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

9525805 Arrigo这项建议为美国国家科学基金会资助的1996年10月至1997年3月和1997至1997年3月在罗斯海西南部进行的一项实地项目描述了水柱和海冰初级生产力的模拟研究。初步模拟研究的重点将是得出对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、生物化学和生态的了解；2)海冰覆盖、云层、海洋表面温度和藻类色素的气候学；3)现有的海冰和水柱中依赖深度的(一维)初级生产的模拟方法。主要目标之一是首先确定水柱和海冰中初级生产量的相对数量，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ROAVERRS项目的规划；这些分析将直接适用于JGOFS和GLOBEC与估计南大洋初级产量问题有关的活动的规划。具体地说，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，以及对ROAVERRS期间建议测量的变量(例如，藻类生物光学、光合作用参数、光谱质量、营养物质浓度、海冰厚度、积雪、水柱混合率、温度)的变化的敏感性。在这项模拟研究完成后，ROAVERRS项目将根据扩大的数据库对模型进行改进(例如，针对不同类型的海冰栖息地或浮游植物水华调整模型)，并根据现场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.