Meridional Heat Flux and Thermal Anomalies in the North Atlantic Ocean: Diagnosis through Four-Dimensional Ocean Data Assimilation

北大西洋经向热通量和热异常：通过四维海洋数据同化进行诊断

• 批准号: 9530220
• 负责人: James Carton
• 金额: $ 55万
• 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: 1996
• 资助国家: 美国
• 起止时间: 1996-08-15 至 2002-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9530220&HistoricalAwards=false
• 关键词: Meridional; Heat; Flux; Thermal; Anomalies

9530220 Carton This project is a contribution to the modeling component to be carried out as part of the Atlantic Circulation and Climate Experiment (ACCE) under the World Ocean Circulation Experiment (WOCE). The focus will be on upgrading existing isopycnal models, data assimilation, and integrating different types of regional models. Comparisons will be made among different modeling approaches in order to assess the strengths and weaknesses of each, and to determine the best overall approach for including ocean variability in climate modeling. Particular attention will be paid to assimilating, into the models, data from the field phase of ACCE, as well as from historical data bases. In this particular project, the PIs will use data assimilation techniques to determine the domination balances in the upper ocean heat budget on searonal to decadal time scales. They will assimilate historical hydrographic and drifter data into the GFDL Modular Ocean Model (MOM) to give historical perspective on the timescales related to the ACCE ecpseirment. GEOSAT and TOPEX altimeter data, as well as velocity measurements would be added to previous historical analyses caried out by the Pis. A completer analysis of the two years of ACCE data will also be carried out, along with careful estimates of uncertainties, especially those associated with air-sea fluxes.

该项目是作为世界海洋环流实验（WOCE）下大西洋环流和气候实验（ACCE）的一部分进行的建模组件的贡献。重点将放在现有等典型模式的升级、数据同化和不同类型区域模式的整合上。将对不同的模拟方法进行比较，以便评估每种方法的优缺点，并确定将海洋变率纳入气候模拟的最佳总体方法。将特别注意在模型中吸收来自ACCE实地阶段的数据以及来自历史数据库的数据。在这个特殊的项目中，pi将使用数据同化技术来确定海洋上层热收支在季节和年代际时间尺度上的支配平衡。他们将把历史水文和漂流数据吸收到GFDL模块化海洋模型（MOM）中，以提供与ACCE事件相关的时间尺度的历史视角。GEOSAT和TOPEX高度计数据以及速度测量数据将被添加到Pis之前进行的历史分析中。还将对两年的ACCE数据进行更全面的分析，同时仔细估计不确定性，特别是与海气通量有关的不确定性。