This work investigates signal attenuation in weather radars and its practical implications for Quantitative Precipitation Estimation (QPE), a key step for hydrological modeling and risk management. Radar attenuation, caused by absorption and scattering of the electromagnetic waves by hydrometeors along the propagation path, leads to reflectivity underestimation and consequently to biased QPEs. The magnitude of this effect depends on radar frequency as well as on microphysical properties of precipitation, including drop size distribution (DSD), particle orientation, and temperature. Dual-polarization radars transmit and receive electromagnetic waves at different polarizations, typically horizontal and vertical, providing additional variables that enable attenuation correction. In particular, the differential phase shift (Φdp), which arises from the difference in propagation velocity between horizontally and vertically polarized waves, is proportional to the path-integrated attenuation and therefore represents a robust variable for quantifying and correcting the signal degradation.