Development and Performance of the Modularized, High-performance Computing and Hybrid-architecture Capable GEOS-Chem Chemical Transport Model
- ADS bibcode
- 2014AGUFMGC33A0500L
- year
- 2014
- Listed Authors
- Long, M. S.
- Yantosca, R.
- Nielsen, J.
- Linford, J. C.
- Keller, C. A.
- Payer Sulprizio, M.
- Jacob, D. J.
- Listed Institutions
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States
- Harvard University, Cambridge, MA, United States
- Global Modeling and Assimilation Office, Greenbelt, MD, United States
- ParaTools, Inc., Baltimore, MD, United States
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States
- Harvard University, Cambridge, MA, United States
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States
Linked Authors [?]
Linked Institutions