Related Experiment Video
Updated: Oct 17, 2025

12:21
Determination of the Friction Coefficients of Icy Pavements Under Different Amounts of Snowfall
Published on: January 6, 2023
3.7K
Simple method to estimate the optical turbulence over snow and ice
Summary
A new physics-based method accurately estimates optical turbulence (Cn2) over snow and ice using an improved Tatarski equation. This method shows potential for forecasting atmospheric turbulence in polar regions.
Area of Science:
- Atmospheric Physics
- Polar Meteorology
- Optical Turbulence
Background:
- Accurate estimation of optical turbulence (Cn2) is crucial for atmospheric studies, especially in polar regions.
- Existing models may require refinement for snow and ice surfaces.
- The surface layer's optical properties are influenced by unique environmental conditions.
Purpose of the Study:
- To propose a simple, physics-based method for estimating optical turbulence (Cn2) in the surface layer over snow and ice.
- To validate the proposed method against observational data and compare it with established theories.
- To assess the potential of the method for operational forecasting applications.
Main Methods:
- Utilized the Tatarski equation with an enhanced outer scale model, incorporating wind shear and temperature gradients.
- Collected atmospheric parameter data using a mobile polar measurement system at the Antarctic Taishan Station.
- Estimated Cn2 using the improved Tatarski equation and Monin-Obukhov similarity (MOS) theory.
Main Results:
- The improved Tatarski equation showed a correlation coefficient of 0.72 (log10(Cn2)) against micro-thermometer measurements.
- The Tatarski equation provided a slightly more accurate representation of Cn2 trends and magnitudes compared to MOS theory.
- The proposed method demonstrated good agreement with empirical measurements.
Conclusions:
- The developed physics-based method offers a viable approach for estimating optical turbulence over snow and ice.
- The improved outer scale model enhances the accuracy of Cn2 estimations in polar environments.
- This method holds promise for improving optical turbulence forecasting in challenging polar conditions.

