Radar observations supply detailed information about the structure and evolution of precipitation. These observations allow one to evaluate the macro- and/or micro-physical properties of precipitation at high spatial and temporal resolution. This dataset provides a nearly continuous collection of radar observations from a Metek Micro Rain Radar 2 (MRR) in Marquette, Michigan, USA (MQT). The MRR is a relatively low-cost, low-power K-band (24 GHz) profiling radar that scans the atmosphere at a fixed 90° zenith angle (i.e., directly overhead). The MRR in MQT is configured such that observations are provided every minute at a vertical resolution of 100m up to 3000m AGL (note: due to ground clutter, the effective operating range is 400m–3000m AGL). The MRR data are processed using IMProToo (Maahn and Kollias, 2012; https://doi.org/10.5194/amt-5-2661-2012) to increase the sensitivity of the radar to -10 dBZ and are “de-noised” using a principal component analysis method on the MRR raw power spectra to remove interference from a nearby broadcasting tower (Pettersen et al., 2020; https://doi.org/10.1175/JAMC-D-19-0099.1). Within this dataset, users will find observations such as the equivalent reflectivity factor, Doppler velocity, and reflectivity power spectra.
