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
Numerical Weather Prediction

TGS and Vaisala expand East Coast weather prediction model for offshore wind farms

Dan SymondsBy Dan SymondsSeptember 15, 20212 Mins Read
Share LinkedIn Facebook Twitter Email
TGS US East Coast NWP results - credit: TGS
Share
LinkedIn Facebook Twitter Email

Energy data and intelligence provider TGS has collaborated with weather measurement specialist Vaisala to expand its numerical weather prediction (NWP) model for the East Coast of the USA.

The latest model covers a 400,000km2  offshore area extending from Massachusetts to North Carolina and was selected to inform the assessment of wind resources in the New York Bight Proposed Sale Notice areas.

These model results have been validated by publicly available measurements, including but not limited to floating lidar data, to increase confidence and improve data quality compared with other industry data sets.

TGS will now include both US and Scotwind NWP models into a comprehensive atlas of public and proprietary wind data resources. Combined with TGS subsidiary 4COffshore’s market intelligence database, this provides a useful resource enabling fast and accurate evaluation of available data in existing leases, especially for future auctions.

Katja Akentieva, vice president, new energy solutions for western hemisphere, TGS, said, “We are pleased to provide unique solutions and insights to the fast-growing offshore wind industry in the US and beyond, enabling our customers to reduce their commercial risk and improve their understanding of the energy potential in each lease block. Initial results reveal some interesting variations, spatial and temporal, which may impact various components of the wind farm design, construction and energy output.”

Previous ArticleAutomated weather station to capture and display Death Valley temperatures in real time
Next Article New York senator pushes for multi-million-dollar upgrades to US mesonet systems

Read Similar Stories

Satellites

AI tool uses weather satellite data to map ocean currents in near real time

April 14, 20263 Mins Read
Climate Measurement

New tool speeds up climate model evaluation

April 13, 20262 Mins Read
Climate Measurement

China inaugurates 27th national climate observatory in Hebei

April 9, 20262 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
  • Meteorage
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.