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You may have You’ve noticed a decline in AI in your weather app recently. While companies race to pump it Artificial intelligence in every productThe wave has come for humble weather application.
The Weather Company, operator of The Weather Channel, today released a revised version of its software Storm radar The app, which features an AI-powered weather assistant that allows users to customize how forecasts and weather maps are displayed, switching between layers such as radar, temperature, and weather conditions such as wind and lightning.
It can also sync with other apps, like your calendar, to send text notifications and weather summaries that link information about upcoming weather to your daily plans. You can paste a voice over to speak like an old weatherman, if you like. Like most weather apps, it gets data from National Oceanic and Atmospheric Administration (NOAA) and the National Weather Service (NWS).
The app costs $4 per month and is only available on iOS for now, but the company says an Android version will eventually come.
“We wanted to build an experience that would raise the bar on weather for anyone, really, from the casual observer to the seasoned storm chaser,” says Joe Koval, a senior meteorologist at The Weather Company. “If you’re looking for advice on when the weather will be good to walk your dog tomorrow, you’ll no longer have to look at a bunch of different weather data elements and try to figure out the answer to that question yourself.”
You can find the weather on your phone already, of course. Android and iOS devices usually place weather prominently alongside the time. Both Google and Apple have integrated their weather apps directly into their smartphones. Since then, AI features have been integrated, providing insights and summaries about the day ahead.
But there are a lot of third-party weather apps, like Storm Radar, Islands weather, He opposed the rainand Peak weather– Application from Previous Dark Sky app Creative people. New weather apps like Rainbow weather Aiming to be AI first. Weather services are also being integrated directly into AI chatbots, such as Accuweather, which was recently introduced I launched the application Directly in OpenAI’s ChatGPT.
“Everyone has their idea of what they want in a weather app, what data they care about, and how they care about presenting it,” says Adam Grossman, founder of DarkSky. “How do you create a one-size-fits-all weather app?”
DarkSky, has been one of the most popular weather apps on iOS Bought by Apple In 2020 and was merged into Apple Weather service. Grossman eventually left Apple to start Acme Weather, with the goal of creating a weather forecasting service that could better telegraph uncertainty in forecasting.
“No matter how good your predictions are, you will be wrong,” Grossman says. “This is something weather apps haven’t traditionally done a great job of doing. Our approach is trying to figure out how to add those pieces of context back in.”
Weather information repositories usually come from government sources, such as the National Oceanic and Atmospheric Administration (NOAA) or other global weather services that collect data from weather satellites, radar, weather balloons, and instruments on the ground. All this data is fed into weather prediction models that simulate the physics of the atmosphere. These predictions are often generated by resource-intensive supercomputers, but machine learning models have scaled back that processing, making the predictions faster. (Although it is sometimes less accurate, which can be explained by comparing multiple models.)
Weather apps like Storm Radar and Acme Weather translate this wealth of information by supporting and aggregating models, then helping to create high-resolution maps and visual representations of the data, an area where AI can be particularly useful.