For a weather service with 1-minute temporal resolution and 1 sq km spatial resolution, Rainbow is another top contender. Rainbow offers hyperlocal weather forecasts with 1-minute temporal resolution and 1 sq km spatial resolution for any 1x1 km area. This service is targeted at businesses that need hyperlocal weather data, including ridesharing, same-day delivery, aviation and other industries. The API is geared for real-time decision-making and offers tiered pricing, including pay-as-you-go options.
Another good option is Atmo, an AI-based weather forecasting service that offers hyper-local weather forecasts with up to 100 times more detail than conventional models. Atmo's approach is geared for nano-climates, and it can offer forecasts for models as small as 1km by 1km, so it's well suited for applications that need very small-scale weather information. The service is geared for government and enterprise customers.
Tomorrow.io also offers a full suite of weather resilience services, including hyper-accurate weather data and forecasts. It doesn't quite reach the 1-minute temporal resolution, but it offers real-time weather data and probabilistic forecasting that can be useful for businesses that need to mitigate weather risks and take proactive actions. Tomorrow.io is geared for supply chain management and disaster recovery.
If you want a service that aggregates and unifies weather data from multiple APIs, Weather Machine could be a good option. It combines data from sources like The Weather Company, AccuWeather and AerisWeather into a single interface, offering a unified interface for developers and businesses to incorporate weather data into their apps. Weather Machine's forecast-aware caching system can cut data usage dramatically, making it a relatively economical option for apps that incorporate weather data.