Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry
Publication date
2023-10-28
Authors
Willatt, Rosemary
Stroeve, Julienne
Nandan, Vishnu
Newman, Thomas
Mallett, Robbie
Hendricks, Stefan
Ricker, Robert
Mead, James
Itkin, Polona
Tonboe, Rasmus
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Advisors
Supervisors
Document Type
Article
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Abstract
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.
Keywords
altimetry, climate, polarimetric, radar, sea ice, snow, Geophysics, General Earth and Planetary Sciences, SDG 13 - Climate Action
Citation
Willatt, R, Stroeve, J, Nandan, V, Newman, T, Mallett, R, Hendricks, S, Ricker, R, Mead, J, Itkin, P, Tonboe, R, Wagner, D N, Spreen, G, Liston, G, Schneebeli, M, Krampe, D, Tsamados, M, Demir, O, Wilkinson, J, Jaggi, M, Zhou, L, Huntemann, M, Raphael, I A, Jutila, A & Oggier, M 2023, 'Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry', Geophysical Research Letters, vol. 50, no. 20, e2023GL104461. https://doi.org/10.1029/2023gl104461