A decade-plus of Antarctic sea ice thickness and volume estimates from CryoSat-2 using a physical model and waveform fitting
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Published:2023-06-23
Issue:6
Volume:17
Page:2487-2508
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ISSN:1994-0424
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Container-title:The Cryosphere
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language:en
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Short-container-title:The Cryosphere
Author:
Fons Steven, Kurtz Nathan, Bagnardi MarcoORCID
Abstract
Abstract. We estimate the snow depth and snow freeboard of Antarctic sea ice using a comprehensive retrieval method (referred to as CryoSat-2 Waveform Fitting for Antarctic sea ice, or CS2WFA) consisting of a physical waveform model and a waveform-fitting process that fits modeled waveforms to CryoSat-2 data.
These snow depth and snow freeboard estimates are combined with snow, sea ice, and sea water density values to calculate the sea ice thickness and volume over an 11+ year span between 2010 and 2021. We first compare our snow freeboard, snow depth, and sea ice thickness estimates to other altimetry- and ship-based observations and find good agreement overall in both along-track and monthly gridded comparisons. Some discrepancies exist in certain regions and seasons that are theorized to come from both sampling biases and the differing assumptions in the retrieval methods. We then present an 11+ year time series of sea ice thickness and volume both regionally and pan-Antarctic. This time series is used to uncover intra-decadal changes in the ice cover between 2010 and 2021, showing small, competing regional thickness changes of less than 0.5 cm yr−1 in magnitude.
Finally, we place these thickness estimates in the context of a longer-term, snow freeboard-derived, laser–radar sea ice thickness time series that began with NASA's Ice, Cloud, and land Elevation Satellite (ICESat) and continues with ICESat-2 and contend that reconciling and validating this longer-term, multi-sensor time series will be important in better understanding changes in the Antarctic sea ice cover.
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
Reference74 articles.
1. Arthern, R. J., Wingham, D. J., and Ridout, A. L.: Controls on ERS altimeter
measurements over ice sheets: Footprint-scale topography, backscatter
fluctuations, and the dependence of microwave penetration depth on satellite
orientation, J. Geophys. Res.-Atmos., 106,
33471–33484, https://doi.org/10.1029/2001JD000498, 2001. a 2. 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. a, b 3. Brown, G. S.: The average impulse response of a rough surface and Its
applications, IEEE J. Oceanic Eng., 2, 67–74,
https://doi.org/10.1109/JOE.1977.1145328, 1977. a 4. Buynitskiy, V. K.: Structure, principal properties and strength of Antarctic
sea ice, Sov. Antarct. Exped. Inf. Bull., 65, 504–510, 1967. a, b 5. Comiso, J. C.: Bootstrap sea ice concentrations from Nimbus-7 SMMR and DMSP
SSM/I-SSMIS, version 3, NASA National Snow and Ice Data Center Distributed Active Archive Center [data set], https://doi.org/10.5067/7Q8HCCWS4I0R, 2017. a
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