Article ID Journal Published Year Pages File Type
8131588 Advances in Space Research 2018 8 Pages PDF
Abstract
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 (ηs), 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 ∼0.80, estimated ηs of ∼1.21, and standard errors of ∼8 cm. The resulting refractive index, ηs, 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.
Related Topics
Physical Sciences and Engineering Earth and Planetary Sciences Space and Planetary Science
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