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

这项工作的重点将是能够利用现有的示踪剂数据，对亚热带海洋中一些重要的生物地球化学过程设定定量限制。本文要解决的根本问题是对初级产量的较为“传统”估计与最近提出的地球化学示踪剂估计之间的明显不匹配（例如Jenkins， 1982年；Jenkins和Goldman， 1985年；Jenkins， 1988年；Spitzer和Jenkins， 1989年）。手头上有一个示踪剂数据的扩展时间序列和许多这些示踪剂的大规模分布地图，需要解释。PI计划执行以下操作：%%% 1。将利用现有的时间序列示踪数据，结合上层海洋预测和反演模型，对低营养水域的气体交换率、垂直混合、营养物质输送和新的初级产量进行估计。%%% 2。利用大规模示踪剂分布的知识，将解决与影响时间序列数据的基本一维性质的横向过程有关的问题。%%% 3所示。将采用一个简单的随机模型来研究与传统瓶孵育技术和长期综合示踪剂测量比较相关的时间标度不匹配问题。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，并使其与其他技术的比较合理化。

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.