WeatherNext

WeatherNext

Google DeepMind
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About

IBM strives to combine accurate weather data with industry-leading science and technology to better inform consumers’ daily actions and support smarter decision-making for businesses. Universal and powerful, weather has a serious effect on people’s emotions and behaviors. From food and clothing choices to taking shelter after a tornado alert, millions of decisions are made every day based on the weather. As part of IBM’s commitment to being essential, we are focused on using our knowledge, scale, technology and trust to advance the science of accurate weather forecasting and help people everywhere make better decisions. Weather also serves a critical role in business intelligence, such as guiding the route a pilot takes to avoid turbulence, when a farmer fertilizes their crops or how an energy company mobilizes its crews after a power outage. Everyone deserves accurate and reliable weather forecasts and data.

About

WeatherNext is a family of AI models from Google DeepMind and Google Research that produces state-of-the-art weather forecasts. These models are faster and more efficient than traditional physics-based weather models and yield superior forecast reliability. The gains in forecast performance could enable better preparation to help save lives in the face of extreme weather events and enhance the reliability of sustainable energy and supply chains. WeatherNext Graph offers more accurate and efficient deterministic forecasts compared to the best deterministic systems in use today, providing a single weather forecast per time and location with a temporal resolution of 6 hours and a lead time of 10 days. WeatherNext Gen accurately generates an ensemble forecast, better than the current ensemble models most widely used today, helping decision-makers better understand weather uncertainties and risks of extreme conditions.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Businesses and organization interested in a weather science solution for accurate forecasting

Audience

Meteorologists and climate researchers searching for a tool to enhance disaster preparedness and sustainability planning

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

IBM
Founded: 1911
United States
www.ibm.com/weather

Company Information

Google DeepMind
Founded: 2010
United Kingdom
deepmind.google/science/weathernext/

Alternatives

Alternatives

Categories

Categories

Integrations

AlphaCode
AlphaEvolve
AlphaFold
Chinchilla
Gemini
Gemini Deep Research
Gemini Diffusion
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Robotics
GitHub
Google AI Studio
Google Cloud BigQuery
Google Cloud Platform
Google Earth Engine
Gopher
IBM Cloud
IBM Watson
Music AI Sandbox
Project Mariner

Integrations

AlphaCode
AlphaEvolve
AlphaFold
Chinchilla
Gemini
Gemini Deep Research
Gemini Diffusion
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Robotics
GitHub
Google AI Studio
Google Cloud BigQuery
Google Cloud Platform
Google Earth Engine
Gopher
IBM Cloud
IBM Watson
Music AI Sandbox
Project Mariner
Claim IBM Weather and update features and information
Claim IBM Weather and update features and information
Claim WeatherNext and update features and information
Claim WeatherNext and update features and information