Current and future machine learning approaches for modeling atmospheric cluster formation-Reference-Cited by-同舟云学术

Current and future machine learning approaches for modeling atmospheric cluster formation

Published:2023-06-26 Issue:6 Volume:3 Page:495-503
ISSN:2662-8457
Container-title:Nature Computational Science
language:en
Short-container-title:Nat Comput Sci

Author:

Kubečka Jakub^ORCID,Knattrup Yosef^ORCID,Engsvang Morten^ORCID,Jensen Andreas Buchgraitz^ORCID,Ayoubi Daniel^ORCID,Wu Haide^ORCID,Christiansen Ove,Elm Jonas^ORCID

Funder

Det Frie Forskningsråd

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Link

https://www.nature.com/articles/s43588-023-00435-0.pdf

Reference119 articles.

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4. Spracklen, D. V. et al. The contribution of boundary layer nucleation events to total particle concentrations on regional and global scales. Atmos. Phys. Chem. 6, 5631–5648 (2006).

5. Kulmala, M. et al. Direct observations of atmospheric aerosol nucleation. Science 339, 943–946 (2013).

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