Close Menu
Meteorological Technology International
  • News
    • A-E
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
    • G-P
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
    • R-S
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
    • T-Z
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    • January 2026
    • April 2025
    • January 2025
    • September 2024
    • April 2024
    • Archive Issues
    • Subscribe Free!
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
LinkedIn X (Twitter) Facebook
  • Sign-up for Free Weekly E-Newsletter
  • Meet the Editors
  • Contact Us
  • Media Pack
LinkedIn Facebook
Subscribe
Meteorological Technology International
  • News
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    1. January 2026
    2. September 2025
    3. April 2025
    4. January 2025
    5. September 2024
    6. April 2024
    7. January 2024
    8. September 2023
    9. April 2023
    10. Archive Issues
    11. Subscribe Free!
    Featured
    November 27, 2025

    In this Issue – January 2026

    By Hazel KingNovember 27, 2025
    Recent

    In this Issue – January 2026

    November 27, 2025

    In this Issue – September 2025

    August 11, 2025

    In this Issue – April 2025

    April 15, 2025
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
Facebook LinkedIn
Subscribe
Meteorological Technology International
Data

Nvidia’s AI weather prediction technology to use Spire Global’s data

Elizabeth BakerBy Elizabeth BakerMarch 20, 20242 Mins Read
Share LinkedIn Facebook Twitter Email
A Spire Global satellite orbits the globe.
Credit: Spire Global
Share
LinkedIn Facebook Twitter Email

Spire Global’s radio occultation (RO) data and proprietary data assimilation (DA) capabilities are to be integrated with AI company Nvidia Earth-2 Cloud APIs to leverage AI to accelerate climate and weather predictions.

AI weather prediction

The Nvidia Earth-2 platform includes the physical simulation of numerical models like ICON and IFS; neural network models such as FourCastNet, GraphCast and Deep Learning Weather Prediction through the Nvidia Modulus framework; and data federation and visualization with Nvidia Omniverse technologies. Earth-2 aims to provide a path to simulate and visualize the global atmosphere at unprecedented speed and scale.

Spire’s multipurpose constellation of satellites, using RO technology, offers global coverage of precise vertical profiles of temperature, pressure and humidity across the globe – including under-observed areas and remote regions. By combining this data set and Spire’s proprietary DA analyses with Nvidia’s advanced AI platforms and APIs, this collaboration aims to usher in a new era of accuracy in weather forecasting.

“As our world grapples with dynamic shifts in climate, anticipating and mitigating the impact of extreme weather events poses escalating challenges for companies, individuals and communities,” said Michael Eilts, general manager of weather and climate at Spire. “Aligning Spire’s proprietary data and unmatched global weather coverage with Nvidia’s cutting-edge technology and expertise positions us to markedly elevate the accuracy of weather prediction. This collaboration will help ensure our customers are not just informed but empowered to proactively address the evolving climate landscape.”

Weather forecasting accuracy

Through this collaboration, Spire plans to deliver differentiated forecast products that are computationally infeasible using traditional NWP models. This includes rapidly updating global forecasts extending into the subseasonal timeframe, large ensemble systems capturing the entire range of possible weather outcomes, and generative AI downscaling models resolving fine forecast details over local areas. These capabilities are intended to enhance Spire’s core products, such as the DeepVision weather risk mitigation platform, maritime route optimization and renewable energy power forecasts. The company expects to provide its customers in various sectors, including energy, commodity hedging and trading, maritime, aviation, supply chain, insurance, transportation, defense and more, with lower latency, extended lead times and heightened forecast accuracy.

In related news, Spire Global was recently awarded US$9.4m by the National Oceanographic and Oceanic Administration (NOAA) to provide radio occultation (RO) data for eight months. Click here to read the full story.

Previous ArticleTrinidad and Tobago Meteorological Service and FMI host SOFF Country Hydromet Diagnostics Stakeholder Workshop
Next Article Finnish Meteorological Institute celebrates 100 years of aviation weather services

Read Similar Stories

Space Weather

Northumbria University secures £4m to study Earth’s radiation belts

April 16, 20262 Mins Read
Extreme Weather

AI model improves real-time prediction of wildfire spread

April 16, 20263 Mins Read
Satellites

AI tool uses weather satellite data to map ocean currents in near real time

April 14, 20263 Mins Read
Latest News

Northumbria University secures £4m to study Earth’s radiation belts

April 16, 2026

AI model improves real-time prediction of wildfire spread

April 16, 2026

Study identifies atmospheric trigger behind flash droughts in Puerto Rico

April 15, 2026

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Supplier Spotlights
  • ROTRONIC AG
Getting in Touch
  • Contact Us / Advertise
  • Meet the Editors
  • Media Pack
  • Free Weekly E-Newsletter
Our Social Channels
  • Facebook
  • LinkedIn
© 2026 UKi Media & Events a division of UKIP Media & Events Ltd
  • Cookie Policy
  • Privacy Policy
  • Terms and Conditions
  • Notice and Takedown Policy

Type above and press Enter to search. Press Esc to cancel.