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

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.

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Published
2024-12-23
DOI
https://doi.org/10.1145/3745812.3745847
Primary Topic
Advanced Data Processing Techniques
Type
article
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article

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

Saurabh Raj, Ebtasam Ahmad Siddiqui, Uday Pratap Singh, Dinesh Goyal et al.
Advanced Data Processing Techniques
article

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

Saurabh Raj, Ebtasam Ahmad Siddiqui, Uday Pratap Singh, Dinesh Goyal, Mukesh Chandra
article en

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.

Motilal Nehru National Institute of Technology (IN), National Institute of Technology Raipur (IN), Poornima University (IN)
Openalex Percentile: Top 61%
Advanced Data Processing Techniques
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