Collaborative Research: Development, Validation and Improvement of a Coupled Biological/Chemical/Physical Model for the Arabian Sea
Collaborative Research: Development, Validation and Improvement of a Coupled Biological/Chemical/Physical Model for the Arabian Sea
批准号:
9904690
负责人:
Kevin Kohler
金额:
$16.59万
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
项目状态:
已结题
起止时间:
1999-07-01 至 2003-06-30
中文摘要
McCreary9904690该项目概述了旨在开发、验证和改进阿拉伯海生物/化学/物理模型的三项研究任务。该研究的一个重点是了解阿拉伯海碳循环,这需要正确代表生物和物理过程。要理解这种复杂性的问题,需要开发动态复杂性各异的模型层次结构。 目前的方法是从一个动态简单的系统开始,仔细比较其解决方案与可用数据,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) 生物模型和模拟碳和氧循环的化学模型。该系统的优点是计算效率非常高。因此,科学家们将能够进行广泛的测试运行,从而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可以成功地模拟阿拉伯海和其他地方的观测结果,先前的成功让研究人员相信耦合系统也将产生有用的解决方案。随着研究人员发现缺陷并修改模型以纠正这些缺陷,初始系统将逐渐完善和扩展。美国 JGOFS 综合和建模项目(SMP)的中心目标是将观测数据综合成一组可用于预测的模型。在这里,研究人员将聚集一组拥有实现阿拉伯海目标所需的集体专业知识的科学家。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,Raleigh Hood 和 Don Olson 贡献了他们在生物和化学建模方面的专业知识,Julian McCreary 贡献了他对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。该地区因其强大的季风强迫和较大的季节性波动而被选为美国四项 JGOFS 过程研究之一的所在地,并且该项目实际上获得了四项研究中最完整的碳循环季节和空间分辨率。这些现场观测结果与同时进行的 ONR 测量、历史数据和新的卫星海洋颜色观测结果相结合,为开发耦合模型提供了理想的数据集,该模型可以在各种海洋条件下做出实际响应。因此,研究人员预计研究结果将很容易推广到世界海洋的其他区域。
英文摘要
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.
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