JGOFS/SMP: Modeling Microbial Processes and Dissolved Organic Matter: A Case Study of the U.S. JGOFS Time Series Station ALOHA

模拟微生物过程和溶解有机物：在US-JGOFS时间序列站ALOHA的一个案例研究耦合的物理-生物模式的海洋生物地球化学的发展是由几个关键的知识差距阻碍。 浮游生物模型曾试图纳入“微生物循环”和溶解的有机物质，但使用的公式非常不确定，没有考虑到过去十年出现的大量新信息，也没有显示出比海洋碳循环模型相互比较项目协议中使用的简单经验公式具有更大的预测能力。 由于这些过程在海洋的地球化学循环中发挥着重要作用，开发更现实的模型，这部分社会是至关重要的全球模型，有一个机械的基础上预测元素budgets.Of JGOFS时间序列研究网站，夏威夷海洋时间序列（HOT）已收到最少的关注建模。 HOT的观测结果严重偏离浮游生物生态学的既定范式（季节性对流，硝酸盐生产，后生浮游动物作为主要消费者），在某种程度上假设在浮游生物模型。 HOT数据库提供了一个前所未有的机会，以验证一个更现实的模型，作为溶解有机物质的观测已定期在整个HOT项目，并已观察到显着的年际变化。 虽然有显着的不确定性与一维（深度-时间）模拟，三维模拟的高计算成本，使广泛的验证实验与生物子模型在这样的背景下是不切实际的。 此外，HOT数据库本身就是欧拉型的，已经观察到海洋地球化学的重大年际变化。 为了提供一个有意义的模拟这种变化需要一个机械模型，不仅浮游生物种群生物学，但生物和化学之间的接口，发现在分解循环。 PI将使用HOT数据库来开发和测试这样一个模型。

Modeling microbial processes and dissolved organic matter: a case study at the US-JGOFS time series Station ALOHAThe development of coupled physical-biological models of ocean biogeochemistry is hampered by several critical knowledge gaps. Plankton models have attempted to incorporate the "microbial loop" and dissolved organic substances, but have done so using formulations that are highly uncertain, do not take into consideration a great deal of new information that has emerged over the past decade, and have not been shown to have greater predictive power than simple empirical formulations used in e.g. the Ocean Carbon Cycle Model Intercomparison Project protocols. As these processes play a significant role in biogeochemical cycling in the oceans, the development of more realistic models of this component of the community is critical to the development of global models that have a mechanistic basis for predicting elemental budgets.Of the JGOFS time-series study sites, the Hawaii Ocean Time-Series (HOT) has received the least attention from modelers. Observations at HOT deviate strongly from established paradigms of plankton ecology (seasonal convection, nitrate-based production, metazoan zooplankton as primary consumers) that are to some extent assumed in plankton models. The HOT data base provides an unprecedented opportunity to validate a more realistic model, as observations of dissolved organic substances have been made routinely throughout the HOT project, and significant interannual variability in these has been observed. Although there are significant uncertainties associated with one dimensional (depth-time) simulation, the high computational cost of three dimensional simulations makes extensive validation experiments with biological submodels impractical in such a context. In addition, the HOT data base is itself Eulerian, and significant interannual variability in ocean biogeochemistry has already been observed. To provide a meaningful simulation of such variability requires a mechanistic model not only of plankton population biology, but of the interface between biology and chemistry that is found in the decomposer loop. The PIs will use the HOT database to develop and test such a model.