Parameterizing Turbulent Exchange over Sea Ice in Winter

被引:97
作者
Andreas, Edgar L. [1 ]
Persson, P. Ola G. [2 ,3 ]
Jordan, Rachel E. [4 ]
Horst, Thomas W. [5 ]
Guest, Peter S. [6 ]
Grachev, Andrey A. [2 ,3 ]
Fairall, Christopher W. [2 ]
机构
[1] NW Res Associates Inc, Seattle Div, Lebanon, NH 03766 USA
[2] NOAA, Earth Syst Res Lab, Boulder, CO USA
[3] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[4] Jordan Environm Modeling PC, Hanover, NH USA
[5] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
[6] USN, Postgrad Sch, Monterey, CA USA
基金
美国国家科学基金会; 美国国家航空航天局;
关键词
SCALAR TRANSFER-COEFFICIENTS; BULK AERODYNAMIC ALGORITHMS; CLIMATE SYSTEM MODEL; WESTERN WEDDELL SEA; SURFACE HEAT-BUDGET; BOUNDARY-LAYER; DRAG COEFFICIENTS; ROUGHNESS LENGTH; TEMPERATURE; SNOW;
D O I
10.1175/2009JHM1102.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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 z(0) 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 x 10(-4) m. Previous analyses that found z(0) to increase with u(*) during drifting snow may have suffered from fictitious correlation because u(*) also appears in z(0). The present analysis mitigates this fictitious correlation by plotting measured z(0) against the corresponding u(*) computed from the bulk flux algorithm. Such plots, created with data from six different SHEBA sites, show z(0) 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 z(T) and humidity z(Q), 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 z(0), z(T), and z(Q).
引用
收藏
页码:87 / 104
页数:18
相关论文
共 101 条
[1]  
Andreas E.L., 1999, 5 C POL MET OC 10 15, P411
[2]  
Andreas E. L., 2005, ERDC CRREL MONOGR, VM-05-01
[3]   A bulk turbulent air-sea flux algorithm for high-wind, spray conditions [J].
Andreas, Edgar L. ;
Persson, P. Ola G. ;
Hare, Jeffrey E. .
JOURNAL OF PHYSICAL OCEANOGRAPHY, 2008, 38 (07) :1581-1596
[4]   Evaluations of the von Karman constant in the atmospheric surface layer [J].
Andreas, Edgar L. ;
Claffey, Kerry J. ;
Jordan, Rachel E. ;
Fairall, Christopher W. ;
Guest, Peter S. ;
Persson, P. Ola G. ;
Grachev, Andrey A. .
JOURNAL OF FLUID MECHANICS, 2006, 559 (117-149) :117-149
[5]   A THEORY FOR THE SCALAR ROUGHNESS AND THE SCALAR TRANSFER-COEFFICIENTS OVER SNOW AND SEA ICE [J].
ANDREAS, EL .
BOUNDARY-LAYER METEOROLOGY, 1987, 38 (1-2) :159-184
[6]   Parameterizing turbulent exchange over sea ice: The Ice Station Weddell results [J].
Andreas, EL ;
Jordan, RE ;
Makshtas, AP .
BOUNDARY-LAYER METEOROLOGY, 2005, 114 (02) :439-460
[7]   Near-surface water vapor over polar sea ice is always near ice saturation [J].
Andreas, EL ;
Guest, PS ;
Persson, POG ;
Fairall, CW ;
Horst, TW ;
Moritz, RE ;
Semmer, SR .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2002, 107 (C10)
[8]  
Andreas EL, 2004, J HYDROMETEOROL, V5, P611, DOI 10.1175/1525-7541(2004)005<0611:SOSIAN>2.0.CO
[9]  
2
[10]  
Andreas EL, 2002, J HYDROMETEOROL, V3, P417, DOI 10.1175/1525-7541(2002)003<0417:PSTOSA>2.0.CO