Question: I'm looking for a weather API that uses government data and offers raw model data with minimal processing.

If you're looking for a weather API that uses government data and offers raw model data with minimal processing, Pirate Weather is an excellent choice. It provides raw model data from sources like NOAA and other government agencies, ensuring transparency in forecast generation. This API supports multiple model sources, sub-hourly forecasts, and various customization options, making it suitable for users who need detailed and reliable weather data.

Another strong contender is Atmo, which uses a wide range of sources including satellites, ground stations, and radars to deliver hyper-local weather forecasts. Atmo's deep learning models continuously update and improve forecasts, offering unprecedented speed and detail, making it ideal for applications requiring high accuracy and hyper-local insights.

For a comprehensive weather resilience platform, consider Tomorrow.io. It offers real-time and historical weather data, along with probabilistic forecasting and a generative AI for personalized weather outlooks. This platform is designed to help businesses manage and mitigate the impact of weather-related challenges, making it useful for industries such as supply chain management and disaster recovery.