Thanks for your offer. Unfortunately I cannot improve the weather forecast quality with a single station.
National weather services collect all kinds of measurements and observations from weather stations, air planes, balloons, satellites and radar to "assimilate" the global state of the atmosphere. Usually this is full of gaps, because only a fraction of the world is covered by measurement stations.
Once hour 0 is assimilated weather models start to calculate how different processes like solar radiation, clouds and winds change this state.
As Open-Meteo only uses the end-product of this chain, personal weather stations cannot be included anymore.
If you want, you could try to use machine learning and Open-Meteo weather forecasts to build your own tailored forecasts. Hopefully this idea will be picked up by someone with instructions on GitHub.
National weather services collect all kinds of measurements and observations from weather stations, air planes, balloons, satellites and radar to "assimilate" the global state of the atmosphere. Usually this is full of gaps, because only a fraction of the world is covered by measurement stations.
Once hour 0 is assimilated weather models start to calculate how different processes like solar radiation, clouds and winds change this state.
As Open-Meteo only uses the end-product of this chain, personal weather stations cannot be included anymore.
If you want, you could try to use machine learning and Open-Meteo weather forecasts to build your own tailored forecasts. Hopefully this idea will be picked up by someone with instructions on GitHub.