Local rainfall measurements can be done in a significant range of methods which rely on very different underlying measurement concepts and assumptions. As an illustration, mechanical rain gauges collect small rainfall amounts; optical disdrometers assess size and velocity of each drop passing through a sampling area, while  Doppler sensors derive a rain rate from estimated average fall velocity. Hence, the quality of the measurements can vary a lot, depending on factors such as rain drop size, wind velocity, rain rate etc. Understanding the differences between various technologies enables us to determine the most reliable device depending on each raining condition. This research aims to compare the performance of two of those devices: the optical disdrometer Parsivel2 (manufactured by OTT) and a mini Doppler radar part of a mini Meteorological Station (manufactured by Thies). The comparison was done with two research focuses: by evaluating the scaling features of the fields measured by both instruments utilizing the framework of Universal Multifractals (UM) to have a performance assessment valid across scales and not only separated scales, and by analyzing the influence of physical parameters namely drop size, wind velocity and rainfall rate in the performance of the devices.The data used was collected on a meteorological mast located in the Pays d’Othe wind farm, 110km southeast of Paris. This measurement campaign is part of the RW-Turb project (https://hmco.enpc.fr/portfolio-archive/rw-turb/; supported by the French National Research Agency (ANR-19-CE05-0022). The mast is operated with two sets of devices, one around 75m in height and the other around 45m. The observation time step of the Parsivel2 is of 30 seconds, and it measures full binned drop size and velocity distribution, while the mini station provides data (rainfall, 2D wind, temperature, pressure, humidity) with 1 second time step. In general, the mini-doppler radar is found to measure a smaller amount of rain with regards to the  Parsivel2. More precisely, we found that the mini doppler radar returned very low rain measurements when subjected to rain conditions with a bigger mean drop size (Dm), and that heavy wind was related to a non-detection of the field in situations with light rain. Scaling analysis enabled us to show that mini Doppler radar exhibited white noise from observation scale smaller than 4s. Hence, it was used only with large time steps. UM analysis also revealed different scaling behaviour for mini Doppler radar rain data at finer temporal resolution than that of Parsivel (30 s).