AI and Climate Decision-Making: From Weather Models to Enterprise Operating Systems

AI is not just improving weather forecasts. It is turning weather, climate, and atmospheric chemistry information into decision infrastructure. AI and Climate Decision-Making explores how AI weather models, satellites, geospatial data, climate risk analytics, and environmental observations are entering enterprise operations, financial models, insurance, supply chains, methane monitoring, air quality services, and environmental regulation. The book discusses technologies and cases such as GraphCast, GenCast, AIFS, Tomorrow.io, Jupiter Intelligence, ClimateAi, GHGSat, Carbon Mapper, MethaneSAT, Kayrros, and Climate TRACE. Its central argument is simple: the future of AI climate services is not a smarter weather app, but the integration of climate intelligence into enterprise operating systems and public decision-making.