Spatio-temporal variability of surface chlorophyll <italic style="font-style: italic">a</italic> in the Yellow Sea and the East China Sea based on reconstructions of satellite data of 2001–2020

Weichen XIE; Tao WANG; Wensheng JIANG

doi:10.1007/s00343-023-2335-y

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Spatio-temporal variability of surface chlorophyll a in the Yellow Sea and the East China Sea based on reconstructions of satellite data of 2001–2020

Physics | Updated：2024-10-11

- Spatio-temporal variability of surface chlorophyll a in the Yellow Sea and the East China Sea based on reconstructions of satellite data of 2001–2020
- Journal of Oceanology and Limnology Vol. 42, Issue 2, Pages: 390-407(2024)
- Affiliations：
  
  1.Key Laboratory of Marine Environment and Ecology, Ocean University of China, Qingdao 266100, China
  2.College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
- Author bio：
  
  taowang@ouc.edu.cn
- Funds：
- DOI：10.1007/s00343-023-2335-y
  CLC：
- Received：05 October 2022，
  
  Published：01 March 2024
- Accepted：
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XIE Weichen,WANG Tao,JIANG Wensheng.Spatio-temporal variability of surface chlorophyll a in the Yellow Sea and the East China Sea based on reconstructions of satellite data of 2001–2020[J].Journal of Oceanology and Limnology,2024,42(02):390-407.
DOI：

XIE Weichen,WANG Tao,JIANG Wensheng.Spatio-temporal variability of surface chlorophyll a in the Yellow Sea and the East China Sea based on reconstructions of satellite data of 2001–2020[J].Journal of Oceanology and Limnology,2024,42(02):390-407. DOI： 10.1007/s00343-023-2335-y.

摘要

Abstract

Chlorophyll-

(Chl-

) concentration is a primary indicator for marine environmental monitoring. The spatio-temporal variations of sea surface Chl-

concentration in the Yellow Sea (YS) and the East China Sea (ECS) in 2001–2020 were investigated by reconstructing the MODIS Level 3 products with the data interpolation empirical orthogonal function (DINEOF) method. T

he reconstructed results by interpolating the combined MODIS daily +8-day datasets were found better than those merely by interpolating daily or 8-day data. Chl-

concentration in the YS and the ECS reached its maximum in spring

with blooms occurring

decreased in summer and autumn

and increased in late autumn and early winter. By performing empirical orthogonal function (EOF) decomposition of the reconstructed data fields and correlation analysis with several potential environmental factors

we found that the sea surface temperature (SST) plays a significant role in the seasonal variation of Chl ‍

especially during spring and summer. The increase of SST in spring and the upper-layer nutrients mixed up during the last winter might favor the occurrence of spring blooms. The high sea surface temperature (SST) throughout the summer would strengthen the vertical stratification and prevent nutrients supply from deep water

resulting in low surface Chl-

concentrations. The sea surface Chl-

concentration in the YS was found decreased significantly from 2012 to 2020

which was possibly related to the Pacific Decadal Oscillation (PDO).

关键词

Keywords

references

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Spatio-temporal variability of surface chlorophyll a in the Yellow Sea and the East China Sea based on reconstructions of satellite data of 2001–2020

DOI：10.1007/s00343-023-2335-y

摘要

Abstract

关键词

Keywords

references