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Artificial intelligence to predict climate and weather change

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Abstract

In recent years, the risk of natural disasters has been on the rise due to climate change and extreme weather events driven by global warming, thereby increasing the need for technology that can predict them. Existing weather forecasting technologies that are based on physical and numerical models are not highly accurate and have limitations as certain variables such as global warming are not taken into account. This paper will introduce technologies that utilize artificial intelligence to predict long-term climate change and short- to medium-term extreme weather events. These technologies are not only being actively researched at the basic level, but also are gradually being applied commercially.

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Graphical products from these experimental models are provided under a CC-BY-NC-SA-4 licence and ECMWF Terms of Use (https://charts.ecmwf.int/products/graphcast_medium-mslp-wind850).

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Author notes

  1. Soohwan Jeon and Junkyu Kim contributed to the paper equally.

Authors and Affiliations

  1. Energy Research Center, Research Institute of Industrial Science and Technology, Pohang, 37673, Korea

    Soohwan Jeon & Junkyu Kim

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  1. Soohwan Jeon
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  2. Junkyu Kim
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Correspondence to Soohwan Jeon.

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Jeon, S., Kim, J. Artificial intelligence to predict climate and weather change. JMST Adv. 6, 67–73 (2024). https://doi.org/10.1007/s42791-024-00068-y

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