[KongchangAI]
ModelWeatherNext 3

WeatherNext 3

A next-generation global meteorological AI model released by Google, positioned as an AI weather forecasting system with improvements in medium-to-long-range forecast accuracy and inference speed over both its predecessors and traditional numerical weather prediction baselines.

Timeline (last 90 days)

Sep 30

Technical details about WeatherNext 3 regarding the model's forecast accuracy, temporal resolution, and coverage have not been fully disclosed.

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Sep 30

WeatherNext 3 provides solar radiation forecasts.

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Sep 30

WeatherNext 3 provides wind speed forecasts at turbine height.

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Sep 30

Google has launched the WeatherNext 3 weather forecasting system to provide meteorological prediction data for grid operators and wind and solar power generation companies.

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Sep 30

The WeatherNext series optimizes general-purpose AI weather models for the specific altitude levels and physical quantities required by the energy industry, representing a vertically specialized industry deployment.

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Sep 16

WeatherNext 3 has been described as the most accurate and capable global AI weather model to date.

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Sep 10

WeatherNext 3 completely bypasses physical simulation, learning weather evolution rules end-to-end directly from real-time satellite observation data, with inference speed typically hundreds of times faster than traditional NWP.

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Sep 10

WeatherNext 3 can provide hourly forecasts on a 5-kilometer grid, with spatial resolution five times greater than the previous generation.

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Sep 10

WeatherNext 3 specifically added customized data interfaces for renewable energy, capable of outputting photovoltaic radiation data and wind power wind speed and direction profiles.

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Sep 8

Google has released WeatherNext 3, which uses satellite observations to update global forecasts every hour at a spatial resolution of 5 kilometers

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11 more timeline events

All Facts (18)

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WeatherNext 3 introduces 100-meter wind speed forecasts, high-resolution cloud cover forecasts, and solar irradiance level forecasts, specifically serving renewable energy production.

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WeatherNext 3 learns directly from real-time satellite observation data, rather than relying on output data from traditional numerical weather prediction (NWP) models.

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WeatherNext 3 supports temperature and humidity forecasts at 5 km resolution, other surface variable forecasts at 10 km resolution, and atmospheric variable forecasts such as wind speed at 25 km resolution.

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WeatherNext 3 provides wind speed forecasts at turbine height.

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Unverified

The WeatherNext series optimizes general-purpose AI weather models for the specific altitude levels and physical quantities required by the energy industry, representing a vertically specialized industry deployment.

50%
Unverified

WeatherNext 3 provides solar radiation forecasts.

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Unverified

WeatherNext 3 completely bypasses physical simulation, learning weather evolution rules end-to-end directly from real-time satellite observation data, with inference speed typically hundreds of times faster than traditional NWP.

50%
Unverified

WeatherNext 3 specifically added customized data interfaces for renewable energy, capable of outputting photovoltaic radiation data and wind power wind speed and direction profiles.

50%
Unverified

WeatherNext 3 can provide hourly forecasts on a 5-kilometer grid, with spatial resolution five times greater than the previous generation.

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WeatherNext 3 is a flagship AI weather forecasting model released by Google, officially positioned as the most advanced and most accurate global weather AI model to date.

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WeatherNext 3 has been fully integrated into Google's product matrix, including Google Search, Gemini, Google Maps, Google Maps Platform, and Google Cloud.

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WeatherNext 3 uses the NASA IMERG dataset and Google's proprietary precipitation reanalysis data for precipitation forecast training.

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WeatherNext 3 provides approximately five times clearer global weather picture than the previous generation WeatherNext 2.

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WeatherNext 3's precipitation forecasts show improvements of up to 60% relative to the IMERG dataset, 30% relative to MRMS, and 10% relative to rain gauge measurements at earlier lead times, as measured by the Continuous Ranked Probability Score (CRPS).

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Google DeepMind and Google Research jointly launched WeatherNext 3.

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Google has launched the WeatherNext 3 weather forecasting system to provide meteorological prediction data for grid operators and wind and solar power generation companies.

50%
Unverified

WeatherNext 3 has been described as the most accurate and capable global AI weather model to date.

50%
Unverified

Google has released WeatherNext 3, which uses satellite observations to update global forecasts every hour at a spatial resolution of 5 kilometers

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