A phytoplankton absorption-based primary productivity model for remote sensing in the Southern Ocean
A phytoplankton absorption-based primary productivity model for remote sensing in the Southern Ocean
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DOI：
10.1007/s00300-010-0949-y
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发表时间：
2011-01
期刊：
影响因子：
1.7
通讯作者：
T. Hirawake;S. Takao;N. Horimoto;T. Ishimaru;Y. Yamaguchi;M. Fukuchi
中科院分区：
文献类型：
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作者：
T. Hirawake;S. Takao;N. Horimoto;T. Ishimaru;Y. Yamaguchi;M. Fukuchi
近年来的全球环境变化，如海表温度升高，可能会影响南大洋浮游植物的初级生产力。然而，利用卫星数据估算净初级产量的模式使用海温和叶绿素（chl-a）浓度的不确定估算。基于浮游植物的光吸收系数，建立了基于南大洋卫星海洋颜色数据的初级生产力模型，以减少海面chl估计的不确定性和由海温导出的chl标准化生产力最佳值的偏差。新模型能够在- 2至25°C的范围内估算水柱（PPeu）的净初级生产力，而不依赖于温度，它解释了PPeu观测到的51%的变化，均方根误差（RMSE）为0.15。模型的应用表明，依赖海温的模式高估了副热带锋周围较暖水域的ppeu，而低估了亚南极锋向极地较冷水域的ppeu。这种基于吸收的初级生产力模型有助于研究南大洋物理环境时空变化与生物地球化学循环之间的关系。
Recent global environmental changes such as an increase in sea surface temperature (SST) are likely to impact primary productivity of phytoplankton in the Southern Ocean. However, models to estimate net primary production using satellite data use SST and uncertain estimation of chlorophylla(chl-a) concentration. A primary productivity model for satellite ocean color data from the Southern Ocean, which is based on the light absorption coefficient of phytoplankton to reduce uncertainties of sea surface chl-aestimations and bias in optimal values of chl-anormalized productivity derived from SST, has been developed. The new model was able to estimate net primary productivity in the water column (PPeu) without dependency on temperature when in the range of −2 to 25°C, and it explained 51% of the observed variability inPPeuwith a root mean square error (RMSE) of 0.15. Application of the model revealed that the SST dependent model has overestimatedPPeuin warmer waters around the Subtropical Front, and underestimatedPPeuin colder waters poleward of the Sub-Antarctic Front. This absorption-based primary productivity model contributes to a study of the relationship among spatio-temporal variations in the physical environment, and biogeochemical cycles in the Southern Ocean.