Abstract
Climate change is a major global challenge that requires the integration of many different scientific disciplines, including atmospheric science, oceanography, and ecology. The complexity and scale of the problem require sophisticated tools and techniques to understand, model, and project future climate conditions. Artificial intelligence and natural language processing technologies, such as ChatGPT, have the potential to play a critical role in advancing our understanding of climate change and improving the accuracy of climate projections. ChatGPT can be used in a variety of ways to aid climate research, including in model parameterization, data analysis and interpretation, scenario generation, and model evaluation. This technology provides researchers and policy-makers with a powerful tool for generating and analyzing different climate scenarios based on a wide range of data inputs, and for improving the accuracy of climate projections. The author acknowledges asking chatGPT questions regarding its uses for Climate Change Research. Some of the uses that it states are possible now and some are potentials for the future. The author has analyzed and edited the replies of chat GPT.
References
Huntingford, Chris, et al. "Machine learning and artificial intelligence to aid climate change research and preparedness." Environmental Research Letters. 14.12 (2019): 124007.
Kadow, Christopher, David Matthew Hall, and Uwe Ulbrich. "Artificial intelligence reconstructs missing climate information." Nature Geoscience 13.6 (2020): 408–413.
Woo, Tae Ho. "Artificial intelligence-based modelling for global warming analysis incorporated with the nuclear energy productions." International Journal of Global Warming. 17.4 (2019): 389-400..
Acknowledgments
The author acknowledges that this article was partially generated by ChatGPT (powered by OpenAI's language model, GPT-3; http://openai.com). The editing was performed by the author.
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Associate Editor Stefan M. Duma oversaw the review of this article.
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Biswas, S.S. Potential Use of Chat GPT in Global Warming. Ann Biomed Eng 51, 1126–1127 (2023). https://doi.org/10.1007/s10439-023-03171-8
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DOI: https://doi.org/10.1007/s10439-023-03171-8