Turn raw weather data into a stable metric. Ideal for meteorology, aviation, and lab work. See altitude effects clearly using standardized reference conditions today.
Potential temperature (θ) is the temperature an air parcel would have if brought adiabatically to a chosen reference pressure (P₀).
| Temperature (°C) | Pressure (hPa) | Reference (hPa) | Kappa | Potential temperature (K) |
|---|---|---|---|---|
| 20 | 1000 | 1000 | 0.2854 | 293.15 |
| 10 | 900 | 1000 | 0.2854 | ~292.6 |
| -5 | 800 | 1000 | 0.2854 | ~292.0 |
| 30 | 950 | 1000 | 0.2854 | ~309.1 |
Values marked with ~ are rounded reference examples for typical conditions.
Potential temperature (θ) is the temperature an air parcel would have after a dry, adiabatic move to a standard pressure. Since pressure changes with height, raw temperature can mislead. θ removes most compression effects, letting you compare air properties across altitudes more fairly.
A common choice is P₀ = 1000 hPa, close to sea-level pressure. Keeping one reference improves consistency in maps and soundings. If you choose another P₀ for a study, report it clearly, because θ depends on (P₀/P)κ.
Near the surface, θ often ranges from about 280 to 320 K, varying with climate and season. Daytime heating and mixing can raise θ in the boundary layer. Cooler maritime layers tend to show lower θ and smaller day-to-day swings.
The vertical gradient of θ is a compact stability signal. If θ increases with height, the layer is stable. A nearly constant θ layer is close to neutral and well mixed. During dry adiabatic motion, θ stays conserved while temperature decreases at roughly 9.8 K per kilometer.
κ equals R/cp and is typically 0.2854 for dry air. Changing κ slightly changes θ, especially at lower pressures where P₀/P grows. For operational work, the default κ is usually sufficient, but sensitivity work should log the value used.
θ helps track air masses and frontal zones because it filters out much of the height effect. Forecasters compare θ at the surface and 850 hPa to estimate boundary-layer depth and warm or cold advection. Persistent low θ near the ground can indicate cold pools and fog-prone conditions. It also supports fast comparisons during pressure swings.
In aviation, θ supports identifying inversions and potential turbulence near terrain and jets. For smoke or pollutant dispersion, increasing θ with height suggests weaker vertical mixing and higher surface impacts. In field work, θ enables comparison of radiosondes launched from different elevations.
Use station pressure, not sea-level pressure, to avoid biased θ at altitude. Ensure temperature is treated as Kelvin internally; this tool converts °C and K. Low-pressure cases amplify measurement errors, so check sensor calibration. For humid air, consider virtual potential temperature for density effects.
It estimates how warm an air parcel would be at a chosen reference pressure after a dry, adiabatic change. This makes it easier to compare air masses across different altitudes.
1000 hPa is close to mean sea-level pressure and is a standard meteorological reference. Using a consistent P₀ lets profiles and maps be compared across locations and times.
Use station pressure measured at your location. Sea-level pressure is corrected for elevation and will distort the thermodynamic comparison, especially for mountain or plateau stations.
For dry air, κ ≈ 0.2854 is widely used. If you have a specific thermodynamic model or custom cp and R values, you can enter a different κ for consistency.
In an ideal dry adiabatic process, θ stays constant. If you observe θ changing with height, it usually indicates mixing, radiative effects, condensation, or measurement and conversion errors.
When θ increases with height, the layer is stable and resists vertical motion. Nearly constant θ indicates neutral mixing, while decreasing θ with height suggests potential instability.
This tool is best for dry-air comparisons. In humid environments, water vapor affects density and buoyancy. Consider virtual potential temperature or equivalent potential temperature for moisture-aware analysis.
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.