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.

9812404CARTIN这个项目，PIS将研究1940年至1999年期间上海上的年际变化。模块化海洋模型（MOM）将用于提供“预测”温度，盐度和速度场的“预测”场。 然后，将通过最佳插值或“纽约”技术来引入观察，以进行数据同化。 约束是来自国家海洋数据中心（NODC）的各种历史数据集，将与独立的数据集进行比较，包括来自世界海洋循环实验（WOCE）的数据集。该模型将通过转移到多个处理器版本，添加不同的风能，升级不同的Algorith Algorithmitation Algorith afterwater Wellwater input input input input input input intup input intup input intup intup intup infort Wind-Wind产品，并改善该模型。 NODC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，并使用以前无法使用的历史数据来升级数据库。 NOAA支持NODC的工作。