The statistical properties of sea ice velocity fields
Sahil Agarwal, John S. Wettlaufer

TL;DR
This paper analyzes the long-term statistical properties of Arctic sea ice velocity fields, demonstrating their persistent spatial correlations and white noise behavior across multiple time scales, and linking these to atmospheric wind fluctuations.
Contribution
It develops a multi-fractal stochastic model to characterize the stationarity and correlation structure of sea ice velocities over several decades, connecting ice motion with atmospheric dynamics.
Findings
Velocity fields exhibit long-term stationarity and persistent spatial correlations.
Sea ice velocity fluctuations are proportional to geostrophic wind fluctuations.
The statistical structure is consistent from days to years, indicating free drift prevalence.
Abstract
By arguing that the surface pressure field over the Arctic Ocean can be treated as an isotropic, stationary, homogeneous, Gaussian random field, Thorndike estimated a number of covariance functions from two years of data (1979 and 1980). Given the active interest in changes of general circulation quantities and indices in the polar regions during the recent few decades, the spatial correlations in sea ice velocity fields are of particular interest. It is thus natural to ask; "how persistent are these correlations?" To this end, a multi-fractal stochastic treatment is developed to analyze observed Arctic sea ice velocity fields from satellites and buoys for the period 1978 - 2015. Having previously found that the Arctic Equivalent Ice Extent (EIE) has a white noise structure on annual to bi-annual time scales, the connection between EIE and ice motion is assessed. The long-term…
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Taxonomy
TopicsArctic and Antarctic ice dynamics · Cryospheric studies and observations · Climate variability and models
