CC-RRTMG_SW++: Further optimizing a shortwave radiative transfer scheme on GPU-Reference-Cited by-同舟云学术

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CC-RRTMG_SW++: Further optimizing a shortwave radiative transfer scheme on GPU

Published:2022-05-18 Issue:15 Volume:78 Page:17378-17402
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Li Fei,Wang Yuzhu^ORCID,Wang Zhenzhen,Ji Xiaohui,Jiang Jinrong,Tang Xiaoyong,Zhang He

Funder

National Natural Science Foundation of China

GHFUND A

National Key Scientific and Technological Infrastructure project

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-022-04566-5.pdf

Reference35 articles.

1. Javadinejad S, Eslamian S, Ostad-Ali-Askari K (2021) The analysis of the most important climatic parameters affecting performance of crop variability in a changing climate. Int J Hydrol Sci Technol 11(1):1–25

2. Mielikainen J, Price E, Huang B, Huang HLA, Lee T (2015) GPU compute unified device architecture (CUDA)-based parallelization of the RRTMG shortwave rapid radiative transfer model. IEEE J Selected Topics Appl Earth Observ Remote Sens 9(2):921–931

3. Michalakes J, Vachharajani M (2008) GPU acceleration of numerical weather prediction. Parallel Process Lett 18(04):531–548

4. Clough S, Shephard M, Mlawer E, Delamere J, Iacono M, Cady-Pereira K, Boukabara S, Brown P (2005) Atmospheric radiative transfer modeling: a summary of the AER codes. J Quantit Spectroscopy Radiative Transf 91(2):233–244

5. Mlawer EJ, Taubman SJ, Brown PD, Iacono MJ, Clough SA (1997) Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J Geophys Res: Atmos 102(D14):16663–16682

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