Estimates of surface roughness length in heterogeneous under-ice boundary layers.

[1] Measurements obtained in the under-ice ocean boundary layer by two autonomous buoys deployed in 2004 and 2005 are used to estimate the roughness length z 0 of the underside morphology of Arctic Ocean pack ice. Two techniques are used to estimate z 0 . The first uses an extension of the law of th...

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Main Authors: W J Shaw, T P Stanton, M G Mcphee, T Kikuchi
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2008
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1074.8461
http://mcpheeresearch.com/publications/Shaw_etal_JGR2008.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.1074.8461 2023-05-15T15:12:00+02:00 Estimates of surface roughness length in heterogeneous under-ice boundary layers. W J Shaw T P Stanton M G Mcphee T Kikuchi The Pennsylvania State University CiteSeerX Archives 2008 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1074.8461 http://mcpheeresearch.com/publications/Shaw_etal_JGR2008.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1074.8461 http://mcpheeresearch.com/publications/Shaw_etal_JGR2008.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://mcpheeresearch.com/publications/Shaw_etal_JGR2008.pdf text 2008 ftciteseerx 2020-04-26T00:28:32Z [1] Measurements obtained in the under-ice ocean boundary layer by two autonomous buoys deployed in 2004 and 2005 are used to estimate the roughness length z 0 of the underside morphology of Arctic Ocean pack ice. Two techniques are used to estimate z 0 . The first uses an extension of the law of the wall and directly measured turbulent shear stress and velocity at a single point near the ice-ocean interface. The second uses a one-dimensional numerical boundary layer model that is matched to measured velocity profiles in the outer part of the boundary layer with z 0 as an adjustable parameter. The stress-based estimates are sensitive to local morphological features, and the effect of nearby ice ridge keels on the roughness estimates is evident. Averaged over flow direction there is a significant difference in floe roughness between the 2004 and 2005 deployments. Velocity-profile-based z 0 estimates are more uniform with direction than the stress-based estimates, and the average value of the profile-based estimates lies within the range of the stress-based estimates. Averaged over flow direction, both techniques yield z 0 estimates of about 100 mm for the 2005 data set. A central question is how to best estimate a z 0 that can be applied to an individual grid cell in large-scale numerical models. The profile-based estimates are promising in this regard because they are less affected by local morphology than stress-based measurements, which must be made fairly close to the interface in order to be interpretable using a framework based on the law of the wall. Text Arctic Arctic Ocean Unknown Arctic Arctic Ocean
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description [1] Measurements obtained in the under-ice ocean boundary layer by two autonomous buoys deployed in 2004 and 2005 are used to estimate the roughness length z 0 of the underside morphology of Arctic Ocean pack ice. Two techniques are used to estimate z 0 . The first uses an extension of the law of the wall and directly measured turbulent shear stress and velocity at a single point near the ice-ocean interface. The second uses a one-dimensional numerical boundary layer model that is matched to measured velocity profiles in the outer part of the boundary layer with z 0 as an adjustable parameter. The stress-based estimates are sensitive to local morphological features, and the effect of nearby ice ridge keels on the roughness estimates is evident. Averaged over flow direction there is a significant difference in floe roughness between the 2004 and 2005 deployments. Velocity-profile-based z 0 estimates are more uniform with direction than the stress-based estimates, and the average value of the profile-based estimates lies within the range of the stress-based estimates. Averaged over flow direction, both techniques yield z 0 estimates of about 100 mm for the 2005 data set. A central question is how to best estimate a z 0 that can be applied to an individual grid cell in large-scale numerical models. The profile-based estimates are promising in this regard because they are less affected by local morphology than stress-based measurements, which must be made fairly close to the interface in order to be interpretable using a framework based on the law of the wall.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author W J Shaw
T P Stanton
M G Mcphee
T Kikuchi
spellingShingle W J Shaw
T P Stanton
M G Mcphee
T Kikuchi
Estimates of surface roughness length in heterogeneous under-ice boundary layers.
author_facet W J Shaw
T P Stanton
M G Mcphee
T Kikuchi
author_sort W J Shaw
title Estimates of surface roughness length in heterogeneous under-ice boundary layers.
title_short Estimates of surface roughness length in heterogeneous under-ice boundary layers.
title_full Estimates of surface roughness length in heterogeneous under-ice boundary layers.
title_fullStr Estimates of surface roughness length in heterogeneous under-ice boundary layers.
title_full_unstemmed Estimates of surface roughness length in heterogeneous under-ice boundary layers.
title_sort estimates of surface roughness length in heterogeneous under-ice boundary layers.
publishDate 2008
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1074.8461
http://mcpheeresearch.com/publications/Shaw_etal_JGR2008.pdf
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
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http://mcpheeresearch.com/publications/Shaw_etal_JGR2008.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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