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7 years of Micro Rain Radar (METEK MRR-2) data at the Dumont d'Urville station, coastal Adélie Land, Antarctica. 
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This dataset presents data from a precipitation radar (METEK MRR-2) deployed in late 2015 at the Dumont d'Urville station located on the Petrels Island, coastal Adélie Land, East Antarctica (longitude 140.0014, latitude -66.6628, elevation 41m) in the context of the APRES3 project (Antarctic Precipitation, Remote Sensing from Surface and Space, see Genthon et al 2018, https://doi.org/10.5194/essd-10-1605-2018) . 7 years of MRR (Micro Rain Radar) data from November 2015 to April 2023 included are gathered, ranging from 300m to 3000m a.g.l. with a vertical resolution of 100m.
Files attached contain the 1-min MRR source variables (radar reflectivity, Doppler velocity, signal-to-noise ratio and a quality flag) computed with the Maahn and Kollias 2012 (https://doi.org/10.5194/amt-5-2661-2012) algorithm in zipped netCDF format. Approximately 6% of timesteps are missing due to maintenance operations or power outages. Profiles are filled with NaNs when no precipitation signal is detected.
This dataset also contains the MRR hourly precipitation profile estimates in mm/hr (MRR_DDU_1hr_snowfall.nc), that could for instance be used for climate model evaluation along the vertical. Wiener et al 2023 (in writing) presents and analyses the 7 years of data, and particularly details the processing steps used to obtain the MRR precipitation profiles by means of a local Z-S relation with a colocated snow-gauge. 1-min data from the gauge (zipped Pluvio_DDU_1min_2015-2023.nc) and hourly wind speed and temperature from Météo-France observations (MTO_DDU_1hr_2015-2023.nc) are also available to enable users to derive their own Z-S relation with different processing steps and filters.
The processing code in python used in Wiener et al 2023 to derive the Ze-S relation is also attached as a Jupyter Notebook.