A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean
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Published:2022-10-21
Issue:10
Volume:16
Page:4473-4490
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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:
Wang Jinfei, Min ChaoORCID, Ricker RobertORCID, Shi QianORCID, Han Bo, Hendricks StefanORCID, Wu Renhao, Yang QinghuaORCID
Abstract
Abstract. The crucial role that Antarctic sea ice plays in the
global climate system is strongly linked to its thickness. While field
observations are too sparse in the Southern Ocean to determine long-term
trends of the Antarctic sea ice thickness (SIT) on a hemispheric scale,
satellite radar altimetry data can be applied with a promising prospect. The
European Space Agency's Sea Ice Climate Change Initiative project (ESA
SICCI) generates sea ice thickness derived from Envisat, covering the entire
Southern Ocean year-round from 2002 to 2012. In this study, the SICCI
Envisat Antarctic SIT is first compared with an Ice, Cloud, and land Elevation Satellite (ICESat) SIT product retrieved
with a modified ice density algorithm. Both data sets are compared to SIT
estimates from upward-looking sonar (ULS) in the Weddell Sea, showing mean
differences (MDs) and standard deviations (SDs, in parentheses) of 1.29 (0.65) m for
Envisat − ULS (− denotes “minus” and the same below), while we find 1.11 (0.81) m for ICESat − ULS. The inter-comparisons are conducted for all
seasons except for winter, based on the ICESat operating periods. According
to the results, the differences between Envisat and ICESat SIT reveal
significant temporal and spatial variations. More specifically, the smallest
seasonal SIT MD (SD) of 0.00 m (0.39 m) for Envisat − ICESat is found in
spring (October–November), while a larger MD (SD) of 0.52 (0.68 m) and 0.57 m (0.45 m) exists in summer (February–March) and autumn (May–June). It is
also shown that from autumn to spring, mean Envisat SIT decreases while mean
ICESat SIT increases. Our findings suggest that both overestimation of
Envisat sea ice freeboard potentially caused by radar backscatter
originating from inside the snow layer and the Advanced Microwave
Scanning Radiometer for EOS (AMSR-E, where EOS stands for Earth Observing System) snow depth
biases and sea ice density uncertainties can possibly account for the
differences between Envisat and ICESat SIT.
Funder
National Natural Science Foundation of China National Key Research and Development Program of China Basic and Applied Basic Research Foundation of Guangdong Province Norges Forskningsråd
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
Reference72 articles.
1. Barber, D. G., Reddan, S. P., and LeDrew, E. F.: Statistical
characterization of the geophysical and electrical properties of snow on
Landfast first-year sea ice, J. Geophys. Res., 100, 2673–2686,
https://doi.org/10.1029/94JC02200, 1995. 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. 3. Behrendt, A.: The Sea Ice Thickness in the Atlantic Sector of the Southern
Ocean, PhD thesis, University of Bremen, Germany, 239 pp., https://epic.awi.de/id/eprint/33453/1/BzPM_0667_2013.pdf (last access: 13 December 2021), 2013. 4. Behrendt, A., Dierking, W., Fahrbach, E., and Witte, H.: Sea ice draft
measured by upward looking sonars in the Weddell Sea (Antarctica), PANGAEA [data set],
https://doi.org/10.1594/PANGAEA.785565, 2013a. 5. Behrendt, A., Dierking, W., Fahrbach, E., and Witte, H.: Sea ice draft in the Weddell Sea, measured by upward looking sonars, Earth Syst. Sci. Data, 5, 209–226, https://doi.org/10.5194/essd-5-209-2013, 2013b.
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