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The application of artificial intelligence to comprehend the impact of ions on cloud formation and electrification processes

Year: 2024

Type: conference-paper

Abstract: Artificial intelligence (AI) is vital to understanding cloud electrification processes, as it allows for prediction of extreme weather phenomena and clarification of the role of ions in cloud formation and electrification. Utilizing AI models, especially those based on machine learning, permits the thorough study of intricate data sets to discern patterns, hence by which knowledge of cloud behaviour and electrification processes are enhanced. AI prediction would help to enhance the standard of meteorological forecasting and consequently safeguard the public by better informing them in advance of disasters. AI also supports the simulation of ion interactions in cloud systems, provide insights into how pollution and atmospheric composition affect the behaviour and electrification of clouds.

Source: International Conference on Information Management & Machine Intelligence (ICIMMI)

DOI: 10.1145/3745812.3745847

Authors: Mukesh Chandra, Uday Pratap Singh, Ebtasam Ahmad Siddiqui, Saurabh Raj, Dinesh Goyal

Institutions: Poornima Institute of Engineering and Technology, National Institute of Technology Raipur, Motilal Nehru National Institute of Technology

Language: English

Topic: Lightning and Electromagnetic Phenomena

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

SDGs: Climate action, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4413915563

FWCI:

Cites: 3

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Related to: 10