WeatherNext
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Weathernext
Overview :
WeatherNext is the latest AI weather forecasting technology developed by Google DeepMind and Google Research. It provides fast and accurate weather predictions through advanced AI models, assisting in the response to extreme weather events, enhancing the reliability of renewable energy, and boosting global food security. This technology is offered free of charge to scientists and forecasters to expedite global research and application in weather forecasting.
Target Users :
This product is designed for meteorologists, climate scientists, professionals in the energy sector, disaster response teams, and government departments and businesses that require precise weather forecasts for decision-making. It aids them in better managing extreme weather, optimizing the use of renewable energy, and enhancing the reliability of their supply chains.
Total Visits: 3.2M
Top Region: US(20.86%)
Website Views : 50.0K
Use Cases
Meteorological agencies utilize the WeatherNext model to improve forecast accuracy, issuing early warnings for heavy rain and hurricanes.
Energy companies leverage this technology to optimize scheduling for wind and solar power generation, enhancing the stability of energy supply.
The agricultural sector adjusts planting schedules based on precise weather forecasts, mitigating the impact of extreme weather on crops.
Features
Offers faster and more efficient weather forecasts compared to traditional physical models.
Generates deterministic forecasts (single predictions) and ensemble predictions (multiple possible future weather scenarios).
Supports forecasts for up to 15 days with a time resolution of up to 6 hours.
Provides real-time forecasts and historical data through Google Cloud, supporting research and decision-making.
Open-source model code facilitates research and development.
How to Use
Visit the Google Cloud platform to register and log in.
Select WeatherNext model data in BigQuery or Earth Engine.
Choose either the WeatherNext Graph or WeatherNext Gen model based on your needs.
Download real-time forecast data or historical data for analysis.
Utilize open source code for customized development or further research.
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