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Example For Binning

WindDataSuite implements a module for binning data.
The following quantities can be calculated for each bin (binning interval): Frequencies, relative frequencies, availabilities, data counts, means, any quantiles, and standard deviations.
1-dimensional, 2-dimensional, and 3-dimensional binning can be calculated.
Each of the binning dimensions can consist of any data parameter and/or of a time variable as year, month, and hour.
Complete height profiles as well as distinct measuring heights can be binned.
All binning can also be calculated wind direction sector specifically.
In the following example, the means and frequencies of the 2-dimensional binning wind speed versus wind direction has been calculated in all measuring heights:
Fig.1 shows the mean wind speeds in all measuring heights in the particular wind direction sectors in a wind rose in form of polygons.
Fig.2 shows the mean wind speeds in 120 m height in the particular wind direction sectors in a wind rose in form of slices.
Fig.3 shows the frequency distributions of the wind speed, summed up over all measuring heights, in the particular wind direction sectors in a wind rose in form of bars, with a frequency of 0 for calm winds and baffling winds.
Fig.4 shows the frequency distributions of the wind speed in 120 m height in the particular wind direction sectors in a wind rose in form of slices.

Fig.1 Means Fig.2 Mean 120m
Fig.1: Means of the wind speeds Fig.2: Means of the wind speed in 120 m height
Fig.3 Wind rose all heights Fig.4 Wind rose 120m
Fig.3: Wind rose over all heights Fig.4: Wind rose in 120 m height
 
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Data range : 1 year (365 days), sampling rate 10 minutes
Processed channels : 31 height levels of wind speed
31 height levels of wind direction
Computing time : approx. 2 seconds
Processing time : approx. 1 minute