Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry

• Published in: Geophysical research letters Vol. 50; no. 20
• Main Authors: Willatt, Rosemary, Stroeve, Julienne C., Nandan, Vishnu, Newman, Thomas, Mallett, Robbie, Hendricks, Stefan, Ricker, Robert, Mead, James, Itkin, Polona, Tonboe, Rasmus, Wagner, David N., Spreen, Gunnar, Liston, Glen, Schneebeli, Martin, Krampe, Daniela, Tsamados, Michel, Demir, Oguz, Wilkinson, Jeremy, Jaggi, Matthias, Zhou, Lu, Huntemann, Marcus, Raphael, Ian A., Jutila, Arttu, Oggier, Marc
• Format: Journal Article
• Language: English
• Published: Washington John Wiley & Sons, Inc 28.10.2023; Wiley
• Subjects: Airborne radar; Altimeters; Altimetry; Arctic expeditions; Arctic sea ice; climate; Climate change; Climate Science; Depth measurement; Expeditions; Ice; Ice cover; Ice thickness; Information retrieval; Klimatvetenskap; Oceanografi, hydrologi och vattenresurser; Oceanography, Hydrology and Water Resources; polarimetric; Polarimetry; Polarization; Radar; Radar altimeters; Radar altimetry; Radar data; Radiation; Radio altimeters; Satellite altimetry; Satellite radar; Satellites; Sea ice; Sea ice thickness; Shape; Snow; Snow accumulation; Snow depth; Waveforms; Arctic region
• ISSN: 0094-8276; 1944-8007; 1944-8007
• DOI: 10.1029/2023GL104461

Snow depth on sea ice is an Essential Climate Variable and a major source of uncertainty in satellite altimetry‐derived sea ice thickness. During winter of the MOSAiC Expedition, the “KuKa” dual‐frequency, fully polarized Ku‐ and Ka‐band radar was deployed in “stare” nadir‐looking mode to investigate the possibility of combining these two frequencies to retrieve snow depth. Three approaches were investigated: dual‐frequency, dual‐polarization and waveform shape, and compared to independent snow depth measurements. Novel dual‐polarization approaches yielded r2 values up to 0.77. Mean snow depths agreed within 1 cm, even for data sub‐banded to CryoSat‐2 SIRAL and SARAL AltiKa bandwidths. Snow depths from co‐polarized dual‐frequency approaches were at least a factor of four too small and had a r2 0.15 or lower. r2 for waveform shape techniques reached 0.72 but depths were underestimated. Snow depth retrievals using polarimetric information or waveform shape may therefore be possible from airborne/satellite radar altimeters. Plain Language Summary Data collected using a surface‐based radar instrument on sea ice during the MOSAiC Arctic expedition were used to develop new techniques to estimate the depth of the overlying snow. We used different polarizations of the radiation to detect the depths of the upper and lower snow surfaces, and subtracted them to give snow depth. These depths agreed well with an independently collected snow depth data set. Estimates of snow depth using two different radar frequencies were less accurate, whilst using information of the shape of the returning pulse of radiation also showed a relationship with the independent snow depths, though not as strong as the polarization method. These results indicate that polarimetry (using a new satellite mission) and/or waveform shape (using existing missions) could be used to estimate snow depth on sea ice from airborne or satellite platforms. Key Points Novel polarization‐based snow depth estimation techniques were developed using surface‐based Ku‐ and Ka‐band polarimetric radar altimeter data The dominant scattering surface was the air/snow and snow/ice interface in co‐ and cross‐polarized data, respectively, at both frequencies Radar‐derived snow depths agreed with independent measurements, with r2 up to 0.77 and accuracy of 1 cm for best‐performing techniques