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. April 2026
    2. January 2026
    3. September 2025
    4. April 2025
    5. January 2025
    6. September 2024
    7. April 2024
    8. January 2024
    9. Archive Issues
    10. Subscribe Free!
    Featured
    May 5, 2026

    In this Issue – April 2026

    By Web TeamMay 5, 2026
    Recent

    In this Issue – April 2026

    May 5, 2026

    In this Issue – January 2026

    November 27, 2025

    In this Issue – September 2025

    August 11, 2025
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
Facebook LinkedIn
Subscribe
Meteorological Technology International
Data

£5.7m investment will triple computing capacity for atmospheric data analysis

Elizabeth BakerBy Elizabeth BakerMay 14, 20242 Mins Read
Share LinkedIn Facebook Twitter Email
£5.7m investment will triple computing capacity for atmospheric data analysis.
Credit: NCAS
Share
LinkedIn Facebook Twitter Email

UK Research and Innovation has invested £5.7m (US$7.15m) in a compute cluster that will reportedly triple the processing power for analyzing atmospheric science data. The cluster will be available for scientists to use by the summer of 2024.

Known as LOTUS, the expanded parallel compute cluster will enable a much greater volume of computing tasks and multiple streams of data analysis to be done at the same time. LOTUS is part of JASMIN, a data-intensive supercomputer used by researchers at the National Centre for Atmospheric Science with support from the Centre for Environmental Data Analysis.

Tripling the current capacity to around 55,000 compute cores means that LOTUS users – of which there are currently 1,500 – will experience better performance and reduced task queuing time.

Scientists will be able to use the renewed LOTUS cluster to analyze climate change, air pollution and weather data – as well as other environmental science topics and issues such as oceanography, wildlife populations and earthquake damage.

UK Research and Innovation’s investment was commissioned by the Natural Environment Research Council and delivered by the Science and Technology Facilities Council.

In related news, Spire Global is to provide a financial firm with its High-Resolution Weather Forecast model, which offers a six-day outlook powered by proprietary data collected from space, and develop an AI-powered model for long-range forecasting. Click here to read the full story.

Previous ArticleSpire Global to develop an AI-powered model for long-range forecasting
Next Article Wildfires in wet African forests have doubled in recent decades, AGU finds

Read Similar Stories

Automated Weather Stations

UNESCO hands over nine automated weather stations to the Ghana Meteorological Agency

May 12, 20262 Mins Read
Data

Copernicus launches Weather Replay app to explore historical weather data

May 11, 20262 Mins Read
Automated Weather Stations

University of Vermont launches first station in statewide weather monitoring network

May 8, 20262 Mins Read
Latest News

UNESCO hands over nine automated weather stations to the Ghana Meteorological Agency

May 12, 2026

Copernicus launches Weather Replay app to explore historical weather data

May 11, 2026

University of Vermont launches first station in statewide weather monitoring network

May 8, 2026

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


Enter your email address:


Supplier Spotlights
  • Senseca
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.