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Prediction of the South China Sea Dipole Using SSA-MEM
Authors:Qiong Xia  Enbo Wei
Institution:1. Key laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, People’s Republic of China;2. School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, People’s Republic of China;3. University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
Abstract:ABSTRACT

A dipole structure appears in the sea surface height off the central coast of Vietnam during boreal summer in the South China Sea. This dipole, which possesses a chlorophyll signature associated with higher phytoplankton concentrations arising from nutrient upwelling, is important for the productivity of local fisheries. Multi-satellite sea level anomalies are used to investigate the life cycle of the dipole structure. By applying empirical orthogonal function (EOF) analysis, the third EOF mode (EOF 3) is found to represent the major variations of the dipole structure. By removing the temporal noise of EOF 3, a South China Sea dipole index is defined. This index captures the life cycle of the dipole including its generation, mature strength, and final termination. Both one-dimensional and two-dimensional forecasts are generated using a statistical forecasting method that combines singular-spectrum analysis and the maximum entropy method. The appearance of the dipole structure can be predicted with an accuracy of 78% at one-month lead times and an accuracy of 61% at one-year lead times.
Keywords:South China Sea  sea level dipole structure  SSA-MEM  statistical prediction
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