Preprints
https://doi.org/10.5194/egusphere-2025-2329
https://doi.org/10.5194/egusphere-2025-2329
11 Jun 2025
 | 11 Jun 2025
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Snow Water Equivalent Retrieval and Analysis Over Altay Using 12-Day Repeat-Pass Sentinel-1 Interferometry

Jingtian Zhou, Yang Lei, Jinmei Pan, Cunren Liang, Yunjun Zhang, Weiliang Li, Chuan Xiong, and Jiancheng Shi

Abstract. Accurate Snow Water Equivalent (SWE) estimation is significant for understanding global climate change, surface energy balance, and regional water cycles. However, although there have been many studies on the inversion of SWE using active and passive microwave remote sensing, it remains challenging to assess the global distribution of SWE with sufficient temporal and spatial resolution and accuracy. Interferometric Synthetic Aperture Radar (InSAR) has become a promising technique for SWE change estimation, which is limited by the optimal radar frequencies and revisit intervals that have not been available until recently. In this study, 12-day Sentinel-1 C-band InSAR data from 2019 to 2021 are used to retrieve ΔSWE (SWE changes in one InSAR pair) and cumulative SWE in the Altay region of Xinjiang, China. The correlation between the retrieved ΔSWE and in-situ observations reaches R=0.48, with a low RMSE of 15.5 mm (n=241) throughout the two whole snow seasons, improving to R=0.47 and RMSE of 15.9 mm for 2019–2020, and R=0.51 and RMSE of 14.8 mm for 2020–2021. These results are achieved without filtering for low coherence or high temperatures. Heavy snowfall leads to decorrelation and phase unwrapping errors, which affect ΔSWE retrieval and are propagated into cumulative SWE. Validation of the cumulative SWE after removing wet snow yields an RMSE of 36.5 mm, which improves to 28.4 mm when high-elevation stations with unwrapping errors due to heavy snowfall are also excluded. InSAR-derived cumulative SWE time series show consistency with ground observations at some stations, though slight overestimations and underestimations are observed due to error accumulation. Various factors combined with validation results show that higher coherence, lower air temperature, and reliable snow density improve the retrieval accuracy. The proposed phase calibration method demonstrates that selecting at least half of the available in-situ ΔSWE values for calibration yields reliable ΔSWE estimates. Calibrating only the integer multiples of 2π provides reasonable accuracy, but is still inferior to the full calibration method, indicating that residual modulo 2π phase has a noticeable contribution to the final inversion accuracy, which highlights that phase calibration plays a key role in the accurate ΔSWE retrieval. This study provides a valuable reference and processing prototype for applying 12-day revisit Sentinel-1 and future NISAR InSAR data to SWE monitoring.

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 preprint. The responsibility to include appropriate place names lies with the authors.
Share
Jingtian Zhou, Yang Lei, Jinmei Pan, Cunren Liang, Yunjun Zhang, Weiliang Li, Chuan Xiong, and Jiancheng Shi

Status: open (until 27 Jul 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Jingtian Zhou, Yang Lei, Jinmei Pan, Cunren Liang, Yunjun Zhang, Weiliang Li, Chuan Xiong, and Jiancheng Shi
Jingtian Zhou, Yang Lei, Jinmei Pan, Cunren Liang, Yunjun Zhang, Weiliang Li, Chuan Xiong, and Jiancheng Shi

Viewed

Total article views: 191 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
146 35 10 191 4 9
  • HTML: 146
  • PDF: 35
  • XML: 10
  • Total: 191
  • BibTeX: 4
  • EndNote: 9
Views and downloads (calculated since 11 Jun 2025)
Cumulative views and downloads (calculated since 11 Jun 2025)

Viewed (geographical distribution)

Total article views: 191 (including HTML, PDF, and XML) Thereof 191 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Jul 2025
Download
Short summary
Understanding how much water is stored in snow is important for tracking climate change and managing water supply. This study used satellite radar data from 2019 to 2021 to measure snow water changes in a mountain region of China. The results matched ground data well, especially in cold, dry conditions without heavy snowfall. A new phase calibration method helped improve accuracy, offering a useful reference for global snow monitoring using widely available satellite data.
Share