Bibliography

Bibliography#

[KSAA21]

Prashant Kumar, Erick G. Sperandio, and Taciana Toledo De Almeida Albuquerque. Applications of artificial intelligence in atmospheric sciences. Atmosphere, 2021. URL: https://www.mdpi.com/journal/atmosphere/special_issues/Artificial_Intelligence.

[SS19]

Sancho Salcedo-Sanz. Application of machine learning in atmospheric sciences and climate physics. Atmosphere, 2019. URL: https://www.mdpi.com/journal/atmosphere/special_issues/Artificial_Intelligence_Climate_Physics.

[SBB+23]

Tapio Schneider, Swadhin K. Behera, Giulio Boccaletti, Clara Deser, Kerry Emanuel, Raffaele Ferrari, L. Ruby Leung, Ning Lin, A. R. Ravishankara, and Bjorn Stevens. Harnessing ai and computing to advance climate modelling and prediction. Nature Climate Change, 13:519–527, 2023. URL: https://www.nature.com/articles/s41558-023-01769-3, doi:10.1038/s41558-023-01769-3.

[ZLWC21]

Lianming Zheng, Rui Lin, Xuemei Wang, and Weihua Chen. The development and application of machine learning in atmospheric environment studies. Remote Sensing, 13(23):4839, 2021. URL: https://www.mdpi.com/2072-4292/13/23/4839, doi:10.3390/rs13234839.