DOI: 10.5194/tc-11-1707-2017
Scopus记录号: 2-s2.0-85025655936
论文题名: Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics
作者: Lukovich J ; V ; , Geiger C ; A ; , Barber D ; G
刊名: Cryosphere
ISSN: 19940416
出版年: 2017
卷: 11, 期: 4 起始页码: 1707
结束页码: 1731
语种: 英语
英文关键词: atmospheric forcing
; atmospheric motion
; buoy system
; deformation
; dispersion
; GPS
; ice drift
; Lagrangian analysis
; momentum transfer
; particle motion
; sea ice
; sea level pressure
; spatial variation
; statistical analysis
; synchrony
; synoptic meteorology
; Arctic Ocean
; Beaufort Sea
英文摘要: A framework is developed to assess the directional changes in sea ice drift paths and associated deformation processes in response to atmospheric forcing. The framework is based on Lagrangian statistical analyses leveraging particle dispersion theory which tells us whether ice drift is in a subdiffusive, diffusive, ballistic, or superdiffusive dynamical regime using single-particle (absolute) dispersion statistics. In terms of sea ice deformation, the framework uses two-And three-particle dispersion to characterize along-And across-shear transport as well as differential kinematic parameters. The approach is tested with GPS beacons deployed in triplets on sea ice in the southern Beaufort Sea at varying distances from the coastline in fall of 2009 with eight individual events characterized. One transition in particular follows the sea level pressure (SLP) high on 8 October in 2009 while the sea ice drift was in a superdiffusive dynamic regime. In this case, the dispersion scaling exponent (which is a slope between single-particle absolute dispersion of sea ice drift and elapsed time) changed from superdiffusive (α ĝ1/4 3) to ballistic (α ĝ1/4 2) as the SLP was rounding its maximum pressure value. Following this shift between regimes, there was a loss in synchronicity between sea ice drift and atmospheric motion patterns. While this is only one case study, the outcomes suggest similar studies be conducted on more buoy arrays to test momentum transfer linkages between storms and sea ice responses as a function of dispersion regime states using scaling exponents. The tools and framework developed in this study provide a unique characterization technique to evaluate these states with respect to sea ice processes in general. Application of these techniques can aid ice hazard assessments and weather forecasting in support of marine transportation and indigenous use of near-shore Arctic areas. © 2017 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75525
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Centre for Earth Observation Science, University of Manitoba, Winnipeg, Canada; College of Earth, Ocean and Environment Geography, University of Delaware, Delaware, United States
Recommended Citation:
Lukovich J,V,, Geiger C,et al. Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics[J]. Cryosphere,2017-01-01,11(4)