Collaborative Research: Exploring centennial changes in ocean circulation with SODA

合作研究：用 SODA 探索海洋环流的百年变化

• 批准号: 0752209
• 负责人: James Carton
• 金额: $ 56.51万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0752209&HistoricalAwards=false
• 关键词: Collaborative; Research; Exploring; centennial; changes

This project extends an on-going effort (SODA: Simple Ocean Data Assimilation) to explore the potential as well as the limitations of modeling and data assimilation directed toward reconstruction of a centennial analysis of ocean circulation using the Parallel Ocean program (POP). The domain is the global ocean, with an emphasis on the upper ocean where the observational record is more substantial. The main time period is the second half of the last century (1950-2007) with an eye to expand it to the last century if it can established that there are enough observations in the first half of the century to provide reliable estimate of the state of the ocean.. The first effort is to assemble the observations and surface forcing data sets needed for this reanalysis. Indeed, the project is motivated by a corresponding effort by meteorologists to produce a centennial atmospheric reanalysis. A thorough investigation of the error statistics of information that goes into the assimilation will be conducted. The second effort is to explore a change to a more sophisticated assimilation scheme based on the Local Ensemble Transform Kalman Filter. This change would allow properties of the data assimilation such as temperature-salinity error covariances to evolve throughout the reanalysis period, rather than being fixed a priori. Attention will also be focused on improving representation of the structure of the mixed layer. The results of the reanalysis experiments will then be used to explore the structure and evolution of a variety of ocean climate signals such as the El Nino?Southern Oscillation (ENSO) in the Pacific Ocean and decadal variability in the global oceans. The overall goal is to explore the extent to which ocean data assimilation may be used to produce a reference climate for the oceans that in turn can serve as the basis for examining other physical, chemical, and biological analysis products, for providing the large-scale context for observation sets, as well as for studies of the ocean?s contribution to climate variability.Intellectual merit: This research will result in understanding of the potential of a centennial reanalysis of the physical state of the ocean with emphasis on the upper 1000m. Centennial reanalyses will be produced and made available to the community, along with the forcing and ocean data sets. The intellectual merit lies in the potential of this kind of reanalysis to open up new questions regarding the ocean?s role in climate variability. The results will be used to carry out diagnostic examination of variability on seasonal, interannual, and decadal timescales including examination of covariations of atmospheric climate variability. Finally, the ocean reanalysis product will be compared to independent observation sets in order to learn about the uncertainties in the reanalysis.Broader impacts: SODA reanalyses are currently being used by researchers from around the world and there should be considerable interest in these new reanalyses, both because of the longer period of coverage and because of the new assimilation scheme. The set of reanalysis experiments resulting from this work will be made available to the community and will offer many opportunities for students and researchers to explore ocean climate variability. In addition to training graduate students at the University of Maryland and at Texas A&M University in ocean data assimilation, the reanalysis can be used as the foundation for graduate students at other institutions and as a resource for classroom teaching.

该项目扩大了持续的努力（苏打水：简单的海洋数据同化），以探索使用平行海洋计划（POP）重建一百万年对海洋循环分析的建模和数据同化的局限性。该领域是全球海洋，重点是上海，在该海洋中，观察性记录更为实质。主要时间段是上个世纪的下半段（1950-2007），如果能够确定在本世纪上半叶有足够的观察结果，可以将其扩展到上个世纪，以提供对海洋状况的可靠估计。.第一个努力是组装这项重新分析所需的观察结果和表面强迫数据集。实际上，该项目是由气象学家采取相应的努力来产生百年大气重新分析的。将对同化的信息的误差统计数据进行详尽的研究。第二次努力是探索基于局部集合变换Kalman滤波器的更复杂同化方案的更改。这种变化将允许数据同化的属性，例如温度 - 平衡误差协方差，可以在整个重新分析期间发展，而不是先验地固定。注意还将集中于改善混合层结构的表示。然后，将使用重新分析实验的结果来探索各种海洋气候信号的结构和演变，例如太平洋中的El Nino？南部振荡（ENSO）以及全球海洋中十年的变化。总体目标是探索可以使用海洋数据同化的程度来为海洋产生参考气候，而海洋可以作为检查其他物理，化学和生物学分析产品的基础，以提供观察集的大规模环境，以及对海洋贡献的研究，对气候变化的研究将为海洋的贡献。这将使海洋的研究范围内的研究：概述的理解，这些研究的理解是，这种理解的理解是，这些研究的理解是，这些研究是一种理解的，这些概念是一项概述的，这些研究的范围是，这些概念是一项研究，这些阶段的理解是，这些研究的范围是，这些研究的范围是，这些研究的理解是一项研究，这些研究是一项研究，这些研究是一种研究，这些研究是一种理解的，这些研究的范围是，这是一项研究，这些概念是一项研究，这些概念是一项研究，这些研究是一种构成的研究。强调上部1000m。百年纪念重新分析将与强迫和海洋数据集一起生产并提供给社区。知识分子的优点在于这种重新分析的潜力，即在气候变异性中开辟了有关海洋作用的新问题。结果将用于对季节性，年际和十年时间表的变异性进行诊断检查，包括检查大气气候变异性的协变量。最后，将将海洋重新分析产品与独立的观察集进行比较，以了解重新分析中的不确定性。BROADER的影响：目前，来自世界各地的研究人员正在使用苏打水的重新分析，并且由于较长的覆盖范围和新的融合方案，因此应该对这些新的重新分析产生浓厚的兴趣。这项工作产生的一系列重新分析实验将提供给社区，并为学生和研究人员提供许多探索海洋气候变异性的机会。除了马里兰州大学的培训研究生和海洋数据同化的德克萨斯A＆M大学外，重新分析还可以用作其他机构的研究生的基础，并作为课堂教学的资源。