1 research outputs found
Uncertainty Model For Quantitative Precipitation Estimation Using Weather Radars
This paper introduces an uncertainty model for
the quantitatively estimate precipitation using weather radars.
The model considers various key aspects associated to radar
calibration, attenuation, and the tradeoff between accuracy
and radar coverage. An S-band-radar case study is presented to
illustrate particular fractional-uncertainty calculations obtained
to adjust various typical radar-calibration elements such as
antenna, transmitter, receiver, and some other general elements
included in the radar equation. This paper is based in âGuide to
the expression of Uncertainty in measurementâ [1] and the results
show that the fractional uncertainty calculated by the model was
40 % for the reflectivity and 30% for the precipitation using the
Marshall Palmer Z-R relationship