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

Vaisala launches digital toolkit to highlight potential lightning damage

Dan SymondsBy Dan SymondsNovember 17, 20212 Mins Read
Share LinkedIn Facebook Twitter Email
Credit: Vaisala
Share
LinkedIn Facebook Twitter Email

Weather and environmental measurement specialist Vaisala has introduced a new digital toolkit, Strike Damage Potential, which enables users to view lightning data and assess where the most damaging strikes have occurred.

Casey McCullar, head of lightning at Vaisala, said, “Across the globe, billions of lightning events occur every year, and the strikes that connect from the cloud to the ground, or objects on the ground, like buildings, trees and towers, can be hazardous to life and property. With a better understanding of which lightning events cause the most damage through precise detection, decision-makers can tell when, where and how often these lightning events occur, and take action to protect their people and property as well as improve operational efficiency.”

Part of Vaisala’s suite of lightning detection solutions, Strike Damage Potential enables organizations across industries to identify both compound lightning strikes and strikes with continuing current – the lightning strikes most likely to cause damage. They can then act by efficiently deploying resources to reduce outage durations and minimize potential damage on their property. The solution can be accessed from both the Vaisala Lightning Integrator API and the Lightning Exporter web interface.

Strike Damage Potential is particularly useful for applications in land and forest management; power transmission companies and wind farms; and climatological and long-term asset damage analysis.

Previous ArticleFrench research team launches stratospheric balloons to measure atmosphere along intertropical zone
Next Article Scientific sailing expedition to deploy Argo floats in remote Atlantic locations

Read Similar Stories

Nowcasting

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

June 2, 20262 Mins Read
Automated Weather Stations

Vaisala launches AWS810 Airport Edition automatic weather station

May 26, 20262 Mins Read
Weather Instruments

R.M. Young Company reengineers SNOdar snow-depth sensor

May 21, 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
  • 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.