50 Years of the Monin–Obukhov Similarity Theory

By T. Foken. 2006

731 citations recorded by the source corpus.

Subfields: Atmospheric Science, Computational Mechanics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/24612e5ca37993ade6eb7223babdbdc2919c9bcb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Gordon Bonan
2. William J. Riley
3. C. Koven
4. A. Slater
5. D. Lawrence
6. S. Swenson
7. N. Kleeorin
8. I. Rogachevskii

In Computational Mechanics

1. N. Kleeorin
2. I. Rogachevskii
3. T. Elperin
4. Xin Li
5. M. Clark
6. Xin Tian
7. Zeng-yuan Li
8. Massimiliano de Franceschi

In Global and Planetary Change

1. Gordon Bonan
2. R. Fisher
3. N. Kleeorin
4. Xin Li
5. D. Lawrence
6. C. Koven
7. L. Ruby Leung
8. Joshua B. Fisher

Citations in the corpus

• The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty (2019, methodology): “In Monin‐Obukhov stability theory (Foken, 2006), atmospheric stability is characterized by a length scale L, called the Obukhov length, which is used to nondimensionalize the distance to the surface using variable zeta = (z − d)/L, where z is the reference height and d is the displacement height.”
• A Hierarchy of Energy- and Flux-Budget (EFB) Turbulence Closure Models for Stably-Stratified Geophysical Flows (2011, background): “for very small Ri in Figures 4 and 5 are consistent with the well-established empirical value of the turbulent Prandtl number in neutral stratification [e.g., Elperin et al. (1996), Churchill (2002), Foken (2006)]: Pr T F T C C Pr(0) = 0.8 at Ri 0 . (57) As follows from Eq. (56) in linear approxi”
• Energy- and flux-budget (EFB) turbulence closure model for stably stratified flows. Part I: steady-state, homogeneous regimes (2006, result): “data from atmospheric and laboratory experiments, LES and DNS. Data for Ri in Figure 1 are consistent with the commonly accepted empirical estimate of =0.8 [see data collected by Churchill (2002) and Foken (2006) and theoretical analysis of Elperin et al. (1996a)]. Figure 1b clearly demonstrates tha”
• Analysis of second‐order moments in surface layer turbulence in an Alpine valley (2009, background): “The Monin–Obukhov Similarity Theory (MOST) provides a convenient paradigm for the theoretical analysis of turbulence properties in the atmospheric surface layer (Foken, 2006, provides a recent overview).”
• Estimating zero-plane displacement height and aerodynamic roughness length using synthesis of LiDAR and SPOT-5 data (2011, methodology): “The Monin–Obukhov Similarity (MOS) theory (Foken, 2006; Monin & Obukhov, 1954) has been frequently used in atmospheric models for numerical weather prediction and climate research (Su et al., 2001).”