- wradlib.qual.pulse_volume(ranges, h, theta)[source]#
Calculates the sampling volume of the radar beam per bin depending on range and aperture.
We assume a cone frustum which has the volume \(V=(\pi/3) \cdot h \cdot (R^2 + R \cdot r + r^2)\). R and r are the radii of the two frustum surface circles. Assuming that the pulse width is small compared to the range, we get \(R=r= \tan ( 0.5 \cdot \theta \cdot \pi/180 ) \cdot range\) with theta being the aperture angle (beam width). Thus, the pulse volume simply becomes the volume of a cylinder with \(V=\pi \cdot h \cdot range^2 \cdot \tan( 0.5 \cdot \theta \cdot \pi/180)^2\)
numpy.ndarray) – the distances of each bin from the radar [m]
float) – pulse width (which corresponds to the range resolution [m])
float) – the aperture angle (beam width) of the radar beam [degree]
numpy.ndarray) – Volume of radar bins at each range in ranges [\(m^3\)]
See Recipe #1: Clutter and attenuation correction plus composition for two DWD radars.