Improving the hindcast of the northward shift of South Asian high in June with machine learning

Zeng, Feng; Gui, Shu; Yang, Ruowen; Yang, Huan; Han, Yuheng; Ma, Ji; Dong, Zizhen; Cheng, Jinxin

doi:10.1016/j.atmosres.2023.107173

Atmospheric Research

2024

DOI: 10.1016/j.atmosres.2023.107173

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Improving the hindcast of the northward shift of South Asian high in June with machine learning

Feng Zeng,

Shu Gui,

Ruowen Yang

et al.

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Cited by 1 publication

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Adapting to climate change: the role of metaheuristic algorithms in optimal decision making

Obaideen,

AlShabi,

Bonny

2024

Pattern Recognition and Tracking XXXV

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This study investigates the use of metaheuristic algorithms for adaptation to climate change and decision making, presenting literature from 1997 to 2023. Our investigation of the matter shows that metaheuristic algorithms are central in trying to deal with climate change complexity as it has a high annual growth rate and wide interdisciplinary effort. These algorithms, specifically genetic algorithms and particle swarm optimization have been applied in several areas including energy efficiency and sustainable development. This shows their flexibility to different response thus the use of these approaches may help form resilient adaptation methods. In its turn, the research gives substantial information on strategic development using metaheuristic algorithms, yet, it has some limitations such as probable coverage gaps and geographical focus of efforts. The empirical validation in real-world settings should be the future research that will investigate their application to underrepresented areas therefore, promoting interdisciplinary collaborations in accordance with global adaptation needs. In conclusion, the study reveals the great potential of metaheuristic algorithms in fostering climate change adaptation and calls for further research to enhance inclusive, effective and sustainable methods.

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Adapting to climate change: the role of metaheuristic algorithms in optimal decision making

Obaideen,

AlShabi,

Bonny

2024

Pattern Recognition and Tracking XXXV

View full text Add to dashboard Cite

show abstract

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Improving the hindcast of the northward shift of South Asian high in June with machine learning

Cited by 1 publication

References 49 publications

Adapting to climate change: the role of metaheuristic algorithms in optimal decision making

Adapting to climate change: the role of metaheuristic algorithms in optimal decision making

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