Preprints
https://doi.org/10.5194/egusphere-2026-6639
https://doi.org/10.5194/egusphere-2026-6639
30 Oct 2026
 | 30 Oct 2026
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Virga hidden within the blind zone of spaceborne radars: implications for surface snowfall estimates in coastal East Antarctica

Giacomo Roversi, Alessandro Bracci, Hajime Okamoto, Kaori Sato, and Luca Baldini

Abstract. Antarctic snowfall is the main mass input to the Antarctic Ice Sheet, and its estimate relies mainly on satellite remote sensing. Unfortunately, because of ground clutter, the two W-band Cloud Profiling Radars (CPRs) on board CloudSat (NASA, 2006–2023) and EarthCARE (ESA–JAXA, 2024–ongoing) cannot reliably observe the lowest ~1000 m and ~500 m of atmosphere respectively ("blind zone"). Surface snowfall must then be estimated by assuming that what is detected aloft reaches the ground. But in katabatic-driven coastal East Antarctica this assumption is frequently violated by virga, precipitation that sublimates completely before reaching the surface. We analyse four years (2020–2021, 2023–2024) of vertical Doppler radar profiles (MRR-2, 24 GHz) and co-located optical disdrometer data at the Italian Mario Zucchelli Station. We identify virga profiles when hydrometeors detected aloft produce no signal at the lowest radar gate (105 m) or in the disdrometer. Virga accounts for 38 % of the hydrometeor-bearing columns. At the EarthCARE-like lowest observable heights, part of the virga becomes indistinguishable from precipitation and the four-year surface accumulation is overestimated by 29–30 % (up to 34 % switching to CloudSat). ERA5 reproduces the dry layer but still deposits snowfall in 90 % of the virga hours, accumulating on average 156 mm yr⁻¹ against 53–106 mm yr⁻¹ from the radar-based estimates. These results quantify the blind-zone impact at a coastal Antarctic site, sampling unprecedentedly close to the ground, and establish the ground-based classification, released as an open-source package, as a transferable constraint for satellite and reanalysis products.

Competing interests: At least one of the (co-)authors is a guest member of the editorial board of Atmospheric Measurement Techniques for the special issue “Early results from EarthCARE (AMT/ACP/GMD inter-journal SI)". The authors have no other competing interests to declare.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Giacomo Roversi, Alessandro Bracci, Hajime Okamoto, Kaori Sato, and Luca Baldini

Status: open (until 05 Dec 2026)

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Giacomo Roversi, Alessandro Bracci, Hajime Okamoto, Kaori Sato, and Luca Baldini
Giacomo Roversi, Alessandro Bracci, Hajime Okamoto, Kaori Sato, and Luca Baldini

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Short summary
Satellites are the main source of snowfall data over Antarctica, but their radars cannot see the lowest few hundred metres of air. Four years of ground-based radar measurements at an Italian coastal station show that 38 % of the snow falling from the clouds turns back into vapour before it lands. A satellite counts part of it as snow reaching the ground, and overestimates the four-year total by up to 34 %. Measurements of this kind offer a way to correct satellite and weather-model estimates.
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