The Cryosphere
The Cryosphere
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Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/tc-17-349-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-349-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Research article
 | 
24 Jan 2023
Research article |  | 24 Jan 2023

Ice thickness and water level estimation for ice-covered lakes with satellite altimetry waveforms and backscattering coefficients

Xingdong Li, Di Long, Yanhong Cui, Tingxi Liu, Jing Lu, Mohamed A. Hamouda, and Mohamed M. Mohamed

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Abdul Aziz, O. I. and Burn, D. H.: Trends and variability in the hydrological regime of the Mackenzie River Basin, J. Hydrol., 319, 282–294, https://doi.org/10.1016/j.jhydrol.2005.06.039, 2006. 
Atwood, D. K., Gunn, G. E., Roussi, C., Wu, J., Duguay, C., and Sarabandi, K.: Microwave backscatter from Arctic lake ice and polarimetric implications, IEEE T. Geosci. Remote, 53, 5972–5982, https://doi.org/10.1109/TGRS.2015.2429917, 2015. 
Beckers, J. F., Casey, J. A., and Haas, C.: Retrievals of Lake Ice Thickness From Great Slave Lake and Great Bear Lake Using CryoSat-2, IEEE T. Geosci. Remote, 55, 3708–3720, https://doi.org/10.1109/TGRS.2017.2677583, 2017. 
Cai, Z., Jin, T., Li, C., Ofterdinger, U., Zhang, S., Ding, A., and Li, J.: Is China's fifth-largest inland lake to dry-up? Incorporated hydrological and satellite-based methods for forecasting Hulun lake water levels, Adv. Water Resour., 94, 185–199, https://doi.org/10.1016/j.advwatres.2016.05.010, 2016. 
Cheng, B., Mäkynen, M., Similä, M., Rontu, L., and Vihma, T.: Modelling snow and ice thickness in the coastal Kara Sea, Russian Arctic, Ann. Glaciol., 54, 105–113, https://doi.org/10.3189/2013AoG62A180, 2013. 
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This study blends advantages of altimetry backscattering coefficients and waveforms to estimate ice thickness for lakes without in situ data and provides an improved water level estimation for ice-covered lakes by jointly using different threshold retracking methods. Our results show that a logarithmic regression model is more adaptive in converting altimetry backscattering coefficients into ice thickness, and lake surface snow has differential impacts on different threshold retracking methods.
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