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2019•Unpublished venueRequires access

Investigation of the Chlorophyll-A Concentration Response to Sea Surface Temperature (SST) in the East China Sea

Chenxu Ji, Yuanzhi Zhang

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Abstract

Level 3 (4 km) monthly and 8-Day SST and CHL data from the MODIS-Aqua and MODIS-terra were fused and reconstructed by DINEOF method and used to detect the relationship between them. SSTs and CHL concentration are highly positive correlated in the coastal areas, with the correlation coefficient reaches 0.3505. The relationship between the CHL and SST is established by the 2-order Gaussian fitting, with the RMSE reaching 0.7776.

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What this paper is about

Level 3 (4 km) monthly and 8-Day SST and CHL data from the MODIS-Aqua and MODIS-terra were fused and reconstructed by DINEOF method and used to detect the relationship between them. SSTs and CHL concentration are highly positive correlated in the coastal areas, with the correlation coefficient reaches 0.3505. The relationship between the CHL and SST is established by the 2-order Gaussian fitting, with the RMSE reaching 0.7776.

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Available abstract

Level 3 (4 km) monthly and 8-Day SST and CHL data from the MODIS-Aqua and MODIS-terra were fused and reconstructed by DINEOF method and used to detect the relationship between them. SSTs and CHL concentration are highly positive correlated in the coastal areas, with the correlation coefficient reaches 0.3505. The relationship between the CHL and SST is established by the 2-order Gaussian fitting, with the RMSE reaching 0.7776.

Key concepts: Sea surface temperature, China sea, Oceanography, Environmental science, Chlorophyll a, China, Climatology, Geology

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