---
title: Intermittent Obukhov-Corrsin Regime
url: https://www.emergentmind.com/topics/intermittent-obukhov-corrsin-regime
type: topic
---

# Intermittent Obukhov-Corrsin Regime

The intermittent Obukhov–Corrsin regime is a family of passive-scalar turbulence regimes in which the classical Obukhov–Corrsin inertial-convective picture is retained at second order or in an averaged sense, while intermittency appears through anomalous higher-order scaling, non-Gaussian small-scale statistics, anomalous dissipation, or codimension-sensitive concentration of dissipation. In the classical homogeneous isotropic setting, the baseline prediction is the Obukhov–Corrsin law \(E_\theta(k)\sim C\,\chi\,\epsilon^{-1/3}k^{-5/3}\) together with the dimensional estimate \(S_p(r)\propto r^{p/3}\). In recent rigorous PDE work, the same phrase is used in a different but related sense: a supercritical regularity regime for transport by rough divergence-free flows, in which uniform regularity and anomalous dissipation coexist. By contrast, some recent mathematical derivations of the Obukhov–Corrsin spectrum explicitly prove annularly averaged second-order spectral scaling without claiming intermittency itself [1202.4113, 2207.06833, 2508.00115, 2512.02853].

## 1. Classical Obukhov–Corrsin framework

In incompressible homogeneous isotropic turbulence with a passive scalar, the basic object is the normalized two-point scalar correlation
\[
f_\theta(r,t)=\frac{\langle \vartheta \vartheta'\rangle}{\theta^2},
\]
whose evolution is governed by the Corrsin equation
\[
\theta^2 \frac{\partial  f_\theta}{\partial t} + f_\theta  \frac{d \theta^2}{d t} -G -2 \chi \theta^2 \left( \frac{\partial^2 f_\theta}{\partial r^2} + \frac{2}{r} \frac{\partial f_\theta}{\partial r} \right)  = 0,
\]
with transfer term
\[
G = - \frac{\partial}{\partial r_k} \langle \vartheta \vartheta' (u_k'-u_k) \rangle.
\]
In the same setting, the scalar spectrum is defined by a sine transform of \(f_\theta\), and the inertial-convective regime is identified with
\[
\Theta(\kappa)\sim C_\theta \epsilon^{-1/3}\epsilon_\theta\,\kappa^{-5/3}.
\]
The same closed theory also recovers the Batchelor viscous-convective regime \(\Theta(\kappa)\sim \kappa^{-1}\) at high \(Pr\), and a steeper low-\(Pr\) range with exponent \(n\) satisfying \(-17/3<n<-11/3\) [1202.4113].

This baseline already implies that the Obukhov–Corrsin law is not a statement about the entire spectrum. It is a finite-window inertial-convective law embedded in a broader regime structure controlled by advection, stretching, viscosity, and diffusivity. A related Lagrangian-Liouville closure program formulates the scalar dynamics in terms of the pair-separation vector \({\bf r}\), assumes statistical independence of \({\bf r}\) from \(({\bf u},\vartheta)\) in fully developed turbulence, and derives a non-eddy-viscosity closure
\[
G=\theta^2 u\sqrt{\frac{1-f}{2}}\ \frac{\partial f_\theta}{\partial r},
\]
within a framework where the temperature correlation reaches a developed form in finite time [1508.02070].

## 2. Intermittency as anomalous higher-order scalar statistics

In the phenomenological literature, an intermittent Obukhov–Corrsin regime usually means that second-order statistics remain compatible with Obukhov–Corrsin, while higher-order structure functions depart from the dimensional law
\[
S_p(r)=\langle (\delta_r\theta)^p\rangle \propto r^{p/3}.
\]
Within the finite-scale Lyapunov analysis of temperature fluctuations in homogeneous isotropic turbulence, intermittency does not primarily appear as a modified \(-5/3\) second-order exponent. Instead, it enters through the longitudinal temperature derivative. The normalized derivative is represented as
\[
\frac {\vartheta_r}{\sqrt{\langle \vartheta_r^2 \rangle}}=
\frac{\xi+\psi(\eta^2-\zeta^2)}{\sqrt{1+4\psi^2}},
\qquad \psi=C\sqrt{Pe},
\]
and the resulting PDF is non-Gaussian, has null skewness, and develops broader tails as \(Pe\) increases. The corresponding flatness and hyperflatness rise with \(\psi\); in particular, Gaussian values \(H_4=3\) and \(H_6=15\) are recovered at \(\psi=0\), while \(H_4\to 9\) and \(H_6\to 225\) as \(\psi\to\infty\) [1202.4113].

A non-dynamical but explicit statistical analogue appears in the analysis of Ogata Kōrin’s *Red and White Plum Blossoms*, where the gray-scale luminance field
\[
\theta(x,y)=\frac{\lfloor Y(x,y)\rfloor_8}{255}
\]
is treated as a passive-scalar surrogate. Using a Gaussian-windowed Fourier transform in two circular river regions, the measured spectrum shows an intermediate-range power law close to \(k^{-5/3}\). The second-order structure function is roughly consistent with \(S_2(r)\sim r^{2/3}\), whereas in the scaling range \(r\approx 6\) to \(30\) pixels the fourth- and sixth-order exponents are reported to be approximately \(1.04\) and \(1.29\), rather than the non-intermittent values \(4/3\) and \(2\). The same work reports scale-dependent flatness and hyperflatness, non-Gaussian fat-tailed increment PDFs with no perfect collapse across scales, and an \(SO(2)\) decomposition indicating that anisotropy is not the main source of the deviations. It also emphasizes that the intermittency claim is sensitive to image quality and less robust in lower-resolution or spikier versions of the image [2501.09907].

## 3. Supercritical and codimension-sensitive rigorous formulations

In rigorous PDE theory, the intermittent Obukhov–Corrsin regime is formulated as a supercritical transport regime for rough divergence-free velocities. One precise realization is the condition
\[
\alpha+2\beta<1,
\]
with velocity regularity \(u\in L^{p^\circ}([0,1];C^\alpha(\mathbb T^2))\) and scalar regularity controlled uniformly in diffusivity in \(L^p_t C^\beta_x\). For this supercritical range, there exist bounded initial data such that the unique bounded solutions of
\[
\partial_t \vartheta^\kappa + u\cdot\nabla \vartheta^\kappa = \kappa \Delta \vartheta^\kappa
\]
satisfy
\[
\sup_{\kappa\in[0,1]}\|\vartheta^\kappa\|_{L^p([0,1];C^\beta(\mathbb T^2))}<\infty,
\]
while still exhibiting anomalous dissipation,
\[
\limsup_{\kappa\to 0}\kappa\int_0^1\!\!\int_{\mathbb T^2}|\nabla \vartheta^\kappa|^2\,dx\,dt>0.
\]
The proof uses the stochastic flow
\[
dX_t^\kappa = u(t,X_t^\kappa)\,dt+\sqrt{2\kappa}\,dW_t
\]
and the Feynman–Kac representation
\[
\vartheta^\kappa(t,x)=\mathbb E\bigl[\vartheta_{\rm in}(X_{0,t}^\kappa(x))\bigr].
\]
The same work also proves lack of selection by vanishing diffusivity and by convolution mollification: for every \(\alpha\in[0,1)\), there are \(C^\alpha\) divergence-free velocities for which distinct inviscid weak limit points coexist, one conserving \(L^2\) and another dissipating it [2207.06833].

A more explicitly intermittent formulation refines the regularity threshold by the dimension of the dissipation support. If
\[
u \in L^p([0,1],B^{\sigma,p}_\infty(T^2)),\qquad
\theta \in L^q([0,1], B^{\beta,q}_\infty(T^2)),
\]
and \(\theta\) solves
\[
\partial_t \theta + \nabla \cdot (u \theta) =0,
\]
then the dissipation distribution
\[
D := \partial_t \theta^2 + \nabla \cdot (u \theta^2)
\]
is assumed to be a Radon measure supported on a set \(S\) of Hausdorff dimension \(\gamma\in[0,3]\). If \(D\neq 0\), then one must have
\[
\frac{2\beta}{1-\sigma} \leq 1 - \Big(1 - \frac{2}{q} - \frac{1}{p}\Big)(3-\gamma).
\]
This is the codimension-sensitive intermittent Obukhov–Corrsin constraint. Its novelty is specific to \(\gamma<3\), where dissipation lies on a positive-codimension set. The same paper constructs an explicit divergence-free field \(V\in L^\infty([0,1],C^\alpha(T^2))\) whose dissipation measure is supported on countably many timeslices, and proves sharpness at the endpoint \(p=\infty\), \(\gamma=2\): whenever
\[
\frac{2\beta}{1-\sigma} < \frac{2}{q},
\]
there exist \(u\) and \(\theta\) with non-trivial negative Radon dissipation supported on
\[
S=\{1/2\}\times T^2.
\]
The same construction is also tied to asymptotic total dissipation, enhanced dissipation, Richardson dispersion, anomalous regularization, and spatial intermittency [2508.00115].

## 4. Anomalous regularization and annular spectral laws

A distinct rigorous direction proves the Obukhov–Corrsin spectrum in rough passive-scalar models without claiming an intermittent regime in the higher-moment sense. For passive scalar advection by a white-in-time Kraichnan-type transport noise with spatial Hölder regularity \(C_x^\alpha\), \(0<\alpha<1\), the classical rough-flow prediction
\[
\mathbb E_\mu |\theta(k)|^2 \approx |k|^{-d-(1-\alpha)}
\]
is shifted by the white-in-time scaling to
\[
\mathbb E_\mu |\theta(k)|^2 \approx |k|^{-d-2(1-\alpha)},
\]
corresponding to essentially \(H_x^{1-\alpha}\) regularity in equilibrium. The rigorous theorem does not establish a pointwise lower bound for each Fourier mode. It proves the predicted scaling only after summing over geometric annuli, and only up to logarithmic factors and slightly super-geometric shell widths. In the main Kraichnan examples, \(m=2\), and the total shell mass is bounded above and below by terms of order \(r^{2(1-\alpha)}\|F\|_{L^2}^2\) times logarithmic corrections [2512.02853].

The mechanism is anomalous regularization. For the free-decay problem
\[
\dot \theta_t^\kappa - \kappa \Delta \theta_t^\kappa + \circ du_t\cdot\nabla \theta_t^\kappa =0,
\]
one has the uniform decay estimate
\[
\mathbb E \|\theta_t^\kappa\|_{L^2}^2 \le C e^{-c t}\|\theta_0^\kappa\|_{L^2}^2,
\]
together with the time-integrated gain of roughly \(1-\alpha\) derivatives,
\[
\mathbb E\int_0^1 \sum_{k\neq 0}\frac{|k|^{2(1-\alpha)}{(\log|k|+1)^4}\,|\theta_t^\kappa(k)|^2\,dt \le C\|\theta_0^\kappa\|_{L^2}^2.
\]
This regularization is transferred to the invariant measure of the forced problem through
\[
\mathbb E_{\mu^\kappa}|\theta^\kappa(k)|^2 = \int_0^\infty \mathbb E|\theta_t^\kappa(k)|^2\,dt.
\]

The analytic core is a Fourier-space \(\ell^p\) energy identity and a weighted lattice Poincaré inequality. Writing \(a_k(t)=\mathbb E|\theta_t^\kappa(k)|^2\), the energy identity takes the form
\[
\frac{d}{dt}\sum_k a_k^p = -8\pi^2\kappa p\sum_k |k|^2 a_k^p -2\pi^2p\sum_{k,j}w_j^2|\Pi_{j^\perp}k|^2 \big(a_k-a_{k-j}\big)\big(a_k^{p-1}-a_{k-j}^{p-1}\big),
\]
and the weighted lattice estimate gives control of weighted Fourier mass by directional lattice differences. The admissible Kraichnan-type models include an isotropic choice
\[
w_k \sim |k|^{-d/2-\alpha}(\log|k|+1)^{-1}
\]
and an anisotropic shear model supported on coordinate axes,
\[
w_k \sim |k|^{-1/2-\alpha}(\log|k|+1)^{-1}
\quad\text{when }k_3=\cdots=k_d=0,
\]
subject to structural conditions on
\[
S(r)=\sum_{|k|\le r}|k|^{1+\alpha}w_k^2
\]
that exclude purely one-dimensional shears and ensure sufficient directional mixing. The paper explicitly states that intermittency corrections are expected only for moments \(>2\) and are not its focus; its contribution is a rigorous verification of the Obukhov–Corrsin regime with annular averaging and logarithmic losses, not a derivation of an intermittent spectrum [2512.02853].

## 5. Nonstationary and buoyancy-dominated generalizations

The Obukhov–Corrsin framework has also been generalized to nonstationary settings in which the scalar is globally active but effectively passive at inertial scales. In a turbulent puff evolving under the Oberbeck–Boussinesq equations, the strong-buoyancy regime occurs for
\[
t\gg t_b \equiv \frac{u_0}{\beta g T_0},
\]
and the bulk scales obey
\[
L(t)\sim L_0  (t_0/t_b)^{1/4} (t/t_0)^{1/2},\qquad
u_L  \sim u_0 (t_0/t_b)^{1/4} (t/t_0)^{-1/2},
\]
\[
T_L\sim  T_0 (t_b/t_0)^{3/4} (t/t_0)^{-3/2}.
\]
The underlying assumption is an adiabaticity hypothesis: small-scale fluctuations relax rapidly to the slowly evolving large-scale background. Under this hypothesis, the inertial range remains K41/OC-like, with time-dependent fluxes inherited from the puff dynamics [2107.13178].

The generalized Obukhov–Corrsin prediction for temperature increments in the buoyancy-dominated puff is
\[
\delta_r T (t)\sim \varepsilon_0^{1/2}\epsilon_0^{-1/6} r^{1/3}
\left ( \frac{t_b}{t_0}\right )^{5/6}
\left ( \frac{t}{t_0}\right )^{-5/3},
\]
while the viscous-range scalar increments satisfy
\[
\delta_r T (t) \sim r \left ( \frac{\varepsilon_0}{\nu}\right )^{1/2}
\left ( \frac{t_0}{t_b}\right )^{-3/4}
\left ( \frac{t}{t_0}\right )^{-2}.
\]
Intermittency is then incorporated through anomalous exponents imported from stationary turbulence, specifically
\[
\sigma_4=0.06,\qquad \sigma_6=0.27,\qquad \xi_4=0.24,\qquad \xi_6=0.37.
\]
The DNS evidence reported in that work includes collapse of second-, fourth-, and sixth-order structure functions after applying the predicted temporal prefactors, ESS slopes consistent with the intermittency-corrected theory, and clear disagreement between the data and the no-intermittency lines. The same paper explicitly contrasts this with a Bolgiano-type scenario and states that such a scale-by-scale buoyancy balance is not observed in the simulations. The resulting interpretation is that buoyancy modifies the large-scale amplitudes and time dependence, but the inertial-range scalar cascade remains in a generalized intermittent Obukhov–Corrsin class [2107.13178].

## 6. Scope, ambiguities, and recurrent misconceptions

Across the literature, the phrase “intermittent Obukhov–Corrsin regime” is used in several related but non-identical senses. In homogeneous isotropic turbulence and in statistical analogues, it usually means that the second-order Obukhov–Corrsin law remains approximately valid while higher-order structure functions, flatness, hyperflatness, or increment PDFs display anomalous scaling and non-Gaussianity [1202.4113, 2501.09907]. In rigorous transport theory, it refers instead to supercritical regularity regimes, codimension-localized dissipation measures, and integrability-dependent constraints on the admissible pair \((u,\theta)\) [2207.06833, 2508.00115].

A recurrent misconception is to identify every rigorous derivation of an Obukhov–Corrsin spectrum with an intermittency result. The Kraichnan-type annular spectrum theorem does not define or prove an intermittent Obukhov–Corrsin regime in the turbulence-physics sense; it derives the expected second-order spectrum on geometric annuli, modulo logarithmic losses, from anomalous regularization. Its own discussion states that intermittency corrections are expected only for moments \(>2\) and are not being addressed [2512.02853].

Another ambiguity concerns dynamical versus statistical evidence. Image-based analyses may show spectra, structure functions, and anisotropy tests that are statistically consistent with passive-scalar intermittency, but such evidence is not a dynamical derivation from transport equations. Conversely, closure theories based on Lagrangian separation or finite-scale Lyapunov analysis can supply dynamical mechanisms for cascade and finite-time development without, by themselves, fixing anomalous multiscaling exponents. The intermittent Obukhov–Corrsin regime is therefore best understood as a technically structured extension of the Obukhov–Corrsin framework, not as a single universally standardized model.

Source: https://www.emergentmind.com/topics/intermittent-obukhov-corrsin-regime