EASM-3: Collaborative Research: Quantifying Predictability Limits, Uncertainties, Mechanisms, and Regional Impacts of Pacific Decadal Climate Variability

EASM-3：合作研究：量化太平洋年代际气候变化的可预测性限制、不确定性、机制和区域影响

• 批准号: 1419292
• 负责人: Emanuele Di Lorenzo
• 金额: $ 29.23万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1419292&HistoricalAwards=false
• 关键词: EASM; Collaborative; Research; Quantifying; Predictability

Climate in the Pacific region varies on decadal timescales, but the mechanisms that control these long-term climate variations are still unclear. If the mechanisms can be better understood, then the uncertainties associated with making climate predictions on these timescales can be assessed more accurately. Decadal variability over the Pacific is of particular interest in the United States due to its downstream influence over the western United States and its direct influence on climate in Alaska. This project addresses the fundamental question of what are the predictability limits, mechanisms, and regional impacts for decadal modes of the Pacific climate system using a hierarchy of climate models and modern statistical tools. The results of this project will be important in assessing how long-term changes in the environment drive changes in economically important variables such as rainfall, soil moisture, snowfall, temperatures, as well as oceanic temperatures, currents and sea levels, which impacts fisheries, agriculture, and coastal infrastructure along the U.S. West Coast and Asian Marginal Seas. The tools developed in this project should be transferable to other global sectors that also exhibit decadal variability. The project team will mentor graduate students and post-docs, whose educational experiences will include cross-disciplinary exposure to ocean science, atmospheric science, and societal impacts that will be unique in this context. Community outreach will include lectures and educational presentations in public forums, mentoring K-12 students, educating grass-roots climate action organizations, informing the media, and posting research results on web pages.There is clearly a large gap in our understanding of what controls Pacific decadal climate variability, what limits the predictability of the flows, and what practical skill might be useful in regional impacts on land and in the ocean. The project team proposes a coordinated research effort to better understand the basic physical dynamics of Pacific decadal variability and assess the skill of Pacific decadal predictability, along with its uncertainties and practical value. The research focuses on Community Earth System Model (CESM), with its vast repository of archived runs supplemented with targeted predictability experiments. The analysis focuses on using sophisticated statistical models (Linear Inverse Models) to identify statistical relations among variables, diagnose physical processes, and isolate potentially predictable components of the flows. It also involves using regional coupled atmosphere-ocean, along with uncoupled ocean and atmosphere models, to enhance the understanding of regional response and its potential for practical use in forecasting. The project brings together scientists skilled with developing decadal climate diagnostics, making both statistical and dynamical predictions, and executing regional coupled climate downscaling and regional high-resolution ocean modeling.

太平洋区域的气候在十年的时间尺度上变化，但控制这些长期气候变化的机制仍然不清楚。如果能够更好地理解这些机制，那么就可以更准确地评估在这些时间尺度上进行气候预测的不确定性。太平洋上空的年代际变率对美国特别感兴趣，因为它对美国西部的下游影响以及对阿拉斯加气候的直接影响。该项目利用气候模式层次和现代统计工具解决太平洋气候系统年代际模式的可预测性极限、机制和区域影响等基本问题。该项目的结果将在评估环境的长期变化如何驱动经济上重要的变量，如降雨，土壤湿度，降雪，温度，以及海洋温度，海流和海平面的变化，这影响渔业，农业和沿海基础设施沿着美国西海岸和亚洲边缘海的重要性。本项目开发的工具应可转用于也表现出十年变化的其他全球部门。该项目团队将指导研究生和博士后，他们的教育经验将包括跨学科接触海洋科学，大气科学和社会影响，这将是在这种情况下独特的。 社区外展将包括在公共论坛上的讲座和教育演讲，指导K-12学生，教育基层气候行动组织，通知媒体，并在网页上发布研究结果。以及在对陆地和海洋的区域影响方面，什么样的实用技能可能有用。项目小组提议开展协调一致的研究工作，以更好地了解太平洋十年变化的基本物理动力学，并评估太平洋十年可预测性的技巧，以及其沿着不确定性和实用价值。该研究的重点是社区地球系统模型（CESM），其庞大的存档运行库补充有针对性的可预测性实验。分析重点是使用复杂的统计模型（线性逆模型）来识别变量之间的统计关系、诊断物理过程并隔离流量中潜在的可预测成分。它还涉及使用区域大气-海洋耦合模式，沿着非耦合的海洋和大气模式，以加强对区域反应及其在预测中实际使用的潜力的了解。该项目汇集了擅长开发十年气候诊断的科学家，进行统计和动力学预测，并执行区域耦合气候降尺度和区域高分辨率海洋建模。