Seasonal-to-interannual variability of chlorophyll in central western South China Sea extracted from SeaWiFS

Fuwen Qiu; Wendong Fang; Guohong Fang

doi:10.1007/s00343-011-9931-y

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Seasonal-to-interannual variability of chlorophyll in central western South China Sea extracted from SeaWiFS

Updated：2023-05-16

- Seasonal-to-interannual variability of chlorophyll in central western South China Sea extracted from SeaWiFS
- Journal of Oceanology and Limnology Vol. 29, Issue 1, Pages: 18-25(2011)
- Affiliations：
  
  1. Key Laboratory of Tropical Marine Environmental Dynamics South China Sea Institute of Oceanology Chinese Academy of Sciences
  2. Graduate University of Chinese Academy of Sciences
  3. First Institute of Oceanography State Oceanic Administration
- Author bio：
- Funds：
- DOI：10.1007/s00343-011-9931-y
  CLC：
- Online First：15 January 2011，
  
  Published：2011
- Accepted：
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Qiu, F., Fang, W. & Fang, G. Seasonal-to-interannual variability of chlorophyll in central western South China Sea extracted from SeaWiFS., Chin. J. Ocean. Limnol. 29, 18–25 (2011). https://doi.org/10.1007/s00343-011-9931-y
DOI：

Qiu, F., Fang, W. & Fang, G. Seasonal-to-interannual variability of chlorophyll in central western South China Sea extracted from SeaWiFS., Chin. J. Ocean. Limnol. 29, 18–25 (2011). https://doi.org/10.1007/s00343-011-9931-y DOI：

摘要

Abstract

Using 10-year (January 1998–October 2007) dataset of Sea-viewing Wide Field-of-view Sensor (SeaWiFS)

we extracted the dominant spatial patterns and temporal variations of the chlorophyll distribution in the central western South China Sea (SCS) through Empirical Orthogonal Function (EOF) analysis. The results show that the first EOF mode is characterized by a high chlorophyll concentration zone along the Vietnam coast. We found two peaks in summer (July–August) and in winter (December)

respectively

in normal years. The second EOF mode is characterized by a jet-shaped tongue of high chlorophyll concentration extending seaward to the northeast in summer (July–August). To investigate the interannual variability of the chlorophyll concentration

we extracted the first non-seasonal (annual cycle removed) EOF mode

which shows high spatial variability off the southeast Vietnam coast. Both spatial pattern and time coefficients correspond well with those of sea surface temperature mode

and are closely correlated to ENSO events

with a lag of 7 months.

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references

Campbell J. 1995. The lognormal distribution as a model for bio-optical variability in the sea. J. Geophys. Res., 100(C7): 13 237–13 254.

Chu P C, Lu S, Chen Y. 1997. Temporal and spatial variability of the South China Sea surface temperature anomaly. J. Geophys. Res., 102: 20 6955–20 937.

Fang G, Fang W, Fang Y, Wang K. 1998. A survey of studies on the South China Sea upper ocean circulation. Acta Oceanogr. Taiwan, 37(1): 1–16.

Fang W, Fang G, Shi P, Huang Q, Xie Q. 2002. Seasonal structures of upper layer circulation in the South China Sea from in situ observations. J. Geophys. Res., 107(C11): 3 202.

Fang W, Guo Z, Huang Y. 1998. Observational study of the circulation in the southern South China Sea. Chin. Sci. Bull., 43: 898–905.

Fang W, Guo J, Shi P, Mao Q. 2006. Low frequency variability of South China Sea surface circulation from 11 years of satellite altimeter data. Geophys. Res. Lett., 33: L22 612.

Ho C R, Kuo N J, Zheng Q, Soong Y S. 2000a. Dynamically active areas in the South China Sea detected from TOPEX/POSEIDON satellite altimeter data. Remote Sens. Environ., 71: 320–328.

Ho C R, Zheng Q, Soong Y S, Kuo N J, Hu J J. 2000b. Seasonal variability of sea surface height in the South China Sea observed with TOPEX/Poseidon altimeter data. J. Geophys. Res., 105(C6): 13 981–13 990.

Isoguchi O, Kawamura H. 2006. MJO-related summer cooling and phytoplankton blooms in the South China Sea in recent years. Geophys. Res. Lett., 33: L16 615.

Kuo N J, Zheng Q, Ho C R. 2000. Satellite observation of upwelling along the western coast of the South China Sea. Remote Sens, Environ., 74: 463–470.

Kuo N J, Zheng Q, Ho C R. 2004. Response of Vietnam coastal upwelling to the 1997-1998 ENSO event observed by multisensory data. Remote Sens, Environ., 89: 106–115.

Liu K K, Chao S Y, Shaw P T, Gong G C, Chen C C, Tang T Y. 2002. Monsoon-forced chlorophyll distribution and primary production in the South China Sea: observations and a numerical study. Part I, Deep Sea Res., 49: 1 387–1 412.

McPhaden, M J. 2008. Evolution of the 2006–07 El Niño: the role of intraseasonal to interannual time scale dynamics, Adv. Geosci., 14: 219–230.

O’Relly J E, Maritorena S, Siegel D A et al. 2000. Ocean color chlorophyll a algorithms for SeaWiFS, OC2, and OC4: version 4. In: Hooker S B, Firestone E R eds, SeaWiFS Postlaunch Calibration and Validation Analyses, Part 3. National Aeronautics and Space Administration Goddard Space Flight Center, Greenbelt, Maryland, p. 9–23.

Tang D L, Kawamura H, Dien T V, Lee M A. 2004. Offshore phytoplankton biomass increase and its oceanographic causes in the South China Sea. Mar. Ecol. Prog. Ser., 268: 31–41.

Wang C, Wang W, Wang D, Wang Q. 2006. Interannual variability of the South China Sea associated with El Niño. J. Geophys. Res., 111: C03 023.

Wang Y, Fang G, Wei Z, Qiao F, Chen H. 2006. Interannual variation of the South China Sea circulation and its relation to El Nino, as seen from a variable grid global ocean model. J. Geophys. Res., 111: C11S14.

Wentz F J, Gentemann C, Smith D, Chelton D. 2000. Satellite measurements of sea surface temperature through clouds. Science, 288: 847–850.

Wu C R, Shaw P T, Chao S Y. 1999. Assimilating altimeter data into a South China Sea model. J. Geophys. Res., 104: 29 987–30 005.

Wu C R, Chang J. 2005. Interannual variability of the South China Sea in a data assimilation model. Geophys. Res. Lett., 32: L17 611.

Wyrtki K. 1961. Physical oceanography of the Southeast Asian waters: Scientific results of marine investigations of the South China Sea and the Gulf of Thailand, NAGA Rep. 2. Scripps Inst. of Oceanogr., La Jolla, Calif. 195p.

Xie S P, Xie Q, Wang D, Liu W T. 2003. Summer upwelling in the South China Sea and its role in regional climate variations. J. Geophys. Res., 108(C8): 3 261.

Xie S P, Chang C H, Xie Q, Wang D. 2007. Intraseasonal variability in the summer South China Sea: Wind jet, cold filament, and recirculation. J. Geophys. Res., 112, C10008, doi:10.1029/2007JC004238.

Xu X, Zhang Q, Chen H. 1982. The general descriptions of the horizontal circulation in the South China Sea, in proceedings of the 1980 symposium of the Chinese Society of Marine Hydrology and Meteorology, Sci. Press, Beijing. p. 119–127.

Zhao H, Tang D L. 2007. Effect of 1998 El Niño on the distribution of phytoplankton in the South China Sea. J. Geophys. Res., 112: C02 017.

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