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Interannual Salinity Variability Associated With the Central Pacific and Eastern Pacific El Ninos in the Tropical Pacific 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 卷号: 125, 期号: 10, 页码: 19
作者:  Zhi, Hai;  Zhang, Rong-Hua;  Lin, Pengfei;  Yu, Peng;  Zhou, Guanghui;  Shi, Shiwei
Adobe PDF(13185Kb)  |  收藏  |  浏览/下载：305/0  |  提交时间：2021/04/21
the eastern and central Pacific El Ninos  mixed layer salinity variability  salinity budget  the relationship between SST and MLS  
North Pacific Upper-Ocean Cold Temperature Biases in CMIP6 Simulations and the Role of Regional Vertical Mixing 期刊论文
JOURNAL OF CLIMATE, 2020, 卷号: 33, 期号: 17, 页码: 7523-7538
作者:  Zhu, Yuchao;  Zhang, Rong-Hua;  Sun, Jichang
Adobe PDF(3067Kb)  |  收藏  |  浏览/下载：238/0  |  提交时间：2021/04/14
Effects on Ocean Biology Induced by El Nino-Accompanied Positive Freshwater Flux Anomalies in the Tropical Pacific 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 卷号: 125, 期号: 1, 页码: 23
作者:  Tian, Feng;  Zhang, Rong-Hua;  Wang, Xiujun
Adobe PDF(7483Kb)  |  收藏  |  浏览/下载：74/0  |  提交时间：2020/09/24
Salinity effects on the 2014 warm "Blob" in the Northeast Pacific 期刊论文
ACTA OCEANOLOGICA SINICA, 2019, 卷号: 38, 期号: 9, 页码: 24-34
作者:  Zhi, Hai;  Lin, Pengfei;  Zhang, Rong-Hua;  Chai, Fei;  Liu, Hailong
Adobe PDF(2439Kb)  |  收藏  |  浏览/下载：377/0  |  提交时间：2020/01/03
warm "Blob"  mixed layer depth  surface and subsurface salinity anomalies  
Effects of Salinity Variability on Recent El Nino Events 期刊论文
ATMOSPHERE, 2019, 卷号: 10, 期号: 8, 页码: 20
作者:  Zhi, Hai;  Zhang, Rong-Hua;  Lin, Pengfei;  Shi, Shiwei
Adobe PDF(10326Kb)  |  收藏  |  浏览/下载：319/0  |  提交时间：2020/01/03
sea surface salinity anomaly  interannual variability  strong and weak El Nino  equatorial Pacific  
Model parameter-related optimal perturbations and their contributions to El Nino prediction errors 期刊论文
CLIMATE DYNAMICS, 2019, 卷号: 52, 期号: 3-4, 页码: 1425-1441
作者:  Tao, Ling-Jiang;  Gao, Chuan;  Zhang, Rong-Hua
Adobe PDF(6712Kb)  |  收藏  |  浏览/下载：205/0  |  提交时间：2019/05/15
Intermediate coupled model  CNOP approach  Model parameters  El Nino predictability