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

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.

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Published
2026-10-30
DOI
https://doi.org/10.5194/egusphere-2026-6639
Primary Topic
Precipitation Measurement and Analysis
Type
preprint

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preprint

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

Giacomo Roversi, Hajime Okamoto, Alessandro Bracci, Luca Baldini et al.
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Precipitation Measurement and Analysis
preprint

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

Giacomo Roversi, Hajime Okamoto, Alessandro Bracci, Luca Baldini, Kaori Sato
preprint en

Abstract

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.

Kyushu University (JP), Ca' Foscari University of Venice (IT), Institute of Atmospheric Sciences and Climate (IT), National Research Council (IT), Research Institute for Applied Mechanics, Kyushu University (JP)
Agenzia Spaziale Italiana, Consiglio Nazionale delle Ricerche, Università Ca' Foscari di Venezia, Ministero dell'Università e della Ricerca, Japan Society for the Promotion of Science, Japan Aerospace Exploration Agency, Research Institute for Applied Mechanics, Kyushu University
Climate action
Precipitation Measurement and Analysis
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