Exploitation of parallelism in climate models
The US Department of Energy (DOE) through its CHAMMP initiative, hopes to develop the capability to make meaningful regional climate forecasts on time scales exceeding a decade, such capability to be based on numerical prediction type models. We propose research to contribute to each of the specific items enumerated in the CHAMMP announcement (Notice 9103); i.e., to consider theoretical limits to prediction of climate and climate change on appropriate time scales, to develop new mathematical techniques to utilize massively parallel processors (MPP), to actually utilize MPP's as a research tool, and to develop improved representations of some processes essential to climate prediction. To explore these initiatives, we will exploit all available computing technology, and in particular MPP machines. We anticipate that significant improvements in modeling of climate on the decadal and longer time scales for regional space scales will result from our efforts. This report summarizes the activities of our group during a part of the first year's effort to meet the objectives stated in our proposal. We will comment on three research foci, time compression studies, subgrid scale model studies, and distributed climate ensemble studies and additional significant technical matters.
- Research Organization:
- Maryland Univ., College Park, MD (United States)
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- FG05-91ER61219
- OSTI ID:
- 5566152
- Report Number(s):
- DOE/ER/61219-1; ON: DE92012595
- Country of Publication:
- United States
- Language:
- English
Similar Records
Exploitation of Parallelism in Climate Models
Exploitation of parallelism in climate models