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
Early Warning Systems

Vaisala launches lidar-based water vapor vertical profiler to predict severe weather

Dan SymondsBy Dan SymondsMay 24, 20232 Mins Read
Share LinkedIn Facebook Twitter Email
Share
LinkedIn Facebook Twitter Email

Weather and environmental measurement specialist Vaisala has unveiled its new water vapor vertical profiler – the DA10 differential absorption lidar (DIAL) – that provides local forecasters with access to critical intelligence to predict severe weather.

Paul Melin, vice president of products and technologies at Vaisala, said, “DA10 is a game-changer in the industry because measuring water vapor has always been a manual, time-consuming and expensive process led by the observation community. Now, meteorological services gain access to local humidity observations around the clock with a calibration-free solution which is designed with synoptic observation networks in mind. DA10 allows them to provide more accurate and timely information and issue early warnings for local communities in advance of dangerous weather conditions, like thunderstorms and flash flooding.”

While globally coordinated upper-air observations obtain an overall picture of humidity patterns, the DA10 continuously measures water vapor within the boundary layer in any location and under any conditions. When combined with weather and climate modeling, the information can enhance nowcasting and forecasting to detect the most severe storms within the next 12 hours with enhanced reliability and accuracy.

Core features of the DA10 include:

  • Advanced modeling and data assimilation which allow near real-time information for nowcasting and long-term modeling through numerical weather prediction (NWP).
  • Autonomous, easy setup and use for localized forecasting. No operator is needed, and little to no maintenance is required.
  • Uninterrupted and secure operation 24/7, keeping robust design and cyber and data security top of mind.
  • Patented transmitter technology to deliver the industry’s first research-grade DIAL technology for operational networks.

For the latest news about Vaisala, click here.

Previous ArticleCost of weather-related disasters soars but early warnings save lives
Next Article Meteomatics to demonstrate its Meteodrones at Meteorological Technology World Expo

Read Similar Stories

Climate Measurement

Regional training aims to improve flood forecasting in Central Africa

April 1, 20263 Mins Read
Early Warning Systems

European Commission sets out strategy to address growing wildfire risk

March 31, 20263 Mins Read
Rainfall

New research to improve flash flood warnings in rural Virginia

March 17, 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
  • GAMIC GmbH
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.