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
Solar

Chinese Academy of Sciences develops dust forecast system for solar energy industry

Elizabeth BakerBy Elizabeth BakerApril 16, 20252 Mins Read
Share LinkedIn Facebook Twitter Email
http://videoen.cas.cn/masvod/public/2025/04/15/20250415_1963761c026_r1_1200k.mp4
Time-lapse photography of dust storm in Bayannur captured with iDust’s guidance. Credit: Liu Yijing
Share
LinkedIn Facebook Twitter Email

Scientists from the Chinese Academy of Sciences have developed a forecasting tool called iDust that improves predictions of dust storms, offering benefits for solar energy production. The research, led by Dr Xi Chen at the Institute of Atmospheric Physics, was published in the Journal of Advances in Modeling Earth Systems (JAMES).

Preparing for extreme dust storms

On April 13, 2024, researchers using iDust successfully tracked an extreme dust storm in China’s Bayannur region. According to the team, iDust overcame existing dust prediction models’ limitations in resolution and speed by integrating dust processes directly into the dynamical core, providing higher-resolution forecasts (10km instead of 40km) while using only slightly more computing power than standard weather models. The tool can generate 10-day dust forecasts in just six hours after observation

Solar efficiencies

“Dust storms not only block sunlight but also accumulate on solar panels, decreasing their power output,” said Chen.

As existing studies show that failing to account for dust can lead to overestimating available solar energy by up to 25%, the iDust system is expected to help solar farms and power grid operators better prepare for dust-related disruptions – improving efficiency and reducing costs.

In related news, the WMO recently issued its annual report on the incidence of sand and dust storms, as well as their impacts on society. Click here to read the full story.

Previous ArticleIn this Issue – April 2025
Next Article University of Houston unveils hydrology model to evaluate extreme weather

Read Similar Stories

Oceans

VIDEO: Sentinel-6 satellite detects El Niño precursor in Pacific

June 4, 20262 Mins Read
Solar

New forecasting framework targets solar-limb flare blind spot

June 4, 20262 Mins Read
Nowcasting

Colorado State University and Nvidia partner to extend severe storm prediction lead times

June 2, 20262 Mins Read
Latest News

VIDEO: Sentinel-6 satellite detects El Niño precursor in Pacific

June 4, 2026

New forecasting framework targets solar-limb flare blind spot

June 4, 2026

Colorado State University and Nvidia partner to extend severe storm prediction lead times

June 2, 2026

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


Enter your email address:


Supplier Spotlights
  • REMTECH
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.