Long-Term High Resolution Time Series. Up to 30 years 10-minute time series modelled at 300 m.
Turbulence Wind Time Series. Provides high-resolution (100m) modeled virtual datasets for anywhere in the world.
Historical Wind Time Series. When local measurements are already available and long-term extrapolations are required.
Gridded Time Series & WRG. Filter through different variables such as time of day, season, or stability.
Wind Resource Grid (WRG) Files. Probably the most complete modeling product on the market.
Regional Wind Resource Maps. Wind resource data across a large area at 3 km or 1 km resolution.
Virtual Met Masts. Designed to help you in the important decision of placing a real met mast on the field.
Extreme Wind Speed Events. Extreme events beyond the usual Vref calculations under different return periods.
Wind Farm Icing Probability. Provides a fairly reasonable estimate of the combined probability of frost and wind between critical thresholds.
Seasonal Wind Speed Anomaly Forecasts. Forecasts for wind speed anomalies over periods up to 12 months.
Papers, Presentations, and Wind Maps
Technical Info, Events, and News
Pay per Run, Packages, and Subscriptions
Frequently Asked Questions
Which region should I focus my efforts on?
At the start of development MAP helps you by a zooming sequence of decisions.
Where should I install a met mast?
Before actually measuring LES or MAST orientates you for a fraction of the price of a real mast.
Where and which Class should my turbines be?
While measuring FARM helps you designing your wind farm and selecting your turbines.
How profitable will my wind farm be?
Once measurement are available SERIES makes your measurements bankable by long-term extrapolation.
Wind Farm Development
Learn more about each of our products
Your one-stop wind data solution for accurate assessments, featuring long-term, high-resolution time series tailored to your location.
Get Started Today
Modeled wind resource data for the wind industry. At any site around the world. Onshore and offshore.