Modeling Primary Production of the Southern Ocean for ROAVERRS (Research on Ocean-Atmosphere Variability and Ecosystem Response in the Ross Sea)

该提案描述了1996-97年10月至3月和1997-98年10月至3月期间在罗斯海西南部进行的nsf资助的实地项目中水柱和海冰初级生产的建模研究。初步模拟研究的重点将是得出南大洋初级生产力的初步估计。这些初步估计将基于：1)目前对南大洋浮游植物和海冰藻类的生理、生物化学和生态学的了解；2)海冰覆盖、云量、海面温度和藻类色素的气候学；3)海冰和水柱深度相关（1-D）初级产量的现有建模方法。主要目标之一是对水柱和海冰中初级产品的相对数量进行首次确定，并对这两个系统使用一致的现代估计方法（生物光学模型）。然后将进行敏感性分析，以指导漫游者项目的规划；这些分析将直接适用于规划与估计南大洋初级产量问题有关的联合海洋生态系统和全球海洋生态系统活动。具体来说，他们将研究模型对ROAVERRS研究区域采样尺度（时间和空间）的敏感性，以及在ROAVERRS期间提出的测量变量变化的敏感性（例如，藻类生物光学、光合参数、光的光谱质量、营养物质浓度、海冰厚度、积雪、水柱混合率、温度）。在完成建模研究后，ROAVERRS项目将根据扩展的数据库对模型进行改进（例如，根据不同类型的海冰栖息地或浮游植物大量繁殖调整模型），并根据实地观测对这些模型进行测试。

9525805 Arrigo This proposal describes modeling studies of primary production in the water column and sea ice for an NSF-funded field program to take place in the southwest Ross Sea between October and March of 1996-97 and 1997-98. The focus of the initial modeling studies will be to derive initial estimates of primary productivity for the Southern Ocean. These initial estimates will be based on: 1) current understanding of the physiology, biochemistry and ecology of Southern Ocean phytoplankton and sea ice algae; 2) climatologies for sea ice cover, cloud cover, sea surface temperature and algal pigments; and 3) existing modeling approaches for depth-dependent (1-D) primary production in sea ice and water column. One of the primary goals is to make the first determination of the relative amounts of primary production in the water column and in the sea ice using a consistent, modern estimation method (bio-optical modeling) for both systems. Sensitivity analyses will then be performed to guide planning of the ROAVERRS Project; these analyses will be directly applicable to planning for JGOFS and GLOBEC activities related to the question of estimating primary production in the Southern Ocean. Specifically, they will study model sensitivity to sampling scales (temporal and spatial) in the ROAVERRS study region and to variation in the variables proposed for measurement during ROAVERRS (e.g., algal bio-optics, photosynthetic parameters, spectral quality of light, nutrient concentration, sea ice thickness, snow cover, water column mixing rates, temperature). Following completion of this modeling study, the ROAVERRS Project will make improvements to the models based on an expanded data base (e.g., tuning the model for different types of sea ice habitat or phytoplankton blooms) and carry out testing of these models against field observations.