Example

for binning

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 binnings
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 binnings 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 of the wind speeds

Fig.2:

Means of the wind speed in 120 m height

Fig.3:

Wind rose over all heights

Fig.4:

Wind rose in 120 m height

1 year (365 days), sampling rate 10 minutes

31 height levels of wind speed

31 height levels of wind direction

31 height levels of wind direction

approx. 2 seconds

approx. 1 minute