Articles | Volume 18, issue 9
https://doi.org/10.5194/tc-18-3933-2024
https://doi.org/10.5194/tc-18-3933-2024
Research article
 | 
04 Sep 2024
Research article |  | 04 Sep 2024

AWI-ICENet1: a convolutional neural network retracker for ice altimetry

Veit Helm, Alireza Dehghanpour, Ronny Hänsch, Erik Loebel, Martin Horwath, and Angelika Humbert

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Cited articles

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Adodo, F. I., Remy, F., and Picard, G.: Seasonal variations of the backscattering coefficient measured by radar altimeters over the Antarctic Ice Sheet, The Cryosphere, 12, 1767–1778, https://doi.org/10.5194/tc-12-1767-2018, 2018. a
Amarouche, L., Thibaut, P., Zanife, O. Z., Dumont, J.-P., Vincent, P., and Steunou, N.: Improving the Jason-1 Ground Retracking to Better Account for Attitude Effects, Marine Geodesy, 27, 171–197, https://doi.org/10.1080/01490410490465210, 2004. a
Armitage, T. W. K., Wingham, D. J., and Ridout, A. L.: Meteorological Origin of the Static Crossover Pattern Present in Low-Resolution-Mode CryoSat-2 Data Over Central Antarctica, IEEE Geosci. Remote Sens. Lett., 11, 1295–1299, https://doi.org/10.1109/LGRS.2013.2292821, 2014. a, b
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We present a new approach (AWI-ICENet1), based on a deep convolutional neural network, for...
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