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| 1 | Sea surface temperature anomalies in the South China Sea during mature phase of ENSO显示文摘Based on the 18-year(1993–2010) National Centers for Environmental Prediction optimum interpolation sea surface temperature(SST) and simple ocean data assimilation datasets,this study investigated the patterns of the SST anomalies(SSTAs) that occurred in the South China Sea(SCS) during the mature phase of the El Ni?o/Southern Oscillation.The most dominant characteristic was that of the outof-phase variation between southwestern and northeastern parts of the SCS,which was influenced primarily by the net surface heat flux and by horizontal thermal advection.The negative SSTA in the northeastern SCS was caused mainly by the loss of heat to the atmosphere and because of the cold-water advection from the western Pacific through the Luzon Strait during El Ni?o episodes.Conversely,it was found that the anomalous large-scale atmospheric circulation and weakened western boundary current during El Ni?o episodes led to the development of the positive SSTA in the southwestern SCS. | 丘福文 潘爱军 张善武 查晶 孙豪为 | 2016 | Chinese Journal of Oceanology and Limnology2016，34，3： | 1 |
| 2 | Advancing Climate Dynamics Toward Reliable Regional Climate Projections显示文摘With a scientific consensus reached regarding the anthropogenic effect on global mean temperature, developing reliable regional climate projections has emerged as a new challenge for climate science. A national project was launched in China in 2012 to study ocean's role in regional climate change. This paper starts with a review of recent advances in the study of regional climate re-sponse to global warming, followed by a description of the Chinese project including the rationale, objectives, and plan for field ob-servations. The 15 research articles that follow in the special issue are highlighted, representing some of the initial results from the project. | XIE Shang-Ping | 2013 | Journal of Ocean University of China2013，12，2： | 1 |
| 3 | 运用CSEOF方法分析南海表面温度季节与年际变化显示文摘本文基于粗分辨率卫星数据和中尺度分辨率ROMS模型数据,通过一种较新的循环平稳经验正交函数(CSEOF)方法,分析南海表面温度的季节变化与年际变化,其中南海表面温度的第一模态和第二模态分别代表南海温度的季节变化信号和随ENSO变化的信号。卫星与模型的第一模态的空间分布较为一致,南海北部相对南部具有更强的季节变化,第一模态时间序列主成分与Nino3指数具有一定相关性,但相关系数小于30%。卫星与模型第二模态时间序列主成分与Nino3相关性较高,均大于50%,落后Nino3指数7个月。通过对比模型与卫星结果发现,中尺度过程的引入仅使第二模态空间分布更为复杂,而对第一模态的季节变化及与ENSO信号的相关性并没有显著影响。赤道太平洋温度异常通过大气环流无延迟的影响南海的云层覆盖和蒸发,进而影响南海表面的短波辐射和潜热通量,混合层中垂向混合和夹带过程可能是阻碍南海表面温度过快响应净热通量改变的原因。 | 王冠楠 钟贻森 周朦 刘海龙 张召儒 周磊 | 2019 | 中国海洋大学学报(自然科学版)2019，49，6： | 0 |
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