Journal
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
Volume 68, Issue -, Pages 252-261Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jag.2018.01.020
Keywords
Sea surface temperature (SST); Chlorophyll-alpha concentration (Chl-a); The East China Sea (ECS); DINEOF; MODIS data
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Funding
- National Key Research and Development Program of China [2016YFC1402003]
- State Key Lab Fund for Geological Processes and Mineral Resources
- Innovation Program for Research and Entrepreneurship Teams, Jiangsu Province, China
- Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
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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 degrees C. This finding may suggest that the SST has an important impact on the spatial distribution of Chl-a concentration in the ECS.
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