Joseph Smagorinsky 2026-11-05
Joseph Smagorinsky developed numerical experiments on atmospheric circulation and was a central figure in the early modeling work at the Geophysical Fluid Dynamics Laboratory. Its institutional history credits his work with Syukuro Manabe in building atmospheric models for climate research during the 1950s and 1960s.[ref]
Brief History of Global Atmospheric Modeling at GFDL by NOAA Geophysical Fluid Dynamics Laboratory. Opening historical account
His 1963 General Circulation Experiments with the Primitive Equations: I. The Basic Experiment by Joseph Smagorinsky integrated a simplified atmospheric model over an extended period and examined its momentum and heat transport. The model represented winds at two internal levels and a single temperature, with specified radiative forcing and dissipative mechanisms. Its lateral exchange coefficient depended on the local horizontal strain rate.[ref]
The motivating difficulty is scale. A computational grid can represent large circulation patterns while failing to resolve smaller eddies that still transport momentum and heat. The Smagorinsky model represents some effects of those unresolved motions by an eddy viscosity, linking the closure to the resolved deformation rather than tracking every small eddy directly.
The original experiment also illustrates scientific restraint: Smagorinsky reported aspects of agreement with observed circulation while judging the modeled small-scale diffusion to play too large a role. A model can reproduce broad patterns yet misallocate the processes producing them. Comparing transport mechanisms and energy budgets therefore supplies a stronger test than visual resemblance alone.[ref]
General Circulation Experiments with the Primitive Equations: I. The Basic Experiment by Joseph Smagorinsky. Abstract: circulation comparison and explicit concern about excessive small-scale diffusion
Smagorinsky model 2026-11-05
The Smagorinsky model approximates the deviatoric subgrid-scale stress using an eddy viscosity determined by the resolved strain-rate tensor:Here , is the filter length, is dimensionless, and repeated indices use the Einstein summation convention. The Kronecker delta selects the isotropic part. The construction estimates a missing effect from resolved deformation rather than calculating each unresolved eddy.[ref]
A dynamic subgrid-scale eddy viscosity model by Massimo Germano and others (1990). Introduction, equations 1–2, standard Smagorinsky closure and strain magnitude
For simple shear flow , the only nonzero strain components are , giving . Taking , and yieldsThese are illustrative parameter choices, not a universal fitted constant. The dimensions follow from .
For an incompressible flow, the resolved-to-unresolved kinetic energy transfer isA nonnegative eddy viscosity thus removes resolved kinetic energy and cannot represent local turbulent backscatter. Coefficients and near-wall treatment require physical and numerical judgment.
Joseph Smagorinsky's 1963 atmospheric-circulation experiment used a lateral exchange coefficient based on horizontal deformation and a length scale. The modern three-dimensional expression above extends that strain-dependent modeling idea; it should not be mistaken for the complete original atmospheric model.[ref]
General Circulation Experiments with the Primitive Equations: I. The Basic Experiment by Joseph Smagorinsky. Abstract and discussion of exchange coefficient proportional to squared grid length times deformation magnitude
Subgrid-scale model 2026-11-05
A subgrid-scale model represents the influence of unresolved motion on the quantities retained in a large eddy simulation. Its need follows directly from the nonlinear velocity product in the Navier-Stokes equations: averaging a product generally differs from multiplying the averages.
Let a bar denote a spatial averaging filter. With constant mass density , constant kinematic viscosity , and a time-independent translation-invariant filter on an unbounded or periodic domain, filtering the incompressible momentum equation giveswhere repeated indices use the Einstein summation convention, is pressure, and the subgrid-scale stress in this sign convention isThe assumed filter commutes with the displayed derivatives. The definition of is exact; a closure must approximate it using available resolved information.[ref]
A dynamic subgrid-scale eddy viscosity model by Massimo Germano and others (1990). Section2, equations3–7: filtering, filtered momentum and the unresolved stress
For an elementary example, average two equally weighted values of one velocity component, and . The mean is zero but the mean square is , so the corresponding stress component is . A resolved mean alone has lost the information needed to reconstruct that covariance.
The Smagorinsky model closes the deviatoric part with an eddy viscosity:where is the Kronecker delta, is the resolved strain-rate tensor, a dimensionless model coefficient and a characteristic filter width. The isotropic stress can be included in a modified pressure. This strain-dependent viscosity has its historical origin in Joseph Smagorinsky's atmospheric circulation modelling.[ref]
General Circulation Experiments with the Primitive Equations: I. The Basic Experiment by Joseph Smagorinsky. Abstract: lateral exchange coefficient based on horizontal strain and a length scale
[ref]A dynamic subgrid-scale eddy viscosity model by Massimo Germano and others (1990). Introduction, equations1–2: the standard Smagorinsky expression
For an incompressible flow, the model transfers resolved kinetic energy out at the rate per unit massA fixed nonnegative eddy viscosity therefore permits dissipation but excludes local turbulent backscatter. A dynamic subgrid-scale model can instead estimate its coefficient from resolved stresses at two filter levels. This addresses a modelling choice, rather than changing the exact definition of the unresolved stress.[ref]
A dynamic subgrid-scale eddy viscosity model by Massimo Germano and others (1990). Introduction and Section2: backscatter limitations and the dynamic two-filter construction
Turbulent backscatter 2026-11-05
Turbulent backscatter is transfer of kinetic energy from unresolved or smaller spatial scales into larger resolved scales. In a large eddy simulation, its sign is defined relative to the chosen spatial averaging filter and subgrid-scale stress. It can occur locally even when the mean energy cascade transfers energy toward small scales.[ref]
A dynamic subgrid-scale eddy viscosity model by Massimo Germano and others (1990). Introduction, small-to-large-scale energy flow and inability of a fixed dissipative closure to represent it
With , the stress force in the filtered momentum equation is . Multiplying by givesThe first term transports kinetic energy through space. Because is symmetric, the second is , the local exchange with unresolved motion. Thus the forward-transfer conventionmakes a gain of resolved kinetic energy.
For a trace-free resolved strain and stress , with nonnegative ,Taking and produces backscatter even though the stress matrix is positive semidefinite. Positivity of a weighted covariance does not fix the sign of its contraction with an indefinite strain tensor.
The Smagorinsky model with nonnegative eddy viscosity instead gives . A dynamic subgrid-scale model can allow the reverse sign. Backscatter describes exchange between scales, not negative molecular viscous dissipation or creation of total energy.