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.
Authors
- Saurabh Raj (ORCID: https://orcid.org/0000-0002-5196-1544)
- Ebtasam Ahmad Siddiqui (ORCID: https://orcid.org/0000-0002-0323-5441)
- Uday Pratap Singh (ORCID: https://orcid.org/0000-0001-7573-8550)
- Dinesh Goyal (ORCID: https://orcid.org/0000-0001-5442-5870)
- Mukesh Chandra (ORCID: https://orcid.org/0009-0000-3468-199X)
Institutions
- Motilal Nehru National Institute of Technology (IN)
- National Institute of Technology Raipur (IN)
- Poornima University (IN)
Publication Details
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1145/3745812.3745847
- Primary Topic
- Advanced Data Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00