Synthesis and Integration of Riverine, Oceanic and Sea Ice Tracer/Contaminant Data with High Resolution Coupled Ocean-Sea Ice Models

利用高分辨率海洋-海冰耦合模型合成和整合河流、海洋和海冰示踪剂/污染物数据

• 批准号: 9708924
• 负责人: Stephanie Pfirman
• 金额: $ 29万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-01 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9708924&HistoricalAwards=false
• 关键词: Synthesis; Integration; Riverine; Oceanic; Sea

This proposal requests funds to evaluate available distributions of a variety of natural and anthropogenic trace substances (transient and steady-state) in terms of their potential to delineate pathways and mean residence times of the Arctic Ocean water masses and its sea ice cover. This information is fundamental for our understanding of the role of the Arctic Ocean and its sea ice cover in regional and global climate, as well as in the redistribution of contaminants in the marine system, and their export from the Arctic Ocean through the water and ice phase. The general approach is to integrate existing tracer and contaminant data sets and to combine results from the synthesis of these integrated data sets with model simulations. Specifically, the investigators plan to check the information derived from several passive tracers (e.g. tritium, oxygen and Helium isotopes) for consistency with hydrographic data and direct current measurements, as well as with tracer distributions simulated by dynamical models. In a second step, the investigators plan to compare this information with measured contaminant distributions to (i) use conservative contaminants as additional tracers of water and sea ice circulation, and (ii) study sources and sinks of non-conservative contaminants through comparison with passive tracers.

该提案要求提供资金，以评估各种自然和人为痕量物质（瞬态和稳态）的可用分布，以确定北冰洋水团及其海冰覆盖的路径和平均停留时间。这些信息对于我们理解北冰洋及其海冰覆盖在区域和全球气候中的作用，以及海洋系统中污染物的再分配，以及它们通过水和冰阶段从北冰洋输出的作用是至关重要的。一般的方法是整合现有的示踪剂和污染物数据集，并将这些综合数据集的综合结果与模型模拟相结合。具体来说，研究人员计划检查来自几种被动示踪剂（例如氚、氧和氦同位素）的信息与水文数据和直流电测量的一致性，以及与动态模型模拟的示踪剂分布的一致性。在第二步中，研究人员计划将这些信息与测量的污染物分布进行比较，以(i)使用保守污染物作为水和海冰循环的附加示踪剂，（ii）通过与被动示踪剂的比较研究非保守污染物的来源和汇。