Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics
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 subdiffu...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , |
Format: | Text |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-11-1707-2017 https://tc.copernicus.org/articles/11/1707/2017/ |
id |
ftcopernicus:oai:publications.copernicus.org:tc54927 |
---|---|
record_format |
openpolar |
spelling |
ftcopernicus:oai:publications.copernicus.org:tc54927 2023-05-15T15:02:08+02:00 Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics Lukovich, Jennifer V. Geiger, Cathleen A. Barber, David G. 2018-09-27 application/pdf https://doi.org/10.5194/tc-11-1707-2017 https://tc.copernicus.org/articles/11/1707/2017/ eng eng doi:10.5194/tc-11-1707-2017 https://tc.copernicus.org/articles/11/1707/2017/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-11-1707-2017 2020-07-20T16:23:40Z 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 ∼ 3) to ballistic ( α ∼ 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. Text Arctic Beaufort Sea Sea ice Copernicus Publications: E-Journals Arctic Triplets ENVELOPE(-59.750,-59.750,-62.383,-62.383) The Cryosphere 11 4 1707 1731 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
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 ∼ 3) to ballistic ( α ∼ 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. |
format |
Text |
author |
Lukovich, Jennifer V. Geiger, Cathleen A. Barber, David G. |
spellingShingle |
Lukovich, Jennifer V. Geiger, Cathleen A. Barber, David G. Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics |
author_facet |
Lukovich, Jennifer V. Geiger, Cathleen A. Barber, David G. |
author_sort |
Lukovich, Jennifer V. |
title |
Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics |
title_short |
Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics |
title_full |
Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics |
title_fullStr |
Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics |
title_full_unstemmed |
Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics |
title_sort |
method to characterize directional changes in arctic sea ice drift and associated deformation due to synoptic atmospheric variations using lagrangian dispersion statistics |
publishDate |
2018 |
url |
https://doi.org/10.5194/tc-11-1707-2017 https://tc.copernicus.org/articles/11/1707/2017/ |
long_lat |
ENVELOPE(-59.750,-59.750,-62.383,-62.383) |
geographic |
Arctic Triplets |
geographic_facet |
Arctic Triplets |
genre |
Arctic Beaufort Sea Sea ice |
genre_facet |
Arctic Beaufort Sea Sea ice |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-11-1707-2017 https://tc.copernicus.org/articles/11/1707/2017/ |
op_doi |
https://doi.org/10.5194/tc-11-1707-2017 |
container_title |
The Cryosphere |
container_volume |
11 |
container_issue |
4 |
container_start_page |
1707 |
op_container_end_page |
1731 |
_version_ |
1766334122961141760 |