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  • 1
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    PANGAEA
    In:  Supplement to: Grazioli, Jacopo; Genthon, Christophe; Boudevillain, Brice; Durán-Alarcón, Claudio; Del Guasta, Massimo; Madeleine, Jean-Baptiste; Berne, Alexis (2017): Measurements of precipitation in Dumont d'Urville, Adélie Land, East Antarctica. The Cryosphere, 11(4), 1797-1811, https://doi.org/10.5194/tc-11-1797-2017
    Publication Date: 2023-05-06
    Description: The first results of a campaign of intensive observation of precipitation in Dumont d'Urville, Antarctica, are presented. Several instruments collected data from November 2015 to February 2016 or longer, including a polarimetric radar (MXPol), a Micro Rain Radar (MRR), a weighing gauge (Pluvio2), and a Multi-Angle Snowflake Camera (MASC). These instruments collected the first ground-based measurements of precipitation in the region of Adélie Land (Terre Adélie), including precipitation microphysics. Microphysical observations during the austral summer 2015/2016 showed that, close to the ground level, aggregates are the dominant hydrometeor type, together with small ice particles (mostly originating from blowing snow), and that riming is a recurring process. Eleven percent of the measured particles were fully developed graupel, and aggregates had a mean riming degree of about 30%. Spurious precipitation in the Pluvio2 measurements in windy conditions, leading to phantom accumulations, is observed and partly removed through synergistic use of MRR data. The yearly accumulated precipitation of snow (300m above ground), obtained by means of a local conversion relation of MRR data, trained on the Pluvio2 measurement of the summer period, is estimated to be 815mm of water equivalent, with a confidence interval ranging between 739.5 and 989mm. Data obtained in previous research from satellite-borne radars, and the ERA-Interim reanalysis of the European Centre for Medium-Range Weather Forecasts (ECMWF) provide lower yearly totals: 655mm for ERA-Interim and 679mm for the climatological data over DDU. ERA-Interim overestimates the occurrence of low-intensity precipitation events especially in summer, but it compensates for them by underestimating the snowfall amounts carried by the most intense events. Overall, this paper provides insightful examples of the added values of precipitation monitoring in Antarctica with a synergistic use of in situ and remote sensing measurements.
    Keywords: Adelie Land; Dumont_d-Urville; Research station; RS
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 2
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    PANGAEA
    In:  Supplement to: Durán-Alarcón, Claudio; Boudevillain, Brice; Genthon, Christophe; Grazioli, Jacopo; Souverijns, Niels; van Lipzig, Nicole P M; Gorodetskaya, Irina V; Berne, Alexis (2019): The vertical structure of precipitation at two stations in East Antarctica derived from micro rain radars. The Cryosphere, 13(1), 247-264, https://doi.org/10.5194/tc-13-247-2019
    Publication Date: 2023-05-06
    Description: Antarctic precipitation is the main positive component in the surface mass balance of the Antarctic ice sheet, thus it is closely related to the evolution of the sea level worldwide. The lack of observations, at both surface and the vertical structure, have hindered the understanding of this important component. Recently a study of the vertical structure of the precipitation in Antarctica have been carried out using micro rain radar (MRR) observations (Durán-Alarcón et al., 2019, TC) at two different sites: Dumont d'Urville (DDU) and Princess Elisabeth (PE) stations. The present collection consists in 2-years of vertical profiles of effective reflectivity (Ze), mean Doppler velocity (W), spectral width (SW) and snowfall rate (S) derived from a K-band vertically-pointing micro rain radar (MRR), obtained at DDU in the framework of the Antarctic Precipitation Remote Sensing from Surface and Space project (APRES3). The observation range of the profiles is between 300 m and 3 km above ground level, with 100m and 1h of vertical and temporal resolutions, respectively. Vertical profiles were separated into surface precipitation and virga (i.e., precipitation that completely sublimes before reaching the surface) to evaluate the impact of virga on the structure of the vertical profiles. The strong katabatic winds blowing at DDU induce a decrease in Ze near to the ground due to the sublimation of the snowfall particles, and the W and SW increases as the height decreases. It was observed that virga is a frequent phenomenon at DDU, since more than a third (36%) of the profiles of precipitation observed with MRR corresponded to virga cases (more details in Durán-Alarcón et al., 2019, TC). This unique dataset of Antarctic precipitation observations in the low troposphere represents a great opportunity to better understand the current numerical models and satellite observations.
    Keywords: Adelie Land; Antarctic Precipitation; Dumont_d-Urville; Research station; RS; vertically-pointing micro rain radar (MRR); Vertical Structure of Precipitation
    Type: Dataset
    Format: application/x-netcdf, 10.9 MBytes
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  • 3
    Publication Date: 2023-05-06
    Keywords: Adelie Land; Dumont_d-Urville; Research station; RS
    Type: Dataset
    Format: application/zip, 344.3 kBytes
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  • 4
    Publication Date: 2023-05-06
    Keywords: Adelie Land; Dumont_d-Urville; Research station; RS
    Type: Dataset
    Format: application/zip, 11.4 MBytes
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  • 5
    Publication Date: 2023-05-06
    Keywords: Adelie Land; Dumont_d-Urville; Research station; RS
    Type: Dataset
    Format: application/zip, 103.7 kBytes
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  • 6
    Publication Date: 2023-05-06
    Keywords: Adelie Land; DATE/TIME; Dumont_d-Urville; Humidity, relative; Pressure, atmospheric; Research station; RS; Temperature, air; Vaisala Weather station WXT520; Wind direction; Wind speed; Wind speed, maximum; Wind speed, minimum
    Type: Dataset
    Format: text/tab-separated-values, 932246 data points
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  • 7
    Publication Date: 2023-07-10
    Keywords: Accumulation of snowfall in water equivalent per minute; Adelie Land; DATE/TIME; Dumont_d-Urville; Research station; RS
    Type: Dataset
    Format: text/tab-separated-values, 105676 data points
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