Wind Speed Time Series

Once you’ve gathered sufficient local measurements at your potential wind farm site, it’s time to make some critical decisions—one of the most important being the MCP process for long-term extrapolation of wind speed time series. Vortex SERIES provides historical wind speed time series with excellent correlation for most sites, but it’s up to you to validate its performance for your specific wind resource assessment. To help you make an informed choice, we provide a 6-month wind speed time series sample download, so you can test the data before committing to a purchase.

Reliable wind speed time series are a cornerstone of robust wind resource assessment once on-site measurements are available. Vortex SERIES complements short- and mid-term measured data by providing historical wind speed time series specifically designed to support MCP-based long-term extrapolation workflows. By extending local observations into multi-decadal reference periods, engineers can reduce uncertainty, assess interannual variability, and improve the bankability of wind energy projects.

The dataset is particularly valuable for evaluating long-term wind behavior under different large-scale climatic conditions, enabling consistency checks between measured data and reanalysis-driven historical wind data. This allows project developers to identify potential biases, seasonal deviations, and long-term trends that may influence energy yield estimates and financial assumptions. Vortex SERIES is therefore well suited for detailed correlation analysis, representativeness studies, and sensitivity testing within standard wind resource assessment methodologies.