Preprints
https://doi.org/10.5194/egusphere-2025-2900
https://doi.org/10.5194/egusphere-2025-2900
06 Aug 2025
 | 06 Aug 2025

Brief communication: Estimating Antarctic surface melt rates using passive microwave data calibrated with weather station observations

Valeria Di Biase, Peter Kuipers Munneke, Bert Wouters, Michiel R. van den Broeke, and Maurice van Tiggelen

Abstract. We present a dataset of Antarctic annual surface melt rates (6.25 km resolution, 2012–2021) from 19 GHz Special Sensor Microwave Imager/Sounder (SSMIS). First, melt occurrence is detected via thresholds for brightness temperature, diurnal variation, and winter anomaly, calibrated with Automatic Weather Station (AWS) data. Second, AWS-driven surface energy balance modeling yields an empirical relation between annual melt days and water-equivalent melt volume. SSMIS-derived melt volumes show good agreement with AWS-based melt estimates (R2 = 0.83). Compared to QuikSCAT and RACMO2.4 outputs, SSMIS captures a similar spatial melt pattern but estimates a total melt volume approximately 15 % lower than RACMO, on the decadal average.

Competing interests: At least one of the (co-)authors is a member of the editorial board of The Cryosphere. The peer-review process was guided by an independent editor, and the authors also 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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Journal article(s) based on this preprint

07 Jan 2026
Estimating Antarctic surface melt rates using passive microwave data calibrated with weather station observations
Valeria Di Biase, Peter Kuipers Munneke, Bert Wouters, Michiel R. van den Broeke, and Maurice van Tiggelen
The Cryosphere, 20, 87–96, https://doi.org/10.5194/tc-20-87-2026,https://doi.org/10.5194/tc-20-87-2026, 2026
Short summary
Valeria Di Biase, Peter Kuipers Munneke, Bert Wouters, Michiel R. van den Broeke, and Maurice van Tiggelen

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-2900', Anonymous Referee #1, 22 Sep 2025
    • AC1: 'Reply on RC1', Valeria Di Biase, 06 Nov 2025
  • RC2: 'Comment on egusphere-2025-2900', Anonymous Referee #2, 24 Sep 2025
    • AC2: 'Reply on RC2', Valeria Di Biase, 06 Nov 2025

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-2900', Anonymous Referee #1, 22 Sep 2025
    • AC1: 'Reply on RC1', Valeria Di Biase, 06 Nov 2025
  • RC2: 'Comment on egusphere-2025-2900', Anonymous Referee #2, 24 Sep 2025
    • AC2: 'Reply on RC2', Valeria Di Biase, 06 Nov 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Publish subject to minor revisions (review by editor) (19 Nov 2025) by Marie Dumont
AR by Valeria Di Biase on behalf of the Authors (28 Nov 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (01 Dec 2025) by Marie Dumont
AR by Valeria Di Biase on behalf of the Authors (03 Dec 2025)  Manuscript 

Journal article(s) based on this preprint

07 Jan 2026
Estimating Antarctic surface melt rates using passive microwave data calibrated with weather station observations
Valeria Di Biase, Peter Kuipers Munneke, Bert Wouters, Michiel R. van den Broeke, and Maurice van Tiggelen
The Cryosphere, 20, 87–96, https://doi.org/10.5194/tc-20-87-2026,https://doi.org/10.5194/tc-20-87-2026, 2026
Short summary
Valeria Di Biase, Peter Kuipers Munneke, Bert Wouters, Michiel R. van den Broeke, and Maurice van Tiggelen

Data sets

Annual Antarctic Surface Melt Maps (2011–12 to 2020–21) from SSMIS 19 GHz V. Di Biase https://doi.org/10.5281/zenodo.16738423

Valeria Di Biase, Peter Kuipers Munneke, Bert Wouters, Michiel R. van den Broeke, and Maurice van Tiggelen

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
We produce annual maps of Antarctic surface melt volumes from 2012 to 2021 using satellite microwave data. We detect melting days from thresholds on the satellite signal and then use actual melt measurements from weather stations to convert those signals into water‑equivalent volumes. Our maps capture known melt hotspots and show slightly lower totals than climate models. This dataset supports climate and ice‑shelf studies.
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