Free weather api with +-50km precision based on met.no
Free weather api with +-50km precision based on met.no launched on September 1, 2018 with 15 votes, #804 of 2,635 launches that month and more than 75% of that year's launches.
In plain words
Free weather API with ±50km precision based on met.no provides weather data for developers building applications that need meteorological information. The API pulls from met.no's data and offers coverage with a precision range of plus or minus 50 kilometers. It's designed for developers who need to integrate weather functionality without purchasing a commercial weather service, making it suitable for hobbyist projects, educational applications, or cost-conscious development teams.
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Weather API for non-commercial use2021 · open-meteo.com · ▲443Weather Forecast APIs with weather models from multiple national weather providers, combining the best models for accurate forecasts worldwide. Explore the API documentation to learn more about the available weather models, their origin countries, resolutions, forecast lengths, and update frequencie
- PTProbably the most comprehensive weather API currently available2020 · ▲22
This was posted before but I'm quite pleased to share a major update for https://oikolab.com. We now have available seven decades of hourly weather data starting from 1950 for any location in the world, thanks to the recent publication of ERA5 reanalysis data from European Centre for Medium-Range Weather Forecasts (ECMWF). ERA5 is gap-free, gridded dataset generated using data assimilation method (https://en.wikipedia.org/wiki/Data_assimilation), similar to NWP models but with the benefit of hindsight. As far as we're aware of, we're the first weather data…

- TNThe new Windria – 2-5km precision wind forecasts2015 · windria.net · ▲63
Meteosource Weather API: current, forecast and historical data using ML2023 · meteosource.com · ▲20As Dark Sky's API will stop working soon I thought I'd suggest a possible replacement. It is well known that most weather APIs just download data from NOAA and "repackage" them to JSON format. This means you will get data only for the nearest grid point which might be a few kilometers away and at a different altitude than your actual location. Meteosource combines more models (GFS, ECMW, UKMO, GEM,...). It compares individual models' performance to historical data and uses machine learning to create a single output. This approach minimises inaccuracies of individual models and feeds a…
Franz Fahrenheit 2.02018 · apps.apple.com · ▲102Weather app for expats showing °C and °F side-by-side
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