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Evaluating the impact of sea surface temperature (SST) on spatial distribution of chlorophyll-a concentration in the East China Sea
International Journal of Applied Earth Observation and Geoinformation ( IF 7.5 ) Pub Date : 2018-03-20 , DOI: 10.1016/j.jag.2018.01.020
Chenxu Ji , Yuanzhi Zhang , Qiuming Cheng , JinYeu Tsou , Tingchen Jiang , X. San Liang

In this study, we analyze spatial and temporal sea surface temperature (SST) and chlorophylla (Chl-a) concentration in the East China Sea (ECS) during the period 2003–2016. Level 3 (4 km) monthly SST and Chl-a data from the Moderate Resolution Imaging Spectroradiometer Satellite (MODIS-Aqua) were reconstructed using the data interpolation empirical orthogonal function (DINEOF) method and used to evaluated the relationship between the two variables. The approaches employed included correlation analysis, regression analysis, and so forth. Our results show that certain strong oceanic SSTs affect Chl-a concentration, with particularly high correlation seen in the coastal area of Jiangsu and Zhejiang provinces. The mean temperature of the high correlated region was 18.67 °C. This finding may suggest that the SST has an important impact on the spatial distribution of Chl-a concentration in the ECS.



中文翻译:

评估海面温度(SST)对东海叶绿素a浓度空间分布的影响

在这项研究中,我们分析了时空海表温度(SST)和叶绿素a2003-2016年期间,东海(ECS)中的(Chl-a)浓度。使用数据插值经验正交函数(DINEOF)方法重建了中等分辨率成像光谱仪卫星(MODIS-Aqua)的第3级(4公里)每月SST和Chl-a数据,并用于评估这两个变量之间的关系。所采用的方法包括相关性分析,回归分析等。我们的结果表明,某些强的海洋SST会影响Chl-a浓度,在江苏和浙江沿海地区发现的相关性特别高。高相关区域的平均温度为18.67°C。这一发现可能表明,SST对ECS中Chl-a浓度的空间分布具有重要影响。

更新日期:2018-03-20
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