Artificial intelligence tools include software robots that can perform routine intensive processing tasks of data loading and control; conducting of analysis, detecting natural hazards in data streams and making decisions based on climate, forecast and observed data. Artificial intelligence can be used to better understand forecasts and predict the weather. The article presents a wide range of artificial intelligence applications that need to be developed in hydrometeorology. They are related to the collection, data search based on metadata and knowledge graphs, access to data, based on interaction with a chat-bot, forecast of hydrometeorological processes, possible impacts of natural hazards on enterprises and the population; training the population and leaders in behaviour during natural hazards.