LES modeling of wind over Antarctic snow-ice formations using a dynamic surface roughness approach.

Wind surface drag over sea-ice is a primary control on sea-ice flow patterns and deformations at scales that are important for climate and weather prediction models. Here, we perform a series of Large Eddy Simulations (LES) of fully developed flow over high-resolution snow-ice surfaces of Antarctic...

Full description

Bibliographic Details
Main Authors: Giometto, Marco Giovanni, Trujillo Gomez, Ernesto, Leonard, Katherine Colby, Maksym, Ted, Meneveau, Charles, Lehning, Michael, Parlange, Marc
Format: Text
Language:unknown
Published: 2015
Subjects:
Online Access:http://infoscience.epfl.ch/record/206724
id ftinfoscience:oai:infoscience.tind.io:206724
record_format openpolar
spelling ftinfoscience:oai:infoscience.tind.io:206724 2023-05-15T13:48:06+02:00 LES modeling of wind over Antarctic snow-ice formations using a dynamic surface roughness approach. Giometto, Marco Giovanni Trujillo Gomez, Ernesto Leonard, Katherine Colby Maksym, Ted Meneveau, Charles Lehning, Michael Parlange, Marc 2015-03-16T11:41:03Z http://infoscience.epfl.ch/record/206724 unknown http://infoscience.epfl.ch/record/206724 http://infoscience.epfl.ch/record/206724 Text 2015 ftinfoscience 2023-02-13T22:25:57Z Wind surface drag over sea-ice is a primary control on sea-ice flow patterns and deformations at scales that are important for climate and weather prediction models. Here, we perform a series of Large Eddy Simulations (LES) of fully developed flow over high-resolution snow-ice surfaces of Antarctic sea ice floes to study surface drag and roughness parameters at process scales from 1 cm to 100 m. Snow/ice surface morphology was obtained using a Terrestrial Laser Scanner during the SIPEX II (Sea Ice Physics and Ecosystem experiment II) research voyage to East Antarctica (September-November 2012). LES are performed on a regular domain adopting a mixed pseudo-spectral/finite difference spatial discretization. A scale-dependent dynamic subgrid-scale model based on Lagrangian time averaging is adopted to determine the eddy-viscosity in the bulk of the flow. The effects of large-scale features of the surface on the wind flow (those features that can be resolved in LES) are accounted for through an immersed boundary method. Conversely, the drag forces caused by subgrid-scale features of the surface should be accounted for through a parameterization. However the effective aerodynamic surface roughness parameter z0 for snow ice is not known. Hence, a dynamic approach is utilized, in which this parameter is determined using the first-principles based constraint that the total momentum flux (drag) must be independent on grid-filter scale. This dynamic surface roughness model is inspired by the Germano identity, traditionally used to determine model parameters for closing subgrid-scale stresses in the bulk of a turbulent flow. This type of model has been previously applied to flow over multi-scale terrain and ocean waves but never for snow-ice surfaces. The resulting dynamic parameter will be compared with values obtained for solid terrain and ocean sea surface values, and the implications on overall drag forces on snow ice surfaces will be discussed. Text Antarc* Antarctic Antarctica East Antarctica Sea ice EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) Antarctic East Antarctica
institution Open Polar
collection EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne)
op_collection_id ftinfoscience
language unknown
description Wind surface drag over sea-ice is a primary control on sea-ice flow patterns and deformations at scales that are important for climate and weather prediction models. Here, we perform a series of Large Eddy Simulations (LES) of fully developed flow over high-resolution snow-ice surfaces of Antarctic sea ice floes to study surface drag and roughness parameters at process scales from 1 cm to 100 m. Snow/ice surface morphology was obtained using a Terrestrial Laser Scanner during the SIPEX II (Sea Ice Physics and Ecosystem experiment II) research voyage to East Antarctica (September-November 2012). LES are performed on a regular domain adopting a mixed pseudo-spectral/finite difference spatial discretization. A scale-dependent dynamic subgrid-scale model based on Lagrangian time averaging is adopted to determine the eddy-viscosity in the bulk of the flow. The effects of large-scale features of the surface on the wind flow (those features that can be resolved in LES) are accounted for through an immersed boundary method. Conversely, the drag forces caused by subgrid-scale features of the surface should be accounted for through a parameterization. However the effective aerodynamic surface roughness parameter z0 for snow ice is not known. Hence, a dynamic approach is utilized, in which this parameter is determined using the first-principles based constraint that the total momentum flux (drag) must be independent on grid-filter scale. This dynamic surface roughness model is inspired by the Germano identity, traditionally used to determine model parameters for closing subgrid-scale stresses in the bulk of a turbulent flow. This type of model has been previously applied to flow over multi-scale terrain and ocean waves but never for snow-ice surfaces. The resulting dynamic parameter will be compared with values obtained for solid terrain and ocean sea surface values, and the implications on overall drag forces on snow ice surfaces will be discussed.
format Text
author Giometto, Marco Giovanni
Trujillo Gomez, Ernesto
Leonard, Katherine Colby
Maksym, Ted
Meneveau, Charles
Lehning, Michael
Parlange, Marc
spellingShingle Giometto, Marco Giovanni
Trujillo Gomez, Ernesto
Leonard, Katherine Colby
Maksym, Ted
Meneveau, Charles
Lehning, Michael
Parlange, Marc
LES modeling of wind over Antarctic snow-ice formations using a dynamic surface roughness approach.
author_facet Giometto, Marco Giovanni
Trujillo Gomez, Ernesto
Leonard, Katherine Colby
Maksym, Ted
Meneveau, Charles
Lehning, Michael
Parlange, Marc
author_sort Giometto, Marco Giovanni
title LES modeling of wind over Antarctic snow-ice formations using a dynamic surface roughness approach.
title_short LES modeling of wind over Antarctic snow-ice formations using a dynamic surface roughness approach.
title_full LES modeling of wind over Antarctic snow-ice formations using a dynamic surface roughness approach.
title_fullStr LES modeling of wind over Antarctic snow-ice formations using a dynamic surface roughness approach.
title_full_unstemmed LES modeling of wind over Antarctic snow-ice formations using a dynamic surface roughness approach.
title_sort les modeling of wind over antarctic snow-ice formations using a dynamic surface roughness approach.
publishDate 2015
url http://infoscience.epfl.ch/record/206724
geographic Antarctic
East Antarctica
geographic_facet Antarctic
East Antarctica
genre Antarc*
Antarctic
Antarctica
East Antarctica
Sea ice
genre_facet Antarc*
Antarctic
Antarctica
East Antarctica
Sea ice
op_source http://infoscience.epfl.ch/record/206724
op_relation http://infoscience.epfl.ch/record/206724
_version_ 1766248579340435456