In my experience, NWP data is big. Like, really big! Data over HTTP calls seems to limit the use case a bit; have you considered making it possible to mount storage directly (fsspec), and use fx the zarr format? In this way, querying with xarray would be much more flexible
There used to be a really nice website that allowed you to scroll and scale years worth of historical weather for any location. Also allowed you to prepare average annual graphs.
It fell into disrepair after Flash was killed off, and the maintainer wasn't able to commit time to porting it over to a new platform.
I figure that the commodification of weather data is the real reason why it hasn't been replaced with a viable alternative.
This is great! I've always wanted to backtest forecast models, but I was stuck on where to find good historical data.
Just a heads up that there is a similar Python package for this that is free called Herbie [1], though the syntax of this one looks a little easier to use.
Are historical weather forecasts more accurate than forward-looking ones?
Small typo on homepage/demo - ice 'probabilty'
I was initially very excited because this data is not nearly as it should be, especially historical forecasts. However, your pricing model seems to seriously limit the potential uses.
I would imagine that most people who have a serious interest in weather forecasting and would be target users of this service don’t think in terms of number of points but rather in lat/lon bounds, resolution, and number of hours & days for the predictions. I imagine they would also like to download a GRIB and not a CSV.
Your pricing for any large enough area to be useful presumably gets somewhat prohibitive, eg covering the North Pacific (useful for West Coast modeling) at 0.25 deg resolution might be ~300k data points per hour if I am doing my math right?