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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：南海海洋研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Response of Southern China Winter Rainfall to El Nino Diversity and Its Relevance to Projected Southern China Rainfall Change 期刊论文 JOURNAL OF CLIMATE, 2019, 卷号: 32, 期号: 11, 页码: 3343, 3356 作者:  Wang, Dongxiao;  Wang, Qiang;  Cai, Wenju;  Zhong, Wenxiu;  Zeng, Lili 收藏  |  浏览/下载：18/0  |  提交时间：2019/09/09 El Nino  Rainfall  Climate variability  Model evaluation  performance  Model output statistics   A New Assessment of Mesoscale Eddies in the South China Sea: Surface Features, Three-Dimensional Structures, and Thermohaline Transports 期刊论文 JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2018, 卷号: 123, 期号: 7, 页码: 4906, 4929 作者:  Zhan, Weikang;  Huang, Gaolong;  He, Yinghui;  Cai, Shuqun;  Zhan, Haigang 收藏  |  浏览/下载：36/0  |  提交时间：2019/08/27 mesoscale eddies  three-dimensional structure  heat transport  salt transport  South China Sea   Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part II: Lagrangian Statistics 期刊论文 JOURNAL OF PHYSICAL OCEANOGRAPHY, 2015, 卷号: 45, 期号: 2, 页码: 459-477 作者:  Peng, Shiqiu;  Qian, Yu-Kun;  Lumpkin, Rick;  Li, Ping;  Wang, Dongxiao 收藏  |  浏览/下载：15/0  |  提交时间：2016/11/02 Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part II: Lagrangian Statistics 期刊论文 JOURNAL OF PHYSICAL OCEANOGRAPHY, 2015, 卷号: 45, 期号: 2, 页码: 459-477 作者:  Peng, Shiqiu;  Qian, Yu-Kun;  Lumpkin, Rick;  Li, Ping;  Wang, Dongxiao 收藏  |  浏览/下载：15/0  |  提交时间：2016/11/02 Role of the atmospheric mean state on the initiation of the Madden-Julian oscillation in a tropical channel model 期刊论文 CLIMATE DYNAMICS, 2011, 卷号: 36, 期号: 40545, 页码: 161-184 Ray, P; Zhang, CD; Moncrieff, MW; Dudhia, J; Caron, JM; Leung, LR; Bruyere, C 收藏  |  浏览/下载：16/0  |  提交时间：2011/07/14 Madden-Julian oscillation  Intraseasonal variability  Mean state  Extratropical influence  Tropical channel model