| GAO Shan,WANG Hui,LIU Guimei,LI Hai.Spatio-temporal variability of chlorophyll a and its responses to sea surface temperature, winds and height anomaly in the western South China Sea[J].Acta Oceanologica Sinica,2013,32(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 |
| 投稿时间:2011-03-02 修订日期:2012-02-10 |
| DOI:10.1007/s13131-013-0266-8 |
| 中文关键词: South China Sea Chlorophyll a temperature wind upwelling |
| 英文关键词: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. |
| 作者 | 单位 | E-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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| 摘要点击次数: 885 |
| 全文下载次数: 670 |
| 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. |
| 英文摘要: |
| 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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