If you're looking for a service that offers a unified interface to weather forecasts from multiple sources, Weather Machine is a great choice. It combines data from sources like The Weather Company, AccuWeather and AerisWeather into one interface. The service is geared for developers and companies that want to tap into weather data without the hassle of juggling multiple APIs. Weather Machine offers a variety of plans, including a relatively cheap Adapter Only plan and a fuller-featured "The Works" plan.
Another interesting service is Tomorrow.io, a weather resilience platform that offers hyper-accurate weather data and forecasts, including real-time data and historical weather records. The service supports probabilistic forecasting and offers data through JSON interfaces. It's geared for businesses that need to assess weather risks and take proactive measures, so it could be a good choice for supply chain and disaster recovery services.
For that specific use case, Atmo offers AI-based weather forecasting that ingests data from multiple sources and uses deep learning to produce hyperlocal forecasts. Its faster and more detailed forecasts than traditional models make Atmo a good choice for applications that need detailed, localized weather data. It's geared for government and enterprise customers, with forecasts as fine as 1km by 1km resolution.
Finally, Rainbow offers a hyperlocal weather app and API with AI-based forecasts. It offers updates with 1-minute temporal resolution and 1 sq km spatial resolution, which could be useful for businesses that need very localized weather data. The API can be used for services like ridesharing, same-day delivery and agriculture, and Rainbow offers flexible pricing plans to accommodate different needs.