Scientific Grand Challenges: Challenges in Climate Change Science and the Role of Computing at the Extreme Scale

Khaleel, Mohammad A. ; Johnson, Gary M. ; Washington, Warren M.

关键词: ALGORITHMS;    CLIMATES;    FORECASTING;    PRODUCTIVITY;    RECOMMENDATIONS climate change;    extreme scale computing;    earth system model;    model development;    decadal prediction;   

DOI  :  10.2172/990597
RP-ID  :  PNNL-18362
PID  :  OSTI ID: 990597
Others  :  Other: KJ0402000
Others  :  TRN: US201108%%97

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

The U.S. Department of Energy (DOE) Office of Biological and Environmental Research (BER) in partnership with the Office of Advanced Scientific Computing Research (ASCR) held a workshop on the challenges in climate change science and the role of computing at the extreme scale, November 6-7, 2008, in Bethesda, Maryland. At the workshop, participants identified the scientific challenges facing the field of climate science and outlined the research directions of highest priority that should be pursued to meet these challenges. Representatives from the national and international climate change research community as well as representatives from the high-performance computing community attended the workshop. This group represented a broad mix of expertise. Of the 99 participants, 6 were from international institutions. Before the workshop, each of the four panels prepared a white paper, which provided the starting place for the workshop discussions. These four panels of workshop attendees devoted to their efforts the following themes: Model Development and Integrated Assessment; Algorithms and Computational Environment; Decadal Predictability and Prediction; Data, Visualization, and Computing Productivity. The recommendations of the panels are summarized in the body of this report.