Ocean-Basin Scale Modeling of Plankton Dynamics in the NorthAtlantic and Eastern North Pacific

这项工作的目标是建立海洋盆地规模 北大西洋和北大西洋的浮游生物动态模型 支持美国全球战略的总体目标 海洋通量研究由NSF和NASA赞助。 这些新 物理-生物模型将利用 气候混合层深度，历史资料就大 尺度，混合层底部的风驱动Ekman通量， 以及北大西洋的GEOSECS营养化学数据 北太平洋 这些海洋盆地规模的模型将研究 季节性混合层如何加深和变浅，沿着 风驱动的Ekman上升流和下降流，与 溶解养分的垂直梯度，以确定总 浮游生物可利用的限制性营养物质的量 生态系统 这反过来又决定了生物生产力 海洋。 地图将由该模型制作， 北大西洋每月和每年的初级生产量， 北太平洋东部盆地。 估计将在 初级生产力的年际变化， 大尺度风应力的季节间波动 北大西洋 %%% 这些模型将包含生理生长的细节 浮游植物的比例，使区域分辨率 植物群体叶绿素含量的变化。 这将使直接比较模型预测的 浮游植物分布到海洋盆地尺度的复合物 历史CZCS表面叶绿素图像。 这些盆地- 将通过与浮游生物的比较来验证广泛的模型 在文献中公布的丰度和生产力数据， 和CZCS的历史图像 新数据来自 GOFS现场计划和新的海洋颜色图像可能会或可能不会 可用于同化到这些模型中， 这一建议的时限（1988-1991年）。 但这 建模工作可以帮助提供 一般理论和观测计划由GOFS调查员。

The objective of this effort is to construct ocean-basin scale models of plankton dynamics in the North Atlantic and the North Pacific in support of the overall objectives of the U.S. Global Ocean Flux Study sponsored by NSF and NASA. These new physical-biological models will utilize historical data on the climatological mixed layer depth , historical data on the large scale, wind-driven Ekman flux at the base of the mixed layer, and the GEOSECS nutrient chemistry data in the North Atlantic and North Pacific. These ocean-basin scale models will study how seasonal mixed layer deepening and shallowing, along with wind-driven Ekman upwelling and downwelling, interacts with the vertical gradient of dissolved nutrients to determine the total amount of limiting nutrient available to the plankton ecosystem. This in turn determines the biological productivity of the ocean. Maps will be produced by the model of the monthly and annual primary production in the North Atlantic and eastern North Pacific basins. Estimates will be made of the interannual variability in primary production due to interseasonal fluctuations in the large scale wind stress over the North Atlantic. %%% The models will incorporate details on the physiological growth rate of the phytoplankton, enabling resolution of regional variations in chlorophyll content of the plant population. This will enable direct comparison of model predictions of the phytoplankton distribution to ocean-basin scale composites of historical CZCS images of surface chlorophyll. These basin- wide models will be validated by comparison to plankton abundance and productivity data published in the literature, and historical CZCS imagery. New data forthcoming from the GOFS field program and new ocean color imagery may or may not become available for assimilation into these models within the time frame of this proposal (1988-1991). However, this modeling effort can help provide an essential link between general theory and observations planned by GOFS investigators.