The Authors' Original Concept of Climate Hazard Management by Means of Artificial Intelligence

The aim of this chapter is to present the authors’ original concept of climate hazard management by means of artificial intelligence. The scope of the chapter covers issues related to the artificial intelligence model in climate hazard management and is based on four pillars, namely natural climate hazards (NZK1, NZK2,......NZKn), human-induced climate hazards (CZK1, CZK2,..... CZKn), climate anomalies (AK1, AK2,.....AKn) and climate dysfunctions (DK1, DK2, ...DKn). The subject of the chapter is to present the authors’ concept of climate hazard management using artificial intelligence in relation to climate data processed by artificial intelligence. The climate data processed by artificial intelligence in these four pillars is used to make core strategic and tactical–operational decisions by decision-makers in the area of climate and climate change management. AI solutions are implemented on the basis of the operational logic of artificial intelligence adopted in this topic. Historical climate data and climate knowledge are processed. They are obtained from secondary data and through appropriate artificial intelligence sensors and detectors. The operational logic of artificial intelligence is based on action in the machine–human relationship. Decision-making entities, on the other hand, manage the AI system and implement AI monitoring and measurement processes based on processed climate data resulting from multiple climate data sets. For this purpose, dedicated, specialized AI tools are used.