Collaborative Research: SODA: A Climate Reanalysis for the Oceans

0351319/0351804该合作项目将探索允许涡流的顺序数据同化在海洋再分析中的应用。该领域是全球海洋，重点放在上面1000米，那里的观测记录更实质性。时间周期是与大气再分析周期相对应的过去60年。海洋模式将是并行海洋方案模式，而数据同化代表了简单海洋数据同化序贯估计方法的发展，强调包括显式偏差校正。这项研究的主要目标是为海洋提供一个参考气候，作为检查其他物理、化学和生物分析产品的基础，为观察组提供大范围的背景，以及研究海洋对气候变异性的贡献。海洋再分析将用于对季节、年际和年代际时间尺度上的变率进行运动学描述，包括与厄尔尼诺-南方涛动(ENSO)、北极涛动(AO)、太平洋年代际涛动(PDO)等指数时间序列的协变检验。再分析产品将与独立观测进行比较，以了解再分析中的不确定性。最后，将对热带海洋的低频气候变异性进行重点检查.更广泛的影响：这项工作产生的一组再分析实验以及强迫和海洋数据集将向广大科学界提供，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。将为两名研究生提供培训。

0351319/0351804This collaborative project will explore the application of eddy-permitting sequential data assimilation to ocean reanalysis. The domain is the global ocean, with an emphasis on the upper 1000m where the observational record is more substantial. The time period is the past six decades corresponding to the period of atmospheric reanalyses. The ocean model will be the Parallel Ocean Program model and the data assimilation represents an evolution of the Simple Ocean Data Assimilation sequential estimation approach with an emphasis on including explicit bias-correction. The main goal of the study is to provide a reference climate for the oceans that may be used as a 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. The ocean reanalysis will be used to carry out a kinematic description of variability on seasonal, inter-annual, and decadal timescales including examination of covariations with index time series such as El Nino- Southern Oscillation (ENSO), the Arctic Oscillation (AO), the Pacific Decadal Oscillation (PDO), etc. The reanalysis product will be compared with independent observations in order to learn about the uncertainties in the reanalysis. Finally, a focused examination of low frequency climate variability in the tropical oceans will be preformed..Broader impacts: The set of reanalysis experiments resulting from this work along with forcing and ocean data sets will be made available to the scientific community at large and offer many opportunities for students and researchers to explore ocean climate variability. Training will be provided to two graduate students.