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首页> 外文期刊>Philosophical transactions of the Royal Society. Mathematical, physical, and engineering sciences >Assimilating satellite ocean-colour observations into oceanic ecosystem models
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Assimilating satellite ocean-colour observations into oceanic ecosystem models

机译：将卫星海洋颜色观测同化为海洋生态系统模型

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The effectiveness of ocean-colour data assimilation in providing robust biological-parameter estimates for basin-scale ecosystem models is investigated for a phytoplankton-zooplankton-nutrient model using North Atlantic satellite chlorophyll data. The model is forced by annual cycles of mixed-layer depth, day length, photosynthetically available radiation and a temperature-dependent phytoplankton maximum growth rate. Although ocean-colour data are potentially limited in their ability to constrain model parameters because they provide information about the phytoplankton component only, this limitation is offset by the volume of data available covering the range of possible biogeochemical responses to similar and widely varying physical conditions. The results are improved by applying wintertime nutrient estimates based on in situ observations as an additional constraint. Repeatability of parameter estimates obtained from independent samples is examined. Results obtained using regional and basin-wide sampling strategies for obtaining the optimization dataset are compared and the geographic applicability of the calibrated models is assessed. [References: 9]
机译：利用北大西洋卫星叶绿素数据，研究了海洋颜色数据同化为流域规模的生态系统模型提供可靠的生物参数估计值的有效性。该模型是由混合层深度，日长，光合有效辐射和温度依赖性浮游植物最大生长率的年度循环决定的。尽管海洋颜色数据仅能提供有关浮游植物成分的信息，因此它们限制模型参数的能力可能受到限制，但此限制已被覆盖对相似和广泛变化的物理条件可能的生物地球化学响应范围的可用数据量所抵消。通过应用基于原位观测的冬季营养素估算作为附加约束条件，可以改善结果。检查了从独立样本获得的参数估计值的可重复性。比较了使用区域和流域范围的采样策略获得的优化数据集所获得的结果，并评估了校准模型的地理适用性。 [参考：9]

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