Wiener, Valentin; Genthon, Christophe; Berne, Alexis (2023): 7 years of Micro Rain Radar (METEK MRR-2) data at the Dumont d'Urville station, coastal Adélie Land, Antarctica [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.962727
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
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.
Supplement to:
Wiener, Valentin (in prep.): A 7-year record of vertical profiles of radar measurements and precipitation estimates at Dumont d'Urville, Adélie Land, East Antarctica.
References:
Genthon, Christophe; Berne, Alexis; Grazioli, Jacopo; Durán-Alarcón, Claudio; Praz, Christophe; Boudevillain, Brice (2018): Precipitation at Dumont d'Urville, Adélie Land, East Antarctica: the APRES3 field campaigns dataset. Earth System Science Data, 10(3), 1605-1612, https://doi.org/10.5194/essd-10-1605-2018
Maahn, Maximilian; Kollias, Pavlos (2012): Improved Micro Rain Radar snow measurements using Doppler spectra post-processing. Atmospheric Measurement Techniques, 5(11), 2661-2673, https://doi.org/10.5194/amt-5-2661-2012
Project(s):
Funding:
Institut Polaire Français Paul Emile Victor (IPEV), grant/award no. 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 (IPEV), grant/award no. 1143: APRES3: Antarctic Precipitation, Remote Sensing from Surface and Space
Coverage:
Latitude: -66.666700 * Longitude: 140.016700
Event(s):
Comment:
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.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | netCDF file | netCDF | Wiener, Valentin | |||
| 2 | netCDF file (File Size) | netCDF (Size) | Bytes | Wiener, Valentin | ||
| 3 | netCDF file (MD5 Hash) | netCDF (Hash) | Wiener, Valentin | |||
| 4 | File content | Content | Wiener, Valentin |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
22 data points
Data
All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.
| 1 netCDF | 2 netCDF (Size) [Bytes] | 3 netCDF (Hash) | 4 Content |
|---|---|---|---|
| MRR_DDU_1hr_snowfall.nc | 15.9 MBytes | d067c5b1ba18ce8a95af747839282b4c | MRR precipitation profiles |
| MRR_DDU_1min_2015.zip | 3.8 MBytes | 0ff0dc4373cad2809518ef2db4158059 | Micro Rain Radar (MRR) source variables, 2015 |
| MRR_DDU_1min_2016.zip | 46.5 MBytes | f23b71c5671d44d4af21a6c9e1698c7e | Micro Rain Radar (MRR) source variables, 2016 |
| MRR_DDU_1min_2017.zip | 44.1 MBytes | 11e689d04d1cb3fe865b1a8a53745f10 | Micro Rain Radar (MRR) source variables, 2017 |
| MRR_DDU_1min_2018.zip | 42.7 MBytes | 86f7043b53ebf1be7aeb7c22f5f9e261 | Micro Rain Radar (MRR) source variables, 2018 |
| MRR_DDU_1min_2019.zip | 47 MBytes | 2ccd44147b224a3c8fd290c370fdf9fa | Micro Rain Radar (MRR) source variables, 2019 |
| MRR_DDU_1min_2020.zip | 30 MBytes | 45a765672919a6a406404e4dfd62f6b8 | Micro Rain Radar (MRR) source variables, 2020 |
| MRR_DDU_1min_2021.zip | 41.2 MBytes | 38fd941088f8be3507d1823770516e6a | Micro Rain Radar (MRR) source variables, 2021 |
| MRR_DDU_1min_2022.zip | 44.3 MBytes | e2f48bdb7d4c7d83afa81073d058f8d1 | Micro Rain Radar (MRR) source variables, 2022 |
| MRR_DDU_1min_2023.zip | 24.7 MBytes | 3409526310e6272a6ca3d2c652d0223a | Micro Rain Radar (MRR) source variables, 2023 |
| Pluvio_DDU_1min_2015-2023.zip | 7 MBytes | 83d30275de2e1cb991df7e0b5f24d25c | Snow gauge data used in the computation of the Z-S relation |