Reconstruction of chlorophyll a mass concentration in the East China Sea using Data INterpolating Empirical Orthogonal Functions

Journal of Marine Sciences ›› 2013, Vol. 31 ›› Issue (2): 10-15.

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Reconstruction of chlorophyll a mass concentration in the East China Sea using Data INterpolating Empirical Orthogonal Functions

HE Hai-lun, LI Yi, WANG Yuan, SONG Xun-shu, LIU Xiao-hui

State Key Laboratory of Satellite Ocean Environment Dynamics, The SecondInstitute of Oceanography, SOA, Hangzhou 310012, China

Received:2013-03-05 Revised:2013-03-21 Online:2013-06-15 Published:2022-11-29

Abstract

Abstract: Data INterpolating Empirical Orthogonal Functions (DINEOF) were used to reconstruct the chlorophyll a mass concentration from the three-level product of the MODIS-Aqua satellite. The monthly chlorophyll a mass concentration from 2003 to 2009 was obtained. The analysis on the filled data showed that the 7-years averaged chlorophyll a mass concentration in the nearshore is significantly larger than the one in the offshore. The seasonal chlorophyll-a mass concentration supports the conclusion that chlorophyll a in the East China Sea is mainly controlled by runoff of Changjiang River, sea surface temperature and monsoon. Furthermore, Empirical Orthogonal Functions were imposed on the chlorophyll a anomaly, and results showed that the first mode contribution is 37.8%, also the spatial pattern shows large value in the north-east of Changjiang River, and the corresponding temporal period is dominated by half a year or less. Meanwhile, the second mode contribution is 21.4%, the spatial pattern presents high value in the east of Changjiang River, and its temporal coefficient shows the inter-annual variance.

Key words: chlorophyll a mass concentration, Data INterpolating Empirical Orthogonal Functions, the East China Sea

CLC Number:

HE Hai-lun, LI Yi, WANG Yuan, SONG Xun-shu, LIU Xiao-hui. Reconstruction of chlorophyll a mass concentration in the East China Sea using Data INterpolating Empirical Orthogonal Functions[J]. Journal of Marine Sciences, 2013, 31(2): 10-15.

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Reconstruction of chlorophyll a mass concentration in the East China Sea using Data INterpolating Empirical Orthogonal Functions

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