Collaborative Research: SODA: A Climate Reanalysis for the Oceans

合作研究：SODA：海洋气候再分析

• 批准号: 0351319
• 负责人: James Carton
• 金额: --
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0351319&HistoricalAwards=false
• 关键词: Collaborative; Research; SODA; Climate; Reanalysis

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.

0351319/0351804该合作项目将探索允许涡流序列数据同化在海洋再分析中的应用。该领域是全球海洋，重点是观测记录更为丰富的 1000m 上层。该时间段是过去六十年，对应于大气再分析时期。海洋模型将是并行海洋计划模型，数据同化代表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。该研究的主要目标是提供海洋参考气候，可作为检查其他物理、化学和生物分析产品的基础，为观测集和研究提供大尺度背景海洋对气候变化的贡献。海洋再分析将用于对季节、年际和年代际时间尺度的变化进行运动学描述，包括检查与指标时间序列的协变，例如厄尔尼诺南方涛动（ENSO）、北极涛动（AO）、太平洋十年涛动（PDO）等。再分析结果将与独立观测结果进行比较，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化进行重点检查。更广泛的影响：这项工作产生的一系列再分析实验以及强迫和海洋数据集将提供给整个科学界，并提供为学生和研究人员提供许多探索海洋气候变化的机会。将为两名研究生提供培训。