气候变化领域集成服务门户(CCPortal): Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics

CCPortal

DOI	10.5194/tc-11-1707-2017
	Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics
	Lukovich J.V.; Geiger C.A.; Barber D.G.
发表日期	2017
ISSN	19940416
卷号	11 期号:4
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).
学科领域	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
语种	英语
scopus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
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119367
作者单位	Centre for Earth Observation Science, University of Manitoba, Winnipeg, R3T 2N2, Canada; College of Earth, Ocean and Environment Geography, University of Delaware, Delaware, 19716, United States
推荐引用方式 GB/T 7714	Lukovich J.V.,Geiger C.A.,Barber D.G.. Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics[J],2017,11(4).
APA	Lukovich J.V.,Geiger C.A.,&Barber D.G..(2017).Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics.Cryosphere,11(4).
MLA	Lukovich J.V.,et al."Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics".Cryosphere 11.4(2017).