DOI: 10.1175/JCLI-D-16-0653.1
Scopus记录号: 2-s2.0-85020090480
论文题名: The statistical properties of sea ice velocity fields
作者: Agarwal S. ; Wettlaufera J.S.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期: 13 起始页码: 4873
结束页码: 4881
语种: 英语
英文摘要: 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 multifractal stochastic treatment is developed to analyze observed Arctic sea ice velocity fields from satellites and buoys for the period 1978-2015. Since it was previously found that the Arctic equivalent ice extent (EIE) has a white noise structure on annual to biannual time scales, the connection between EIE and ice motion is assessed. The long-term stationarity of the spatial correlation structure of the velocity fields and the robustness of their white noise structure on multiple time scales is demonstrated; these factors (i) combine to explain the white noise characteristics of the EIE on annual to biannual time scales and (ii) explain why the fluctuations in the ice velocity are proportional to fluctuations in the geostrophic winds on time scales of days to months. Moreover, it is shown that the statistical structure of these two quantities is commensurate from days to years, which may be related to the increasing prevalence of free drift in the ice pack. © 2017 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/48851
Appears in Collections: 气候变化与战略
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作者单位: Yale University, New Haven, CT, United States; Departments of Geology and Geophysics, Mathematics and Physics, Yale University, New Haven, CT, United States; Nordita, Royal Institute of Technology and Stockholm University, Stockholm, Sweden; Mathematical Institute, University of Oxford, Oxford, United Kingdom
Recommended Citation:
Agarwal S.,Wettlaufera J.S.. The statistical properties of sea ice velocity fields[J]. Journal of Climate,2017-01-01,30(13)