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: 9904689
• 负责人: Sharon Smith
• 金额: $ 22.56万
• 依托单位: University of Miami
• 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=9904689&HistoricalAwards=false
• 关键词: Collaborative; Research; Development; Validation; Improvement

Smith9904689This 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.

Smith9904689这项项目概述了三项旨在开发，验证和改善阿拉伯海的生物 /化学 /物理模型的研究任务。这项研究的重点是了解阿拉伯海碳循环，该碳循环要求适当代表生物学和物理过程。要理解这种复杂性的问题，就需要开发在动态复杂性上变化的模型的层次结构。 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.该系统的优点是它在计算上非常有效。因此，科学家将能够进行大量的测试，因此可以仔细评估各个过程的影响。每个组件模型的版本已经被证明成功地模拟了阿拉伯海和其他地方的观察结果，这一成功使研究人员相信耦合系统还将产生有用的解决方案。随着研究人员确定缺陷并修改模型以纠正它们，初始系统将逐渐改进和扩展。在这里，调查人员将汇集一群科学家，拥有为了实现阿拉伯海目标所必需的集体专业知识。具体来说，沙龙·史密斯（Sharon Smith）对阿拉伯海生物学和化学领域的了解，罗利·胡德（Raleigh Hood）和唐·奥尔森（Don Olson）在生物学和化学建模方面贡献了他们的专业知识，朱利安·麦克雷里（Julian McCreary）在该地区的物理过程中贡献了他的建模经验。因此，每个主要研究者在整体研究工作中都起着重要的作用。在这项工作中，研究人员将检验有关控制阿拉伯海生物地球化学通量的因素的基本假设。由于其强大的季风强迫和较大的季节性振荡，因此选择该区域是美国JGOF四个过程研究之一的位置，实际上该项目在四项研究中获得了最完整的季节性和空间分辨率。这些现场观察结果与同时进行的ONR测量，历史数据和新的卫星海洋色彩观察相结合，为开发一个耦合模型提供了理想的数据集，该模型可以在广泛的海洋条件下进行现实响应。因此，调查人员预计结果将很容易推广到世界海洋其他地区。