Impact of Temporal-Spatio Resolution on Sea-Ice Drift and Deformation
Crafting a zero-mean Gaussian noise numerical experiment, we examine the relationship between the temporal-spatio resolution of any given instrument and the impact that resolution window has on the propagation of error associated with the computation of sea-ice position, velocity, and deformation. These results are characterized through a fitted curve model describing agreement between two data sets (a pure signal and a noise corrupted signal) as a function of time sampling and spatial uncertainty. Using two example instruments (SAR and SSM/I), we demonstrate how this method can be applied to a variety of instruments to estimate the precision of motion vector products given an instrument’s chosen temporal and spatial resolution. Relevance to future satellite designs and preprocessing of current data sets is also discussed.
KeywordsMotion Vector Spatial Uncertainty Spatial Noise Eurasian Basin Fitted Curve Model
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