[steve_wilson]

I‘m ingesting data from my local weather service into Prometheus and display it in grafana, and what I find most interesting is how the forecast for a certain day changes over time, e.g. seeing how many changes happen until the service lands on the actual precipitation probability for the next hour, as well as correlations between changes across days - something most APIs don’t provide by default but once you feed them into Prometheus you get the historic changes easily.

[davidjade]

This is an idea that I’ve long wanted to explore. It’s along the lines of using the GEFS weather model, where the standard deviation model output parameter can be used to predict how settled a model run is.

Anything you can share? I would love to play with this, although my interest is in marine weather forecasts.