Oregon researchers have developed a stable diffusion equation model to predict the behavior of snow particles in the atmosphere. This model takes into account the turbulent motion of the particles, the stability of the atmosphere, and the vertical and horizontal dispersion of the particles. By analyzing atmospheric data such as temperature, wind speed, and pressure, the model can simulate the diffusion of snow particles and provide insights into the impact of snow on air quality and visibility.

The results of this model can be used to inform critical decisions regarding snow removal, road closures, and other winter weather-related issues. Additionally, this model can help improve our understanding of how winter weather affects air quality and human health, which is especially important in areas that experience frequent snowfall.

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