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
Supercomputers

European forecasters to simulate weather at 1km resolution on supercomputer

Paul WillisBy Paul WillisJanuary 9, 20202 Mins Read
Share LinkedIn Facebook Twitter Email
Pic: Ivica Brlić
Share
LinkedIn Facebook Twitter Email

Scientists from the European Centre for Medium-Range Weather Forecasts (ECMWF) have been selected to carry out research on climate simulations on the world’s most powerful supercomputer.

After a highly competitive selection process, the team from the UK-based center were awarded 500,000 node-hours on the Summit supercomputer at the Oak Ridge National Laboratory in Tennessee.

The team, which consists of meteorologists Nils Wedi, Peter Bauer and Peter Duben, will use their time on Summit to explicitly simulate deep convection at the global scale.

They aim to run a global weather simulation for at least a season, and potentially for an entire year. The supercomputer will be able to provide them with 1km resolution.

The researchers called this level of resolution “a quantum leap” forward for their work since computational cost limitations mean that the grid spacing in today’s highest-resolution operational global models is usually in the order of 10km, and is even coarser for seasonal and climate predictions.

However, running such a long simulation – often referred to as a Nature Run – at such high resolution will produce vast amounts of data.

The team will be helped in their work by Oak Ridge scientist Valentine Anantharaj.

“Deep convection affects the vertical redistribution of energy, momentum and heat in the atmosphere,” said Wedi, the head of Earth System Modelling at ECMWF. “Our inability to resolve these processes is a major source of uncertainty in weather and climate predictions.”

“Going down to 1km is a quantum leap which will enable us to see how explicitly simulated deep convection interacts with and induces global changes in weather patterns.”

Previous ArticleClimate change now detectable in daily weather, say scientists
Next Article Weather can drive people into poverty. Knowing the weather can lift them out

Read Similar Stories

Aviation

Met Office launches platform to support needs of evolving aviation industry

March 24, 20262 Mins Read
Automated Weather Stations

Chongqing expands AI-powered weather services to improve warning times

March 5, 20263 Mins Read
Data

Met Office rolls out major forecasting system upgrade

February 9, 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
  • Raymetrics
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.