Collaborative Research: SODA: A Climate Reanalysis for the Oceans

0351319/0351804本合作项目将探讨涡流允许顺序数据同化海洋再分析的应用。该领域是全球海洋，重点是观测记录更丰富的1000米以上。时间段是过去60年对应的大气再分析期间。海洋模型将是并行海洋方案模型，数据同化是简单海洋数据同化顺序估计方法的演变，重点是包括显式偏差校正。这项研究的主要目标是提供一个海洋参考气候，可用作审查其他物理、化学和生物分析产品的基础，为观测集提供大规模背景，以及研究海洋对气候变异的贡献。海洋再分析将用于对季节、年际和十年时间尺度上的变率进行运动学描述，包括检查与指数时间序列的协变，如厄尔尼诺-南方涛动（ENSO）、北极涛动（AO）、太平洋十年涛动（PDO）、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率进行重点审查。更广泛的影响：这项工作所产生的一套再分析实验以及强迫和海洋数据集将沿着提供给广大科学界，并为学生和研究人员探索海洋气候变异性提供许多机会。将向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.