Collaborative Research: Development, Validation and Improvement of a Coupled Biological/Chemical/Physical Model for the Arabian Sea

合作研究：阿拉伯海生物/化学/物理耦合模型的开发、验证和改进

• 批准号: 9904690
• 负责人: Kevin Kohler
• 金额: $ 16.59万
• 依托单位: Nova Southeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-07-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9904690&HistoricalAwards=false
• 关键词: Collaborative; Research; Development; Validation; Improvement

McCreary9904690This project outlines three research tasks designed to develop, validate, and improve a biological/chemical /physical model for the Arabian Sea. A focus of the research is to understand the Arabian-Sea carbon cycle, which requires that biological and physical processes be properly represented. To understand a problem of this complexity requires the development of a hierarchy of models that vary in dynamical complexity. The present approach is to begin with a dynamically simple system, to compare its solutions carefully with available data, identify model deficiencies and to develop and test various hypotheses for overcoming them.The investigators initial system will consist of three components: a 51/2-layer physical model, a 4-compartment (NAHD) biological model, and a chemical model that simulates carbon and oxygen cycling. The system has the advantage that it is computationally very efficient. Consequently, the scientists will be able to carry out extensive test runs, and hence can carefully assess the influence of individual processes. Versions of each component model have already proven successful at simulating observations in the Arabian Sea and elsewhere, and this prior success gives the researchers confidence that the coupled system will also produce useful solutions. The initial system will be gradually improved and expanded as the investigators identify deficiencies and modify the model to correct them.The central goal of the U.S. JGOFS Synthesis and Modeling Project (SMP) is to synthesize observational data into a set of models that can be used for prediction. Here, the investigators will bring together a group of scientists with the collective expertise necessary to achieve this goal for the Arabian Sea. Specifically, Sharon Smith contributes her knowledge of Arabian Sea biological and chemical fields, Raleigh Hood and Don Olson contribute their expertise in biological and chemical modeling, and Julian McCreary contributes his modeling experience of physical processes in the region. Each Principal Investigator thus performs an important function in the overall research effort.In this effort the researchers will test fundamental hypotheses concerning the factors that control biogeochemical fluxes in the Arabian Sea. This region was selected to be the location of one of the four U.S. JGOFS Process Studies because of its strong monsoonal forcing and large seasonal oscillations, and indeed the project acquired the most complete seasonal and spatial resolution of carbon cycling among the four Studies. These field observations, in combination with concurrent ONR measurements, historical data and new satellite ocean color observations, thus provide an ideal data set for developing a coupled model that can respond realistically under a wide range of oceanic conditions. Consequently, the investigators expect that the results will be readily generalizable to other regions of the World Ocean.

McCreary 9904690该项目概述了三项研究任务，旨在开发，验证和改进阿拉伯海的生物/化学/物理模型。研究的一个重点是了解阿拉伯海的碳循环，这需要适当地代表生物和物理过程。要理解这种复杂性的问题，需要开发一个层次结构的模型，在动态复杂性不同。 目前的方法是从一个动态简单系统开始，将其解决方案与可用数据仔细比较，识别模型缺陷，并开发和测试克服这些缺陷的各种假设。研究人员的初始系统将由三个部分组成：51/2层物理模型、4室（NAHD）生物模型以及模拟碳和氧循环的化学模型。该系统的优点在于它在计算上非常高效。因此，科学家将能够进行广泛的测试运行，从而可以仔细评估个别过程的影响。每个组件模型的版本已经证明在阿拉伯海和其他地方模拟观测是成功的，这一先前的成功使研究人员相信耦合系统也将产生有用的解决方案。美国JGOFS综合与建模项目（SMP）的核心目标是将观测数据综合成一套可用于预测的模型。在这里，调查人员将汇集一组科学家，他们拥有实现阿拉伯海这一目标所需的集体专业知识。具体来说，Sharon Smith贡献了她在阿拉伯海生物和化学领域的知识，罗利胡德和唐奥尔森贡献了他们在生物和化学建模方面的专业知识，朱利安麦克里贡献了他在该地区物理过程的建模经验。因此，每位首席研究员在整个研究工作中发挥着重要作用。在这项工作中，研究人员将测试有关控制阿拉伯海生物地球化学通量的因素的基本假设。该地区被选为美国四个JGOFS过程研究的地点之一，因为它具有强烈的季风强迫和大的季节振荡，实际上该项目在四个研究中获得了最完整的碳循环季节和空间分辨率。这些现场观测，结合同步ONR测量，历史数据和新的卫星海洋颜色观测，从而提供了一个理想的数据集，开发一个耦合模型，可以在各种海洋条件下作出现实的反应。因此，调查人员预计，这些结果将很容易推广到世界海洋的其他区域。