Description
This is a dynamic AI-based dataset providing global weather forecasts up to 10 days ahead in 6-hour intervals.
Technical Description
WeatherNext Graph is an experimental dataset of global medium-range weather forecasts produced by an operational version of Google DeepMind's graphical neural network weather model. It offers more accurate and efficient deterministic forecasts (i.e. single prediction), compared to the best deterministic systems in use today.
The experimental dataset includes real-time and historic data. Real-time data is any data that relates to a time that is no more than 48 hours in the past ("Real-Time Experimental Data"), while historic data is any data that relates to a time that is more than 48 hours ago ("Historic Experimental Data"). This Collection holds only the forecast or Real-Time Experimental Data.
This dataset includes major surface fields including temperature, wind speed, precipitation, humidity, and pressure. The spatial resolution is 0.25 degrees (about 27 km/pixel). Forecast init times have 6 hour resolution (00z, 06z, 12z, 18z). Forecast lead times have 6 hour resolution up to a max lead time of 10 days.
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