Estimate atmospheric stability quickly using surface turbulence measurements. Choose flux inputs and compare stability regimes. Export results and support boundary layer analysis today confidently.
The Monin–Obukhov length links shear production to buoyancy in the surface layer. A common expression is:
If you only have sensible heat flux H, the calculator uses w'θ' = H/(ρ·cp) as an approximation for w'θv'.
| Case | u* (m/s) | θv (K) | H (W/m²) | ρ (kg/m³) | cp (J/kg·K) | L (m) | Interpretation |
|---|---|---|---|---|---|---|---|
| Daytime convection | 0.35 | 302 | 200 | 1.18 | 1004 | −43.1 | Negative L, buoyancy supports turbulence. |
| Weakly stable evening | 0.25 | 295 | −30 | 1.22 | 1004 | +75.9 | Positive L, buoyancy suppresses turbulence. |
| Near-neutral windy | 0.60 | 300 | 10 | 1.20 | 1004 | −1670 | Large |L|, shear dominates buoyancy. |
The Monin–Obukhov length (L) is a stability scale for the atmospheric surface layer. It compares turbulence generated by wind shear with turbulence produced or suppressed by buoyancy. Knowing L helps you choose similarity corrections for near-surface wind and temperature profiles. It is also used to parameterize exchange of momentum, heat, and moisture in surface-flux models.
The sign of L shows whether buoyancy enhances or damps turbulence. Negative L is typically unstable, convective conditions driven by surface heating. Positive L indicates stable stratification with reduced mixing. Very large |L| suggests near-neutral flow dominated by shear.
This calculator accepts friction velocity (u*), virtual potential temperature (θv), and a heat-flux term. Enter kinematic virtual heat flux (w'θv') directly, or compute it from sensible heat flux (H), air density, and heat capacity. Optional κ, g, and reference height z support site conventions.
In many field datasets, u* spans roughly 0.05–1.5 m/s and θv is often 250–330 K. Kinematic flux magnitudes are commonly below a few tenths of K·m/s, depending on season and surface type. If u* is near zero, L becomes unstable; if flux is near zero, |L| can become extremely large.
Many applications use the non-dimensional parameter z/L. Small |z/L| (for example, below about 0.05) is close to neutral. Negative z/L reflects unstable stratification, while positive values reflect stable stratification. Reporting z/L at your measurement height improves comparability.
Virtual terms include moisture effects that modify buoyancy. If you only have sensible heat flux, the calculator estimates kinematic flux using H/(ρ·cp). Where humidity is important, using directly measured virtual flux generally yields a more defensible L.
Stability influences plume spread, eddy diffusivity, and surface exchange coefficients. With L and z/L, you can apply stability corrections to profiles and transfer relationships. Flux-gradient methods frequently rely on L to link observed gradients with turbulent fluxes.
Similarity theory works best over uniform terrain under quasi-steady conditions. Complex topography, sharp heterogeneity, and rapid transitions can violate assumptions. Document sensor height, averaging period, and flux processing choices so your reported L can be interpreted correctly.
It usually indicates near-neutral conditions where buoyancy effects are weak compared with shear, or where the heat-flux term is close to zero.
The sign is controlled by the buoyancy flux term. Heating tends to make L negative (unstable), while cooling tends to make L positive (stable).
Friction velocity and the heat-flux term both strongly affect L. Because u* is cubed, small errors in u* can create large changes in the result.
Yes. The calculator can approximate kinematic flux from H using air density and heat capacity. Virtual flux is preferred when moisture significantly affects buoyancy.
z/L is a standard stability parameter used in similarity functions and profile corrections. It helps compare stability across different heights and sites.
When the flux term approaches zero, the denominator becomes very small and L can become extremely large, making stability classification uncertain.
It works best in the surface layer over uniform terrain under quasi-steady conditions. Strong heterogeneity, obstacles, or rapid transitions can reduce reliability.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.