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.
1dimensional, 2dimensional, and 3dimensional 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
2dimensional 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

;
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

