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Comment by piersj225

1 day ago

After darksky was shutdown I ended up using, https://www.yr.no/en . I've not seen it recommended here before and thought someone might enjoy it

They've also got a developer interface - https://developer.yr.no

One of the things that I've seen with them that I haven't seen with others is the cloud cover by layer.

https://www.yr.no/en/details/graph/2-6301678/United%20States...

https://www.yr.no/en/details/table/2-6301678/United%20States...

For doing photography (sunsets) there's a significant difference between 50% high clouds and 50% low clouds.

  • I know that this is shameless self-promotion, but maybe this could interest you: https://sunsethue.com/ :)

    • Nice to see how much you've developed Sunsethue over the last two years! I remember I built myself some custom alert logic back with your API even before the public launch :)

      A year and a half or something later.. I recently started a project of my own trying to bring all "weather dependent" photo opportunities together in one place, if you wouldn't mind I would be happy to experiment with bringing Sunsethue data to https://photoweather.app - your prediction model is certainly a lot more sophisticated than mine and it would be very cool to offer that

      1 reply →

For the ones who might be interested, Yr.no uses the ECMWF (European weather model) as their main data source. This model scores the best on benchmarks of the global weather models (available for the whole world), but AI models are catching up on some parameters. Still, there are local weather models available with a much higher resolution (these are regional and only have forecasts up to a couple days). Examples are ICON-D2, Arome, Harmonie for parts of Europe, and HRRR for the US. I'm not sure which apps use these models though.