Articles | Volume 17, issue 3
https://doi.org/10.5194/tc-17-1389-2023
https://doi.org/10.5194/tc-17-1389-2023
Research article
 | 
31 Mar 2023
Research article |  | 31 Mar 2023

Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter

Zhaoqing Dong, Lijian Shi, Mingsen Lin, Yongjun Jia, Tao Zeng, and Suhui Wu

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Cited articles

Aaboe, S., Down, E., and Eastwood, S.: Global Sea Ice Edge (OSI-402-d) and Type (OSI-403-d) Validation Report, v3.1, in: SAF/OSI/CDOP3/MET-Norway/SCI/RP/224, EUMETSAT OSISAF–Ocean and Sea Ice Satellite Application Facility, 2021. 
Alexandrov, V., Sandven, S., Wahlin, J., and Johannessen, O. M.: The relation between sea ice thickness and freeboard in the Arctic, The Cryosphere, 4, 373–380, https://doi.org/10.5194/tc-4-373-2010, 2010. 
Andersen, O. B., Knudsen, P., and Stenseng, L.: A New DTU18 MSS Mean Sea Surface – Improvement from SAR Altimetry, 172, in: Proceedings of the 25 years of progress in radar altimetry symposium, Ponta Delgada, São Miguel Island, Portugal, 24–29 September 2018, edited by: Benveniste, J. and Bonnefond, F., Azores Archipelago, Portugal, 172, 24–26, https://orbit.dtu.dk/en/publications/a-new-dtu18-mss-mean-sea-surface-improvement-from-sar-altimetry (last access: 30 June 2022), 2018a. 
Andersen, O. B., Rose, S. K., Knudsen, P., and Stenseng, L.: The DTU18 MSS Mean Sea Surface Improvement from SAR Altimetry, in: International Symposium of Gravity, Geoid and Height Systems (GGHS) 2, The second joint meeting of the International Gravity Field Service and Commission 2 of the International Association of Geodesy, Copenhagen, Denmark, 17–21, https://orbit.dtu.dk/en/publications/a-new-dtu18-mss-mean-sea-surface-improvement-from-sar-altimetry (last access: 30 June 2022, 2018b. 
Beaven, S. G., Lockhart, G. L., Gogineni, S. P., Hossetnmostafa, A. R., Jezek, K., Gow, A. J., Perovich, D. K., Fung, A. K., and Tjuatja, S.: Laboratory measurements of radar backscatter from bare and snow covered saline ice sheets, Int. J. Remote Sens., 16, 851–876, https://doi.org/10.1080/01431169508954448, 1995. 
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Short summary
We try to explore the application of SGDR data in polar sea ice thickness. Through this study, we find that it seems difficult to obtain reasonable results by using conventional methods. So we use the 15 lowest points per 25 km to estimate SSHA to retrieve more reasonable Arctic radar freeboard and thickness. This study also provides reference for reprocessing L1 data. We will release products that are more reasonable and suitable for polar sea ice thickness retrieval to better evaluate HY-2B.
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