If you want a weather app that will give you minute-by-minute forecasts for your own location, Atmo is a good option. Atmo combines AI and deep learning models to create hyperlocal weather forecasts that can be up to 50% more accurate than other methods. It also can provide forecasts at an unprecedented speed and resolution that's good for apps that need weather information that's both timely and accurate.
Another option is Tomorrow.io, a weather resilience platform that includes hyperlocal weather data and forecasts. It offers real-time weather data, a weather forecast API and probabilistic forecasting. The service is geared for companies trying to manage weather risks and make decisions ahead of time, so it's good for supply chain and disaster recovery apps.
If you want hyperlocal forecasts with high resolution, Rainbow is another option. The app offers updates for the next 2 hours with 1-minute temporal resolution and 1 sq km spatial resolution. Its API is geared for businesses that need hyperlocal weather data, like ridesharing and same-day delivery, so it can be a good tool for decision making.
Last, Tempest offers location-specific weather observations and forecasts through its Tempest app. With AI-based Nearcast Technology, it creates precise point forecasts by combining data from multiple sources. That means it can be a good tool for making decisions, and it integrates with popular smart home services like Google Home and Amazon Alexa.