Evaluating the impact of sea surface temperature (SST) on spatial distribution of chlorophyll-a concentration in the East China Sea
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AbstractIn 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.
Acceptance Date31/01/2018
All Author(s) ListChenxu Ji, Yuanzhi Zhang, Qiuming Cheng, Jin Yeu Tsou, Ting Chen Jiang, X. San Liang
Journal nameInternational Journal of Applied Earth Observation and Geoinformation
Year2018
Month6
Volume Number68
PublisherElsevier
Pages252 - 261
ISSN0303-2434
LanguagesEnglish-United States
KeywordsSea surface temperature (SST), Chlorophyll-a concentration (Chl-a), The East China Sea (ECS), DINEOF, MODIS data

Last updated on 2020-05-04 at 02:05