Gradient-based scales and similarity laws in the stable boundary layer

被引:77
|
作者
Sorbjan, Z. [1 ,2 ]
机构
[1] Marquette Univ, Dept Phys, Milwaukee, WI 53201 USA
[2] Polish Acad Sci, Inst Geophys, Warsaw, Poland
基金
美国国家科学基金会;
关键词
gradient-based scaling; SHEBA data; similarity theory; stable boundary layer; ATMOSPHERIC-TURBULENCE CHARACTERISTICS; INHOMOGENEOUS LAND-SURFACE; VERTICAL-DISTRIBUTION; RICHARDSON-NUMBER; SELF-CORRELATION; PRANDTL NUMBER; ENERGY-BUDGET; PART I; SHEBA; TEMPERATURE;
D O I
10.1002/qj.638
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Three gradient-based scaling systems for the stably stratified boundary layer are introduced and examined by using data collected during the SHEBA field programme in the Arctic. The resulting similarity functions for fluxes and variances are expressed in an analytical form, which is expected to be essentially unaffected by self-correlation in a very stable regime. The flux Richardson number Rf is found to be proportional to the Richardson number Ri, with the proportionality coefficient varying slightly with stability, from 1.11 to 1.47. The Prandtl number decreases from 0.9 in nearly neutral conditions to 0.7 for larger values of Ri. The negative correlation coefficient between the vertical velocity and temperature, -r(w theta), has a local maximum at Ri of about 0.08, and monotonically decreases with larger values of the Richardson number. The turbulent kinetic energy budget indicates that for Ri > 0.7, turbulence must be non-stationary, i.e. decaying or sporadic. Turbulence within the stably stratified boundary layer can be classified by four regimes: 'nearly neutral' (0 < Ri < 0.02), 'weakly stable' (0.02 < Ri < 0.12), 'very stable' (0.12 < Ri < 0.7), and 'extremely stable' (Ri > 0.7). Copyright (C) 2010 Royal Meteorological Society
引用
收藏
页码:1243 / 1254
页数:12
相关论文
共 50 条
  • [21] An Evaluation of the Flux–Gradient Relationship in the Stable Boundary Layer
    Zbigniew Sorbjan
    Andrey A. Grachev
    Boundary-Layer Meteorology, 2010, 135 : 385 - 405
  • [22] Centralized gradient-based reconstruction for wall modeled large eddy simulations of hypersonic boundary layer transition
    Hoffmann, Natan
    Chamarthi, Amareshwara Sainadh
    Frankel, Steven H.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 512
  • [23] GRADIENT-BASED IMAGE UP-SCALING WITH LOCAL SELF SIMILARITY
    Kuo, Loyon
    Wang, Tsun-Hsien
    Chiu, Ching-Te
    2014 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP), 2014, : 960 - 964
  • [24] Gradient-Based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data
    Sheng, Xiaoliang
    Yousefnezhad, Muhammad
    Xu, Tonglin
    Yuan, Ning
    Zhang, Daoqiang
    PATTERN RECOGNITION AND COMPUTER VISION, PT III, 2018, 11258 : 304 - 315
  • [25] Investigation of interactions between scales of motion in the stable boundary layer
    Vercauteren, Nikki
    Mahrt, Larry
    Klein, Rupert
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2016, 142 (699) : 2424 - 2433
  • [26] On Monin-Obukhov similarity in the stable atmospheric boundary layer
    Pahlow, M
    Parlange, MB
    Porté-Agel, F
    BOUNDARY-LAYER METEOROLOGY, 2001, 99 (02) : 225 - 248
  • [27] Pathology of Monin-Obukhov similarity in the stable boundary layer
    Cheng, YG
    Parlange, MB
    Brutsaert, W
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2005, 110 (D6) : 1 - 10
  • [28] The Influence of Submeso Processes on Stable Boundary Layer Similarity Relationships
    Acevedo, Otavio C.
    Costa, Felipe D.
    Oliveira, Pablo E. S.
    Puhales, Franciano S.
    Degrazia, Gervasio A.
    Roberti, Debora R.
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2014, 71 (01) : 207 - 225
  • [29] An adaptive gradient-based boundary detector for MRI images of the drain
    Batista, J
    Freitas, R
    SEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND ITS APPLICATIONS, 1999, (465): : 440 - 444
  • [30] DETERMINATION OF SIMILARITY FUNCTIONS OF THE RESISTANCE LAWS FOR THE PLANETARY BOUNDARY-LAYER USING SURFACE-LAYER SIMILARITY FUNCTIONS
    BYUN, DW
    BOUNDARY-LAYER METEOROLOGY, 1991, 57 (1-2) : 17 - 48