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Perform Advanced Analyses

Delve into the details.

Investigate wind shear, turbulence intensity, tower distortion, vertical temperature profile, long-term trends, and other aspects of the wind regime. Estimate wind turbine energy production, predict extreme wind speeds, and compare and correlate with other data sets.

Wind shear

Display the wind speed shear or wind direction shear versus month, time of day, direction, speed, temperature gradient, or a combination of factors. Analyze the frequency of extreme shear or veer events. Choose to base the calculations on all sensors or just a subset.


Display turbulence intensity versus height, wind speed, wind direction, month, or time of day. Filter by wind direction, flag, and other criteria. Graphically compare the measured turbulence to the standard IEC turbulence categories.

Temperature profile

If your data set contains temperature measurement at two or more heights, you can analyze the patterns in the temperature gradient by month, time of day, direction, wind speed, and more. You can also investigate the frequency distribution of the temperature gradient.


The powerful new MCP module lets you compare and correlate with reference data, experiment with different time steps of comparison, solve for the optimal time offset, choose among several correlation algorithms, test which algorithm works best on your data, and compare your target data before and after the MCP process. Download long-term reference data for free.

Compare data sets

The Compare Data Sets window graphically compares any number of data sets, even if they have different time steps and even if you imported some from data files, and some from a SQL database. The Onsite Data tab of the new WindographerMCP module allows a more sophisticated analysis of multiple data sets.

Long term patterns

Observe long term patterns and decadal cycles, and look for inconsistencies that can result from changes in instrumentation or reporting practices over long periods of time. Evaluate potential long-term reference data by searching for long-term trends or suspicious change points.

Short time intervals

Focus in on intervals as short a single time step to investigate notable events, or to look for problems such as backscattering in SoDAR data sets, or sensor malfunctions in met tower data sets.

Wind turbine energy output

Estimate the gross and net energy output and capacity factor of a wind turbine in the measured wind regime at any hub height, accounting for the effects of varying wind shear and air density. Choose from the library of over 200 wind turbines, or add your own.

Extreme winds

Calculate the 50-year extreme wind speed with any of three algorithms: periodic maxima, Method of Independent Storms, and the EWTSII algorithm. The Extreme Wind Analysis window also calculates the 50-year extreme wind gust, and lets you apply preconditioning and many types of filtering.

Representative year

The Representative Year module creates a synthetic one-year time series consisting of 8,760 hourly time steps from January 1 to December 31 with no gaps, which matches the distribution, diurnal and seasonal patterns, and autocorrelation of the measured data.

Forecast error

If you have a forecast time series of wind speed or turbine output, you can compare against the true measured values in new Forecast Error Analysis window. It analyzes the errors in the forecast time series and displays the patterns in the errors.

Wind speed distribution

Plot frequency histograms of any subset of the data set, and graphically compare several different Weibull fitting algorithms.