Journal
ADVANCES IN SPACE RESEARCH
Volume 62, Issue 6, Pages 1243-1250Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.asr.2017.09.007
Keywords
CryoSat-2; ICESat-2; Sea ice; Snow depth; Arctic; Antarctic
Categories
Funding
- National Aeronautics and Space Administration
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The potential of deriving snow depth estimates using differences in freeboard heights from CryoSat-2 (CS-2) and ICESat-2 (IS-2) is examined. In our analysis, we use lidar freeboard from the Airborne Topographic Mapper (ATM) on Operation IceBridge (OIB) as proxy of IS-2 total (snow + ice) freeboard. Snow depths are estimates from the OIB snow radar. Differences in height between the total (ATM) and ice (CS-2) freeboards are related to snow depth by the refractive index of the snow layer (eta(s)), which is dependent on snow density. For two years (2014 and 2015), regression of the ATM and CS-2 freeboard differences against OIB snow depth gives correlations of similar to 0.80, estimated eta(s) of similar to 1.21, and standard errors of similar to 8 cm. The resulting refractive index, eta(s), can be compared to that expected of the Arctic snow cover in early spring (1.25 +/- 0.05). The expected biases and variability in the regression analysis are discussed. Results suggest that snow depth can be estimated from the freeboard differences. The benefits of adjusting the orbit of CS-2 for providing more optimized overlaps between IS-2 and CS-2 are considered. (C) 2017 COSPAR. Published by Elsevier Ltd. All rights reserved.
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