasts in the today age of ML.
- deleted 8y ago[deleted]
- plopz 8y agoPanasonic was developing a weather model incorporating data from airplanes that was supposed to be really good. But I think most models are based on physics rather than ML.
- wyldfire 8y agoYou can't calibrate away the RF noise introduced by transmitters that change frequently in time and space. That's not to suggest that you cannot find a way to discriminate between the water vapor and the 5G transmissions, but you can't just take a sample on a low-humidity day and subtract that from new samples. If the metrics are below the new noise floor, merely throwing machine learning at the problem will not solve it.
- qwerty456127 8y agoI don't mean taking RF data in account at all. I mean just collecting temperature, air pressure, humidity and wind speed data from many points in time-space.