Estimation of Air-Sea Exchange, Nutrient Transport and New Primary Production in the Subtropical Ocean Using Time Series Tracer Data

这项工作的主旨将能够利用现有的示踪剂数据，对亚热带海洋中一些生物地球化学上重要的过程设定数量限制。将受到攻击的根本问题是，初级生产量的更“常规”估计与最近提出的地球化学示踪估计之间的明显不匹配(例如，Jenkins，1982；Jenkins和Goldman，1985；Jenkins，1988；Spitzer和Jenkins，1989)。手头有一长串的示踪剂数据和其中许多示踪剂的大规模分布图，需要进行解释。PI计划执行以下操作：%1.利用现有的时间序列示踪数据，结合上层海洋预报和反向模拟，将对贫营养水域的气体交换速率、垂直混合、营养物质传输和新的初级生产力进行估计。%2.利用大尺度示踪剂分布的知识，与影响本质上的横向过程相关的问题将讨论时间序列数据的一维性质。%3。将使用一个简单的随机模型来研究与比较传统的瓶子培养技术和长期整合示踪剂测量。这项工作将产生一系列基于上述建模和解释工作的论文，这些论文将有助于综合和扩展基于示踪剂的这些重要过程的估计，并将它们与其他技术进行合理的比较。

The thrust of this work will be able to use available tracer data to set quantitative limits on a number of biogeochemically important processes in the subtropical ocean. The fundamental problem that will be attacked is the apparent mismatch between the more "conventional" estimates of primary production and the geochemical tracer estimates recently proposed (eg Jenkins, 1982; Jenkins and Goldman, 1985; Jenkins, 1988; Spitzer and Jenkins, 1989). On hand is an extended time series of tracer data and maps of the large scale distribution of many of these tracers that reuires interpretation. The PI plans to do the following: %%% 1. Using existing time series tracer data combined with upper ocean prognostic and inverse modelling, estimates of gas exchange rates, vertical mixing, nutrient transport and new primary production in oligotrophic waters will be made. %%% 2. Using knowledge of large scale tracer distributions the problems associated with lateral processes influencing the essentially one dimensional natue of the time series data will be addressed. %%% 3. A simple stochastic model will be employed to study the problems of timescale mismatch associated with comparison of conventional bottle-incubation techniques and the longer term integrating tracer measurements. %%% This work will result in a series of papers based on the above modelling and interpretive efforts which will serve to synthesize and extend the tracer based estimates of these important processes, and rationalize their comparison with other techniques.