Ocean, together with atmosphere, are two components of the climate system. Real conditions of the ocean are difficult to describe theoretically; Large area in-situ measurements are expensive to obtain and hard to manage. By utilizing the power of supercomputer, numerical model simulation is an alternative method to study various oceanographic and atmospheric phenomena, especially in the research of climate prediction (for example, El Nino prediction). In NERSC, our main objective is to optimize the parallel ocean models for effectively running on massively parallel processing supercomputers.
After one-month run of a fully coupled CSM test model:
Modular
Ocean Model (MOM)
Parallel Ocean Program (POP)
NCAR Climate
System Model (CSM)
Numerical Reproducibility and Stability
Related
Research Efforts at Berkeley
Last modified in December 1999.
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