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GAO Shan,WANG Hui,LIU Guimei,LI Hai. 2013. Spatio-temporal variability of chlorophyll a and its responses to sea surface temperature, winds and height anomaly in the western South China Sea. Acta Oceanologica Sinica, 32(1):48-58
Spatio-temporal variability of chlorophyll a and its responses to sea surface temperature, winds and height anomaly in the western South China Sea
Spatio-temporal variability of chlorophyll a and its responses to sea surface temperature, winds and height anomaly in the western South China Sea
Received:March 02, 2011  Revised:February 10, 2012
DOI:10.1007/s13131-013-0266-8
Key words:South China Sea  Chlorophyll a  temperature  wind  upwelling
中文关键词:  South China Sea  Chlorophyll a  temperature  wind  upwelling
基金项目:The National Natural Science Foundation of China under contract Nos 41076011, 41206023, 41222038 and key program under contract No. 40531006; and from the National Basic Research Program of China ("973" Program) under contract No. 2011CB403606.
Author NameAffiliationE-mail
GAO Shan National Marine Environmental Forecasting Center, State Oceanic Administration, Beijing 100081, China
College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China 
gaoshan_shining@163.com 
WANG Hui College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China  
LIU Guimei National Marine Environmental Forecasting Center, State Oceanic Administration, Beijing 100081, China  
LI Hai National Marine Environmental Forecasting Center, State Oceanic Administration, Beijing 100081, China  
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Abstract:
      To understand the response of marine ecosystem to environmental factors, the oceanographic (physical and biochemical) data are analyzed to examine the spatio-temporal distributions of chlorophyll a (Chl a) associated with surface temperature, winds and height anomaly for long periods (1997-2008) in the western South China Sea (SCS). The results indicate that seasonal and spatial distributions of Chl a are primarily influenced by monsoon winds and hydrography. A preliminary Empirical Orthogonal Function (EOF) analysis of remotely sensed data is used to assess basic characteristics of the response process of Chl a to physical changes, which reveals interannual variability of anomalous low Chl a values corresponding to strong El Niño (1997-1998), high values corresponding to strong La Niña (1999-2000), low Chl a corresponding to moderate El Niño (2001-2003), upward Chl a after warm event in 2005 off the east coast of Vietnam. The variability of Chl a in nearshore and the Mekong River Estuary (MER) waters also suggests its response to these warm or cold processes. Considering the evidence for covariabilities between Chl a and sea surface temperature, winds, height anomaly (upwelling or downwelling), cold waters input and strong winds mixing may play important roles in the spatial and temporal variability of high Chl a. Such research activities could be very important to gain a mechanistic understanding of ecosystem responses to the climate change in the SCS.
中文摘要:
      To understand the response of marine ecosystem to environmental factors, the oceanographic (physical and biochemical) data are analyzed to examine the spatio-temporal distributions of chlorophyll a (Chl a) associated with surface temperature, winds and height anomaly for long periods (1997-2008) in the western South China Sea (SCS). The results indicate that seasonal and spatial distributions of Chl a are primarily influenced by monsoon winds and hydrography. A preliminary Empirical Orthogonal Function (EOF) analysis of remotely sensed data is used to assess basic characteristics of the response process of Chl a to physical changes, which reveals interannual variability of anomalous low Chl a values corresponding to strong El Niño (1997-1998), high values corresponding to strong La Niña (1999-2000), low Chl a corresponding to moderate El Niño (2001-2003), upward Chl a after warm event in 2005 off the east coast of Vietnam. The variability of Chl a in nearshore and the Mekong River Estuary (MER) waters also suggests its response to these warm or cold processes. Considering the evidence for covariabilities between Chl a and sea surface temperature, winds, height anomaly (upwelling or downwelling), cold waters input and strong winds mixing may play important roles in the spatial and temporal variability of high Chl a. Such research activities could be very important to gain a mechanistic understanding of ecosystem responses to the climate change in the SCS.
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