NDLI: Model development for the global warming prediction by using the Earth Simulator

Content Provider	IEEE Xplore Digital Library
Author	Sumi, A. Kimoto, M. Emori, S. Nozawa, M. Hasumi, H.
Copyright Year	2004
Description	Author affiliation: Center for Climate Syst. Res., Tokyo Univ., Japan (Sumi, A.; Kimoto, M.; Emori, S.; Nozawa, M.; Hasumi, H.)
Abstract	A high resolution atmosphere-ocean coupled model has been developed in order to improve a Global Warming simulation. Based on preliminary experiments, it was decided that an atmospheric component is T106 global spectral model with 56 levels and an ocean component is 1/4/spl deg/ 1/6/spl deg/grid point mode with 46 levels. A land surface model (MATSUSIRO) and a run-off model are incorporated. Corresponding to the increase in horizontal and vertical resolution, subroutines for physical processes are reexamined. Various options have been examined and final specification of the model was decided. Coupling between atmosphere component and ocean component is done through MPMD (multiple program and multiple data) algorithm. 10 nodes in the Earth Simulator (ES) are allocated to the atmospheric component and 76 nodes are allocated to the oceanic component. The version 0 of the coupled model was completed in 2003 and 40 year control run was conducted, and 1% increase of CO2 run was also conducted for 40 years. Simulation of atmospheric and oceanic phenomena was improved at many respects. It is suggested that a regional climate change may be achieved.
Sponsorship	High Performance Comput. SIG Information Processing Soc. of Japan IEEE Comput. Soc. Japan Chapter
Starting Page	480
Ending Page	486
File Size	798812
Page Count	7
File Format	PDF
ISBN	076952138X
DOI	10.1109/HPCASIA.2004.1324080
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-07-22
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Global warming Earth Atmospheric modeling Computational modeling Spatial resolution Oceans High performance computing Asia Land surface
Content Type	Text
Resource Type	Article

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