Articles | Volume 17, issue 18
https://doi.org/10.5194/gmd-17-7001-2024
https://doi.org/10.5194/gmd-17-7001-2024
Development and technical paper
 | 
19 Sep 2024
Development and technical paper |  | 19 Sep 2024

Enabling high-performance cloud computing for the Community Multiscale Air Quality Model (CMAQ) version 5.3.3: performance evaluation and benefits for the user community

Christos I. Efstathiou, Elizabeth Adams, Carlie J. Coats, Robert Zelt, Mark Reed, John McGee, Kristen M. Foley, Fahim I. Sidi, David C. Wong, Steven Fine, and Saravanan Arunachalam

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Cited articles

Adams, E.: CMAQ Model Version 5.3.3 Input Data – 12/22/2015 – 01/31/2016 12km CONUS2 (12US2), UNC Dataverse, V1 [data set], https://doi.org/10.15139/S3/CFU9UL, 2024. 
Adams, L. and Efstathiou, C.: CMASCenter/cyclecloud-cmaq: CMAQ on Azure Tutorial Version 5.3.3 (v5.33), Zenodo [code], https://doi.org/10.5281/zenodo.10696804, 2024a. 
Adams, E. and Efstathiou, C.: CMAQv5.3.3 on Azure Tutorial, https://cyclecloud-cmaq.readthedocs.io/en/cmaqv5.3.3/, last access: 20 June 2024b. 
Adams, L., Foley, K., and Efstathiou, C.: CMASCenter/pcluster-cmaq: CMAQ on AWS Tutorial Version 5.3.3 (v5.33), Zenodo [code], https://doi.org/10.5281/zenodo.10696908, 2024b. 
Adams, E., Foley, K., and Efstathiou, C.: CMAQv5.3.3 on AWS Tutorial, https://pcluster-cmaq.readthedocs.io/en/cmaqv5.3.3/, last access: 20 June 2024b. 
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Short summary
We present a summary of enabling high-performance computing of the Community Multiscale Air Quality Model (CMAQ) – a state-of-the-science community multiscale air quality model – on two cloud computing platforms through documenting the technologies, model performance, scaling and relative merits. This may be a new paradigm for computationally intense future model applications. We initiated this work due to a need to leverage cloud computing advances and to ease the learning curve for new users.
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