Overview

• Scientists used 3D-printed snowflakes to study their descent in a water-glycerine mixture, simulating atmospheric conditions.
• The study identified four distinct falling patterns: stable, zigzag, transitional, and spiraling, affecting precipitation formation.
• Complex snowflake shapes tend to fall more stably, while simpler shapes are prone to instability and greater sideways movement.
• Understanding snowflake movement can help meteorologists interpret radar signals more accurately, improving rain and snow forecasts.
• The research also offers insights into cloud reflectivity and the potential for enhanced climate models and long-term weather predictions.