7 years of Micro Rain Radar (METEK MRR-2) data at the Dumont d'Urville station, coastal Adélie Land, Antarctica

DOI

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). 7 years of MRR (Micro Rain Radar) data from November 2015 to April 2023 included are gathered, ranging from 300 m to 3000 m a.g.l. with a vertical resolution of 100 m.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) 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, that could for instance be used for climate model evaluation along the vertical. Wiener et al. (2023) 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 snow gauge are also available to enable users to derive their own Z-S relation with different processing steps.

File description:Zipped files MRR_DDU_1min_[year].nc contain the Micro Rain Radar (MRR) source variables: equivalent reflectivity in dBz, mean Doppler velocity in m/s, signal-to-noise ratio in dB and a quality flag detailed in the metadata. The temporal resolution is 1 minute, data ranges from late November 2015 to April 2023 included and from 300 m to 3000 m a.g.l. with a vertical resolution of 100 m.The file MRR_DDU_1hr_snowfall.nc contains the MRR precipitation profiles in mm/hr computed with the local Z-S relation Z = 43.4*S^0.89 using a colocated snow gauge (see Wiener et al. 2023). Absence of precipitation signals and gaps in the data are filled with NaNs.The zipped file Pluvio_DDU_1min_2015-2023.nc gathers the snow gauge data used in the computation of the Z-S relation, to enable users to derive their own Z-S relation with different processing steps.

Identifier
DOI https://doi.org/10.1594/PANGAEA.962727
Related Identifier https://doi.org/10.5194/essd-10-1605-2018
Related Identifier https://doi.org/10.5194/amt-5-2661-2012
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.962727
Provenance
Creator Wiener, Valentin; Genthon, Christophe ORCID logo; Berne, Alexis ORCID logo
Publisher PANGAEA
Publication Year 2023
Funding Reference Institut Polaire Français Paul Emile Victor https://doi.org/10.13039/501100004796 Crossref Funder ID 1013 Antartic field data for CALibration and VAlidation of meteorological and climate models and satellite retrievals, Antarctic Coast to Dome C; Institut Polaire Français Paul Emile Victor https://doi.org/10.13039/501100004796 Crossref Funder ID 1143 https://awaca.ipsl.fr/en/atmospheric-water-cycle-over-antarctica/ APRES3: Antarctic Precipitation, Remote Sensing from Surface and Space
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 22 data points
Discipline Earth System Research
Spatial Coverage (140.017 LON, -66.667 LAT); Adelie Land