An optimization framework for adjoint-based climate simulations: A case study of the Zebiak-Cane model

作者：Yuan, Shijin; Wen, Shicheng; Li, Hongyu^*; Zhang, Xinfeng; Liu, Qin

来源：International Journal of High Performance Computing Applications, 2014, 28(2): 174-182.

DOI：10.1177/1094342013495096

• Adaptive
• data stack
• parallelizing
• ZC model
• adjoint

Conventional adjoint-based climate simulations are generally time-consuming because they require the frequent reading of historical data from hard disks, adopt a calculate-all implementation strategy, and work in a serial way. To improve the computational efficiency of these simulations, this paper proposes a framework with a series of optimizations, including an I/O optimization, several implementation improvements, and two parallelizing schemes. To demonstrate the feasibility and performance of the proposed framework, a Zebiak-Cane (ZC) case model is studied and presented in this paper. Experimental results show that the proposed framework can greatly improve the computational efficiency of climate simulations.

• 出版日期2014-5
• 单位同济大学