Saulo explains how warming waters in the central Pacific can alter weather patterns thousands of miles away, increasing the likelihood of heavier rainfall in some regions while bringing drier conditions to others. While every El Niño is different, she says years of monitoring and forecasting now allow meteorologists to better anticipate those impacts and give governments and communities more time to prepare.
But a forecast is only useful if people can act on it. Saulo discusses the coordination required to translate global weather data into regional and local warnings, particularly as extreme weather events demand increasingly rapid responses. Effective early-warning systems, she says, depend not only on forecasting but also on understanding risk, communicating warnings, and ensuring communities know how to respond.
AI is accelerating that work. From analyzing vast amounts of data and running forecasting models faster to translating warnings into multiple languages almost instantly, Saulo says the technology is helping meteorologists turn information into actionable warnings more quickly. The challenge now is ensuring those tools and warnings reach people in ways that reflect their language, culture, and local circumstances.
This conversation is part of GZERO Media’s Global Stage series, bringing together leaders and experts to discuss the major issues shaping our world.
