Download MINT here.

• Reads data from cup-anemometers, wind vans, temperature, pressure and many other meteo-sensors.
• Reads wind data from LIDAR or SODAR. View example
• Reads power curves of wind turbines.
• Allows time series down to one second resolution.
• Can easily handle very large data files (150MB or more). View example
• Filter data for icing detection, seasonal or diurnal analysis. View example
• Shift time stamp or transform data.
• Plot several types of wind roses.
• Overlay wind roses of up to 8 wind sensors. View example
• Analyse and plot the wind shadowing behind a met-mast.
• Analyse and plot turbulence intensity according to IEC 86400-1.
• Perform vertical extrapolation of wind speed to another height. View example
• Plot the vertical wind profile observed with LIDAR or SODAR.
• Estimate P-values of annual power production with true Monte-Carlo-Simulations. View example
• Plots the histogram of data.
• Bin data to arbitrary class width.
• Plots scatter diagram of two data sets and test its Pearson-correlation, Spearman ranked order or Kolmogorv-Smirnov distance.
• Shows the diurnal, daily, weekly, seasonal or annual cycle. View example
• Compares cycles of different data sets.
• Evaluate Weibull parameters from wind speed using maximum likelihood estimator, linear fitting or WAsP like estimator.
• Estimate the confidence intervalls of the Weibull parameters with bootstrapping. View example
• Calculate 50-year return rates based on Gumbel, General Extreme Value or POT methods. View example
• Perform linear, quantile or orthogonal MCP. Check reliability of results. View example
• Perform multi-dimensional MCP. Check reliability of results. View example
• Prepare extensive documentation of results.
• Export results as ASCII formatted data.
• Export graphs for use in other programs.