breezy-weather / breezy-weather

A Material Design Weather Application
GNU Lesser General Public License v3.0
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Graphcast: a deep learning-based system developed by Google Deepmind #576

Closed pein0saga closed 11 months ago

pein0saga commented 11 months ago

Link to publicly available documentation of the API

https://github.com/google-deepmind/graphcast

Available and not available data

Graphcast: Upper-air fields are z (geopotential), q (specific humidity), t (temperature), u (U component of wind), v (V component of wind), w (vertical wind component) on the following pressure levels: 1000hPa, 925hPa, 850hPa, 700hPa, 600hPa, 500hPa, 400hP, 300hPa, 250hPa, 200hPa, 150hPa, 100hPa and 50hPa

The single-level fields are msl (mean sea level pressure), 10u (10 metre U wind component), 10v (10 metre U wind component), and 2t (2 metre temperature).

Are you going to develop yourself the new source for the app?

No

Give a bit more details or context about this source

https://github.com/ecmwf-lab/ai-models-graphcast https://github.com/google-deepmind/graphcast

google-deepmind/graphcast

[2212.12794] GraphCast: Learning skillful medium-range global weather forecasting https://arxiv.org/abs/2212.12794

https://charts.ecmwf.int/products/graphcast_medium-mslp-wind850?base_time=202311270000&projection=opencharts_europe&valid_time=202311270600

https://www.ecmwf.int/en/forecasts/dataset/machine-learning-model-data

Acknowledgements

papjul commented 11 months ago

[X] If this is a weather source request, I checked that endpoints are by coordinates, or that there is a reverse geocoding endpoint.

Link to documentation of API endpoints please?

github-actions[bot] commented 11 months ago

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