Decadal Variability and the Analysis of WOCE Upper Ocean Observations

WOCE上层海洋观测的年代际变化和分析

• 批准号: 9812404
• 负责人: James Carton
• 金额: $ 44.9万
• 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: 1998
• 资助国家: 美国
• 起止时间: 1998-09-01 至 2002-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9812404&HistoricalAwards=false
• 关键词: Decadal; Variability; Analysis; WOCE; Upper

9812404CartonIn this project, the PIs will study interannual variability of the upper ocean for the period, 1940 - 1999. The Modular Ocean Model (MOM) will be used to provide "forecast" fields of Temperature, Salinity, and velocity fields. Then observations will be introduced through optimal interpolation or "nudging" techniques for data assimilation. Constraints are various historical data sets from the National Oceanographic Data Center (NODC), and comparisons will be made with independent data sets including the data sets from the World Ocean circulation Experiment (WOCE).The model will be improved by shifting to a multi-processor version,adding different wind products, upgrading the assimilation algorithm to include freshwater input, and other refinements. NODC scientists will focus on constructing repeat sections and time series, examining heat, mass, and freshwater budgets, and upgrading the data base with previously unavailable historical data. The NODC effort is supported by NOAA.

9812404纸箱在这个项目中，PI将研究1940 - 1999年期间海洋上层的年际变化。 模块化海洋模式将用于提供温度、盐度和速度场的“预报”场。 然后，将通过最佳插值或“轻推”技术进行数据同化。 约束条件是来自国家海洋数据中心（NODC）的各种历史数据集，并将与包括世界海洋环流实验（WOCE）数据集在内的独立数据集进行比较。该模型将通过转换为多处理器版本、添加不同的风产品、升级同化算法以包括淡水输入和其他改进来改进。 NODC的科学家将专注于构建重复部分和时间序列，检查热量，质量和淡水预算，并使用以前无法获得的历史数据升级数据库。NODC的工作得到了NOAA的支持。