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Millimeter Wave (mmWave) communications have been in the focus of the research community, not only due to its advantages but also due to the influence that various factors like the weather variations or vegetation, have on signal propagation. The presence of any kind of precipitation, liquid (rain) or solid (particularly wet snow), in the transmission medium is observed to have a high impact on signal attenuation. In order to estimate the attenuation from these weather variations, fading prediction methods have been developed and standardized. This thesis analyzes the impact of rain and wet snow on the radio links at 60 GHz, using the channel model simulator developed by the NYU WIRELESS (NYUSIM), and the fading prediction methods developed by the International Telecommunication Union (ITU). The implemented prediction methods are integrated into the channel model simulator to analyze the attenuation on the radio links through various simulations. The simulation results show that the influence of rain and wet snow is low at very short communication distances and becomes crucial only when the communication distance increases.