Exploitation of parallelism in climate models. Final report

Baer, Ferdinand ; Tribbia, Joseph J. ; Williamson, David L.

University of Maryland at College Park

关键词: Statistics;    Prediction Equations;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Spectral Elements;    Accuracy;   

DOI  :  10.2172/807244
RP-ID  :  None
RP-ID  :  FG02-95ER62022
RP-ID  :  807244

美国|英语

来源: UNT Digital Library

【 摘 要 】

This final report includes details on the research accomplished by the grant entitled 'Exploitation of Parallelism in Climate Models' to the University of Maryland. The purpose of the grant was to shed light on (a) how to reconfigure the atmospheric prediction equations such that the time iteration process could be compressed by use of MPP architecture; (b) how to develop local subgrid scale models which can provide time and space dependent parameterization for a state-of-the-art climate model to minimize the scale resolution necessary for a climate model, and to utilize MPP capability to simultaneously integrate those subgrid models and their statistics; and (c) how to capitalize on the MPP architecture to study the inherent ensemble nature of the climate problem. In the process of addressing these issues, we created parallel algorithms with spectral accuracy; we developed a process for concurrent climate simulations; we established suitable model reconstructions to speed up computation; we identified and tested optimum realization statistics; we undertook a number of parameterization studies to better understand model physics; and we studied the impact of subgrid scale motions and their parameterization in atmospheric models.