Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model

Jiawei Zhuang; Daniel J. Jacob; Haipeng Lin; Elizabeth W. Lundgren; Robert M. Yantosca; Judit Flo Gaya; Melissa P. Sulprizio; Sebastian D. Eastham

doi:10.1029/2020MS002064

Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model

Jiawei Zhuang, Daniel J. Jacob, Haipeng Lin, Elizabeth W. Lundgren, Robert M. Yantosca, Judit Flo Gaya, Melissa P. Sulprizio, Sebastian D. Eastham

Atmospheric Modeling and Predictability

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Original language	English
Article number	e2020MS002064
Number of pages	21
Journal	Journal of Advances in Modeling Earth Systems
Volume	12
Issue number	5
DOIs	https://doi.org/10.1029/2020MS002064
State	Published - May 2020

Keywords

Earth science modeling
Cloud computing
High-performance computing

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10.1029/2020MS002064

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Zhuang, J., Jacob, D. J., Lin, H., Lundgren, E. W., Yantosca, R. M., Gaya, J. F., Sulprizio, M. P., & Eastham, S. D. (2020). Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model. Journal of Advances in Modeling Earth Systems, 12(5), Article e2020MS002064. https://doi.org/10.1029/2020MS002064

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title = "Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model",

keywords = "Earth science modeling, Cloud computing, High-performance computing",

author = "Jiawei Zhuang and Jacob, \{Daniel J.\} and Haipeng Lin and Lundgren, \{Elizabeth W.\} and Yantosca, \{Robert M.\} and Gaya, \{Judit Flo\} and Sulprizio, \{Melissa P.\} and Eastham, \{Sebastian D.\}",

year = "2020",

month = may,

doi = "10.1029/2020MS002064",

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Zhuang, J, Jacob, DJ, Lin, H, Lundgren, EW, Yantosca, RM, Gaya, JF, Sulprizio, MP & Eastham, SD 2020, 'Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model', Journal of Advances in Modeling Earth Systems, vol. 12, no. 5, e2020MS002064. https://doi.org/10.1029/2020MS002064

TY - JOUR

T1 - Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores

T2 - Application to the GEOS-Chem Atmospheric Chemistry Model

AU - Zhuang, Jiawei

AU - Jacob, Daniel J.

AU - Lin, Haipeng

AU - Lundgren, Elizabeth W.

AU - Yantosca, Robert M.

AU - Gaya, Judit Flo

AU - Sulprizio, Melissa P.

AU - Eastham, Sebastian D.

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KW - Earth science modeling

KW - Cloud computing

KW - High-performance computing

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JO - Journal of Advances in Modeling Earth Systems

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Enabling High-Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS-Chem Atmospheric Chemistry Model

Keywords

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