Wind data analysis

All the operations required to have a perfect knowledge of the meteorological variables that rules a site are performed in this module.

Variables collected and new variables created by the user can be treated and analyzed in order to obtain the most useful info for the project.

Data inspection

Once the raw data collected is uploaded, the user can see the data coverage. This module also provides tools for the process of data screening by flagging data, analyzing the possible influence of the mast tower in the measurements, shifting the time of measurements and modifying raw data by changing calibration parameters.

Data coverage

The user is able to explore coverage percentages of each channel for every wind data. This coverage percentage can be filtered by year, month and hour as well, just in case availability of data is linked to any particular reason occurring periodically.

Apply time shift

Allows the user shifting the data in time, by modifying the number of steps (forward or backward) or changing the start or end dates.

Apply slope and offset

It is possible to correct slope and offset as long as both parameters have the actual and real values for all sensors. In this dialog it is also possible to “Restore” the channel with the original data.

Tower distorsion

It is possible to identify disturbed sector by the met mast. Filters can be applied to exclude values with a ratio greater than a certain number (typically occurring at low wind speeds).

Reanalysis data download

MERRA, MERRA-2, ERA-INTERIM and CFSR data can be downloaded now directly from FUROW.  Data at several heights are available and spatial and time interpolations can be performed to obtain meteorological variables at the desired coordinates.

Manual data flagging

This new feature allows the user to flag data manually and together with the flagging with rules, makes Furow a powerful tool to treat raw data in an easy and fast way.

Generate data

To perform more sophisticated analysis, it is required to have more variables than the ones collected with the measurement devices. In this module the user can obtain synthetic, calculated from the collected measurements, that can be added to the existing project. Furow runs over Matlab, therefore, the more you know about this tool the more valuable synthetic data you can obtain and use for your analysis.

Atmospheric parameters extrapolation

Any atmospheric parameter such as temperature, pressure and relative humidity can be extrapolated (interpolated if needed) from measurement height to any height.

Wind vertical extrapolation

Any property of the wind measured, such as the mean wind speed, wind speed standard deviation and wind direction can be extrapolated to any height. There are several types of fittings which can be used for wind vertical extrapolation.

Air density and wind power calculation

Wind power density indicates how much power per area is available at the air for a given air density and wind speed.

MCP (Measure-Correlate-Predict)

Allows the user to analyze the relationship in wind speed and wind direction between a target and a reference site. Five different methods can be used.

MCP (Measure-Correlate-Predict) multiple masts

A new improvement in the software gives the possibility to perform MCP not only with one met mast but also with multiple masts filling the gaps with the data of the best correlating mast/sensor in that period of time.

Rotor equivalent speed

 This module allows the user calculating the flux wind speed along the whole rotor taking into account the wind speed vertical profile.

Data analysis

Once the raw data collected, after a measurement campaign, is uploaded, the user can see the coverage.When the user obtains all the data, measured and synthetic data, it is time to perform the analysis of those variables in order to use them for future wind resource assessment. This module offers the next analysis :


The main goal is to detect the period with the highest availability of the data, including the possibility of obtaining a combined availability with multiple channels (i.e. wind speed and wind direction).

Weibull fit

Used to describe the wind speed behavior at a given site. There are up to seven types of fittings which can be applied. Moreover, merge of sectorial or monthly weibull functions can also be carried out.

Scatter plot and fitting window

Two data series can be compared in terms of some skill score parameters such us BIAS, MAE, RMSE and R2/CCC2. Moreover, data can be manually flagged on this window.


Depending on the IEC Edition, the characteristic or representative values of turbulence intensity are calculated and compared against the reference values. Also extreme values can be assessed.

Wind Shear

Wind shear can be quantified through different parameters derived from different formulations:

  • Power law
  • Log law
  • Log linear law
  • Log-log2 law

Atmospheric stability

Thermal stability influences the vertical movements of air parcels, thus modifying the vertical exchange of momentum and as a consequence, the wind profile across the whole layer. It can be assessed through different ways, mainly through Richardson number and Monin-Obukhov length. Boundary layer height can also be estimated on this module

Extreme winds

Allows calculating the Vref value based on wind data measured at the site, that is, the maximum 10 min wind speed in 50 years through different methods: periodic maxima, independent storms and EWTS standard.

Hurricanes wind speed calculation

Furow includes a hurricanes extreme wind calculation module. It shows the path of the hurricanes that have passed over an area for the last decades as well as the speed of the extreme wind of those hurricanes. Calculations are performed in order to determine de Vref values at the desired hub height.

Inflow angle

Inflow angle at a particular site can be determined through the direct measurement of vertical wind speed measured with a sonic anemometer, vertical anemometer or remote sensing device.

High wind hysteresis

This module evaluates the number of time steps potentially lost by a wind turbine due to high wind hysteresis control.

Wind transitions

The transients of wind speed can be assessed by date and time, depending on a given time frame. It is useful to identify events in which wind speed changes very fast in a positive or negative way (ramps events).

Energy production

Allows a quick calculation of annual energy production (AEP) and capacity factor (CF) based on one wind turbine type or even a wind farm power curve derived from calculations in the micrositing module.

Energy losses by temperature

These losses are taken into account when launching an energy yield calculation in order to provide the user with the final net values of energy production.

Long term

Within this module long term average wind speed and power production, trends and changes in the time series calculated can be observed. Moreover IAV values can be calculated.