Parameterizing turbulent exchange over sea ice in winter
The Surface Heat Budget of the Arctic Ocean (SHEBA) experiment produced 18 000 h of turbulence data from the atmospheric surface layer over sea ice while the ice camp drifted for a year in the Beaufort Gyre. Multiple sites instrumented during SHEBA suggest only two aerodynamic seasons over sea ice....
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ftncar:oai:drupal-site.org:articles_10471 2023-07-30T04:02:08+02:00 Parameterizing turbulent exchange over sea ice in winter Andreas, Edgar (author) Persson, P. (author) Jordan, Rachel (author) Horst, Thomas (author) Guest, Peter (author) Grachev, Andrey (author) Fairall, Christopher (author) 2010-02-01 application/pdf http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-001-158 https://doi.org/10.1175/2009JHM1102.1 en eng American Meteorological Society Journal of Hydrometeorology http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-001-158 doi:10.1175/2009JHM1102.1 ark:/85065/d7rv0p53 Copyright 2010 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Law (17 USC, as revised by P.L. 94-553) does not require the Society's permission. Republication, systematic reproduction, posting in electronic form on servers, or other uses of this material, except as exempted by the above statements, requires written permission or license from the AMS. Additional details are provided in the AMS Copyright Policies, available from the AMS at 617-227-2425 or amspubs@ametsoc.org. Permission to place a copy of this work on this server has been provided by the AMS. The AMS does not guarantee that the copy provided here is an accurate copy of the published work. Sea ice Winter/cool season Turbulence Surface layer Surface fluxes Algorithms Text article 2010 ftncar https://doi.org/10.1175/2009JHM1102.1 2023-07-17T18:22:22Z The Surface Heat Budget of the Arctic Ocean (SHEBA) experiment produced 18 000 h of turbulence data from the atmospheric surface layer over sea ice while the ice camp drifted for a year in the Beaufort Gyre. Multiple sites instrumented during SHEBA suggest only two aerodynamic seasons over sea ice. In "winter" (October 1997 through 14 May 1998 and 15 September 1998 through the end of the SHEBA deployment in early October 1998), the ice was compact and snow covered, and the snow was dry enough to drift and blow. In "summer" (15 May through 14 September 1998 in this dataset), the snow melted, and melt ponds and leads appeared and covered as much as 40% of the surface with open water. This paper develops a bulk turbulent flux algorithm to explain the winter data. This algorithm predicts the surface fluxes of momentum, and sensible and latent heat from more readily measured or modeled quantities. A main result of the analysis is that the roughness length for wind speed z0 does not depend on the friction velocity u* in the drifting snow regime (u* ≥ 0.30 m s⁻¹) but, rather, is constant in the SHEBA dataset at about 2.3 × 10⁻⁴m. Previous analyses that found z0 to increase with u* during drifting snow may have suffered from fictitious correlation because u* also appears in z0. The present analysis mitigates this fictitious correlation by plotting measured z0 against the corresponding u* computed from the bulk flux algorithm. Such plots, created with data from six different SHEBA sites, show z0 to be independent of the bulk u* for 0.15 < u* ≤ 0.65 m s⁻¹. This study also evaluates the roughness lengths for temperature zT and humidity zQ, incorporates new profile stratification corrections for stable stratification, addresses the singularities that often occur in iterative flux algorithms in very light winds, and includes an extensive analysis of whether atmospheric stratification affects z0, zT, and zQ. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice Surface Heat Budget of the Arctic Ocean OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Arctic Arctic Ocean Journal of Hydrometeorology 11 1 87 104 |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
topic |
Sea ice Winter/cool season Turbulence Surface layer Surface fluxes Algorithms |
spellingShingle |
Sea ice Winter/cool season Turbulence Surface layer Surface fluxes Algorithms Parameterizing turbulent exchange over sea ice in winter |
topic_facet |
Sea ice Winter/cool season Turbulence Surface layer Surface fluxes Algorithms |
description |
The Surface Heat Budget of the Arctic Ocean (SHEBA) experiment produced 18 000 h of turbulence data from the atmospheric surface layer over sea ice while the ice camp drifted for a year in the Beaufort Gyre. Multiple sites instrumented during SHEBA suggest only two aerodynamic seasons over sea ice. In "winter" (October 1997 through 14 May 1998 and 15 September 1998 through the end of the SHEBA deployment in early October 1998), the ice was compact and snow covered, and the snow was dry enough to drift and blow. In "summer" (15 May through 14 September 1998 in this dataset), the snow melted, and melt ponds and leads appeared and covered as much as 40% of the surface with open water. This paper develops a bulk turbulent flux algorithm to explain the winter data. This algorithm predicts the surface fluxes of momentum, and sensible and latent heat from more readily measured or modeled quantities. A main result of the analysis is that the roughness length for wind speed z0 does not depend on the friction velocity u* in the drifting snow regime (u* ≥ 0.30 m s⁻¹) but, rather, is constant in the SHEBA dataset at about 2.3 × 10⁻⁴m. Previous analyses that found z0 to increase with u* during drifting snow may have suffered from fictitious correlation because u* also appears in z0. The present analysis mitigates this fictitious correlation by plotting measured z0 against the corresponding u* computed from the bulk flux algorithm. Such plots, created with data from six different SHEBA sites, show z0 to be independent of the bulk u* for 0.15 < u* ≤ 0.65 m s⁻¹. This study also evaluates the roughness lengths for temperature zT and humidity zQ, incorporates new profile stratification corrections for stable stratification, addresses the singularities that often occur in iterative flux algorithms in very light winds, and includes an extensive analysis of whether atmospheric stratification affects z0, zT, and zQ. |
author2 |
Andreas, Edgar (author) Persson, P. (author) Jordan, Rachel (author) Horst, Thomas (author) Guest, Peter (author) Grachev, Andrey (author) Fairall, Christopher (author) |
format |
Article in Journal/Newspaper |
title |
Parameterizing turbulent exchange over sea ice in winter |
title_short |
Parameterizing turbulent exchange over sea ice in winter |
title_full |
Parameterizing turbulent exchange over sea ice in winter |
title_fullStr |
Parameterizing turbulent exchange over sea ice in winter |
title_full_unstemmed |
Parameterizing turbulent exchange over sea ice in winter |
title_sort |
parameterizing turbulent exchange over sea ice in winter |
publisher |
American Meteorological Society |
publishDate |
2010 |
url |
http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-001-158 https://doi.org/10.1175/2009JHM1102.1 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Sea ice Surface Heat Budget of the Arctic Ocean |
genre_facet |
Arctic Arctic Ocean Sea ice Surface Heat Budget of the Arctic Ocean |
op_relation |
Journal of Hydrometeorology http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-001-158 doi:10.1175/2009JHM1102.1 ark:/85065/d7rv0p53 |
op_rights |
Copyright 2010 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Law (17 USC, as revised by P.L. 94-553) does not require the Society's permission. Republication, systematic reproduction, posting in electronic form on servers, or other uses of this material, except as exempted by the above statements, requires written permission or license from the AMS. Additional details are provided in the AMS Copyright Policies, available from the AMS at 617-227-2425 or amspubs@ametsoc.org. Permission to place a copy of this work on this server has been provided by the AMS. The AMS does not guarantee that the copy provided here is an accurate copy of the published work. |
op_doi |
https://doi.org/10.1175/2009JHM1102.1 |
container_title |
Journal of Hydrometeorology |
container_volume |
11 |
container_issue |
1 |
container_start_page |
87 |
op_container_end_page |
104 |
_version_ |
1772812867068755968 |