The Application of a Real-Time Biophysical Model of Photoplankton Photoacclimation in the Upper Ocean at Sea

浮游生物光驯化实时生物物理模型在海上上层海洋的应用

• 批准号: 9115339
• 负责人: Daniel Kamykowski
• 金额: $ 26.65万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-02-01 至 1995-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9115339&HistoricalAwards=false
• 关键词: Application; Real; Time; Biophysical; Model

A combined biophysical model developed by the principal investigators based on the photoacclimation model of Denman and Marra (1986) and the physical model of Price et al. (1986) will be taken to sea to run in real-time mode with the ambient physical forcing input to the model. The real-time application will provide a continuous view of the predicted water column while at sea, so that physical and biological (especially photoacclimation state and photosynthetic rate) samples can be collected at the appropriate depths to directly test model accuracy. One version of the model will be initialized with preliminary measurements of the required characteristics of the ambient environment using a variety of physical sensors as well as a specially designed biological sensor. A second version will be re-initialized physically every tow hours to ensure a more precise prediction of the instantaneous state of the water column. Validation data will include mixed layer depth and depth profiles rate. After the cruise, model refinements will be developed based on subsequent reruns of the model with recorded forcing to improve fits to the validation data by considering changes in both model formulation and parameterization. The eventual goal is to use the validated biophysical model as a tool to guide future field applications of the developing photoacclimation technology and theory.

由主要研究人员基于Denman和Marra（1986）的光驯化模型和Price等人（1986）的物理模型开发的组合生物物理模型将被带到海上，在实时模式下运行，环境物理强迫输入到模型中。实时应用程序将在海上提供预测水柱的连续视图，以便在适当的深度收集物理和生物（特别是光适应状态和光合速率）样品，直接测试模型的准确性。模型的一个版本将初始化，使用各种物理传感器以及专门设计的生物传感器对环境所需特征进行初步测量。第二个版本将每两个小时重新初始化一次，以确保更精确地预测水柱的瞬时状态。验证数据将包括混合层深度和深度剖面率。在巡航之后，将根据模型的后续重新运行，并记录强迫，通过考虑模型公式和参数化的变化来改进对验证数据的拟合，从而开发模型改进。最终目标是利用经过验证的生物物理模型作为指导正在发展的光驯化技术和理论的未来野外应用的工具。