Validation and Intercomparison of Ocean Color Algorithms for Estimating Particulate Organic Carbon in the Oceans
Validation and Intercomparison of Ocean Color Algorithms for Estimating Particulate Organic Carbon in the Oceans
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DOI：
10.3389/fmars.2017.00251
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发表时间：
2017-08
影响因子：
3.7
通讯作者：
Hayley Evers-King;V. Martínez-Vicente;R. Brewin;G. Dall’Olmo;Anna Hickman;Thomas Jackson;T. Kostadinov;H. Krasemann;H. Loisel;R. Röttgers;Shovonlal Roy;D. Stramski;S. Thomalla;T. Platt;S. Sathyendranath
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文献类型：
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作者：
Hayley Evers-King;V. Martínez-Vicente;R. Brewin;G. Dall’Olmo;Anna Hickman;Thomas Jackson;T. Kostadinov;H. Krasemann;H. Loisel;R. Röttgers;Shovonlal Roy;D. Stramski;S. Thomalla;T. Platt;S. Sathyendranath
颗粒有机碳（POC）在海洋碳循环中发挥着至关重要的作用。尽管与其他碳库相比相对较小，但 POC 库具有较大的通量，并且与许多重要的海洋生物地球化学过程相关。卫星海洋颜色信号受颗粒成分、尺寸和浓度的影响，并提供了一种观察 POC 池在一定时间和空间尺度上的变化的方法。为了根据卫星海洋颜色数据准确估计 POC 浓度，需要经过充分验证并具有不确定性特征的算法。这里，使用不同光学变量导出 POC 的多种算法被应用于由海洋颜色气候变化倡议 (OC-CCI) 提供的合并卫星海洋颜色数据，并根据当前可用的最大的 $\textit{in situ}$ POC 测量数据库进行验证。该验证练习的结果表明多种算法的性能水平令人满意（从 \cite{stramski2008} 和 \cite{loisel2002} 的算法中观察到了最高性能）以及用户社区要求范围内的不确定性。可以通过应用这些算法来估计 POC 的常备库存，并产生估计的混合层综合 POC 全球库存，碳含量在 0.77 到 1.3 Pg C 之间。算法的性能因地区而异，这表明特定地区算法的混合可能为生成全球 POC 产品提供最佳途径。
Particulate Organic Carbon (POC) plays a vital role in the ocean carbon cycle. Though relatively small compared with other carbon pools, the POC pool is responsible for large fluxes and is linked to many important ocean biogeochemical processes. The satellite ocean-colour signal is influenced by particle composition, size, and concentration and provides a way to observe variability in the POC pool at a range of temporal and spatial scales. To provide accurate estimates of POC concentration from satellite ocean colour data requires algorithms that are well validated, with uncertainties characterised. Here, a number of algorithms to derive POC using different optical variables are applied to merged satellite ocean colour data provided by the Ocean Colour Climate Change Initiative (OC-CCI) and validated against the largest database of $\textit{in situ}$ POC measurements currently available. The results of this validation exercise indicate satisfactory levels of performance from several algorithms (highest performance was observed from the algorithms of \cite{stramski2008} and \cite{loisel2002}) and uncertainties that are within the requirements of the user community. Estimates of the standing stock of the POC can be made by applying these algorithms, and yield an estimated mixed-layer integrated global stock of POC between 0.77 and 1.3 Pg C of carbon. Performance of the algorithms vary regionally, suggesting that blending of region-specific algorithms may provide the best way forward for generating global POC products.