Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-16-0653.1 |
The Statistical Properties of Sea Ice Velocity Fields | |
Agarwal, Sahil1; Wettlaufer, John S.1,2,3,4,5,6,7 | |
2017-07-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2017 |
卷号 | 30期号:13 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Sweden; England |
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. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000402380900007 |
WOS关键词 | CLIMATE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/19762 |
专题 | 气候变化 |
作者单位 | 1.Yale Univ, Program Appl Math, New Haven, CT 06520 USA; 2.Yale Univ, Dept Geol & Geophys, New Haven, CT USA; 3.Yale Univ, Dept Math, New Haven, CT 06520 USA; 4.Yale Univ, Dept Phys, New Haven, CT USA; 5.NORDITA, Royal Inst Technol, Stockholm, Sweden; 6.Stockholm Univ, Stockholm, Sweden; 7.Univ Oxford, Math Inst, Oxford, England |
推荐引用方式 GB/T 7714 | Agarwal, Sahil,Wettlaufer, John S.. The Statistical Properties of Sea Ice Velocity Fields[J]. JOURNAL OF CLIMATE,2017,30(13). |
APA | Agarwal, Sahil,&Wettlaufer, John S..(2017).The Statistical Properties of Sea Ice Velocity Fields.JOURNAL OF CLIMATE,30(13). |
MLA | Agarwal, Sahil,et al."The Statistical Properties of Sea Ice Velocity Fields".JOURNAL OF CLIMATE 30.13(2017). |
条目包含的文件 | 条目无相关文件。 |
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