Artificial Intelligence is changing the way we understand and predict weather in cities. Unlike traditional models that provide wide-area forecasts, AI can process real-time urban data — including traffic flows, air quality, and heat distribution — to give street-level insights.
Imagine knowing not just if it will rain in your city, but whether your neighborhood will see heavy rainfall while another part remains dry. This kind of hyper-local prediction is becoming possible thanks to machine learning algorithms that continuously improve with data.
For residents, this means better preparedness for daily commutes, events, and outdoor activities. For city planners, it means smarter resource management and quicker emergency responses.
