Artificial intelligence and machine learning in earth system sciences with special reference to climate science and meteorology in South Asia

Singh, M and Kumar, B and Chattopadhyay, R and Amarjyothi, K and Sutar, AK and Roy, S and Rao, SA and Nanjundiah, RS (2022) Artificial intelligence and machine learning in earth system sciences with special reference to climate science and meteorology in South Asia. In: Current Science, 122 (9). pp. 1019-1030.

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Abstract

This study focuses on the current problems in earth system science (ESS), where machine learning (ML) algorithms can be applied. It provides an overview of previous studies, ongoing work at the Ministry of Earth Sciences, Government of India, and future applications of ML algorithms to some significant earth science problems. We compare previous studies, a mind map of multidimensional areas related to ML and Gartner’s hype cycle for ML in ESS. We mainly focus on the critical components in earth sciences, including studies on the atmosphere, oceans, biosphere, hydrogeology, human health and seismology. Various artificial intelligence (AI)/ML applications to problems in the core fields of earth sciences are discussed, in addition to gap areas and the potential for AI techniques. © 2022, Current Science

Item Type:	Journal Article
Publication:	Current Science
Publisher:	Indian Academy of Sciences
Additional Information:	The copyright for this article belongs to Indian Academy of Sciences.
Department/Centre:	Division of Mechanical Sciences > Divecha Centre for Climate Change Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences
Date Deposited:	06 Jun 2022 06:21
Last Modified:	06 Jun 2022 06:21
URI:	https://eprints.iisc.ac.in/id/eprint/73150

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