Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of Earth’s surface comes down to complex microphysical processes, and as College of Engineering Associate Professor and UConn Atmospheric and Air Quality Modeling Group Leader Marina Astitha puts it, nature is chaotic.



Summary

Weather forecasting is a complex challenge due to the chaotic nature of atmospheric processes. Predicting weather accurately, even over small areas, involves understanding intricate microphysical interactions. According to Professor Marina Astitha, the inherent chaos in nature makes precise and reliable weather predictions exceedingly difficult. This complexity stems from the numerous factors that influence weather patterns, making long-term or even short-term forecasts inherently uncertain.

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