中文版 | English

在结果中检索

IOCAS-IR

浏览/检索结果: 共22条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity? 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2022, 页码: 23
作者:  Liu, Yuanxin;  Cheng, Lijing;  Pan, Yuying;  Tan, Zhetao;  Abraham, John;  Zhang, Bin;  Zhu, Jiang;  Song, Junqiang
Adobe PDF(9919Kb)  |  收藏  |  浏览/下载：190/0  |  提交时间：2022/07/18
salinity  climatology  seasonal cycle  CMIP5  CMIP6  upper ocean  
Structure and Evolution of Decadal Spiciness Variability in the North Pacific during 2004-20, Revealed from Argo Observations 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2022, 页码: 14
作者:  Zhou, Guanghui;  Zhang, Rong-Hua
Adobe PDF(4536Kb)  |  收藏  |  浏览/下载：163/0  |  提交时间：2022/04/12
isopycnal analysis  spiciness anomalies  subduction pathway  advection role  decadal variability  North Pacific  
Record-Setting Ocean Warmth Continued in 2019 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2020, 卷号: 37, 期号: 2, 页码: 137-142
作者:  Cheng, Lijing;  Abraham, John;  Zhu, Jiang;  Trenberth, Kevin E.;  Fasullo, John;  Boyer, Tim;  Locarnini, Ricardo;  Zhang, Bin;  Yu, Fujiang;  Wan, Liying;  Chen, Xingrong;  Song, Xiangzhou;  Liu, Yulong;  Mann, Michael E.
Adobe PDF(3093Kb)  |  收藏  |  浏览/下载：193/0  |  提交时间：2020/09/22
Interannual Salinity Variability in the Tropical Pacific in CMIP5 Simulations 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 卷号: 36, 期号: 4, 页码: 378-396
作者:  Zhi, Hai;  Zhang, Rong-Hua;  Lin, Pengfei;  Yu, Peng
Adobe PDF(5481Kb)  |  收藏  |  浏览/下载：373/0  |  提交时间：2019/08/28
mixed-layer salinity  salt budget  interannual variability  tropical Pacific  model simulation  
Optimal Initial Error Growth in the Prediction of the Kuroshio Large Meander Based on a High-resolution Regional Ocean Model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 11, 页码: 1362-1372
作者:  Li, Xia;  Wang, Qiang;  Mu, Mu
Adobe PDF(16199Kb)  |  收藏  |  浏览/下载：377/0  |  提交时间：2019/08/27
Kuroshio large meander  predictability  ROMS  optimal initial error growth  
Optimal precursors triggering the Kuroshio Extension state transition obtained by the Conditional Nonlinear Optimal Perturbation approach 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2017, 卷号: 34, 期号: 6, 页码: 685-699
作者:  Zhang, Xing;  Mu, Mu;  Wang, Qiang;  Pierini, Stefano
Adobe PDF(9596Kb)  |  收藏  |  浏览/下载：270/0  |  提交时间：2017/09/29
Kuroshio Extension  States Transition  Cnop Approach  Optimal Precursor  Ocean Modeling  
Role of the oceanic channel in the relationships between the basin/dipole mode of SST anomalies in the tropical Indian Ocean and ENSO transition 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2016, 卷号: 33, 期号: 12, 页码: 1386-1400
作者:  Zhao, Xia;  Yuan, Dongliang;  Yang, Guang;  Zhou, Hui;  Wang, Jing
Adobe PDF(7013Kb)  |  收藏  |  浏览/下载：301/0  |  提交时间：2017/03/21
Indian Ocean Sstas  Dipole Mode  Basin Mode  Enso Transition  Oceanic Channel  
Assessment of Interannual Sea Surface Salinity Variability and Its Effects on the Barrier Layer in the Equatorial Pacific Using BNU-ESM 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2016, 卷号: 33, 期号: 3, 页码: 339-351
作者:  Zhi, Hai;  Zhang, Rong-Hua;  Zheng, Fei;  Lin, Pengfei;  Wang, Lanning;  Yu, Peng
Adobe PDF(6781Kb)  |  收藏  |  浏览/下载：344/0  |  提交时间：2016/05/03
Feedback  Interannual Variability  Sea Surface Salinity  Barrier Layer Thickness  
Simulation of salinity variability and the related freshwater flux forcing in the tropical Pacific: An evaluation using the Beijing normal university earth system model (BNU-ESM) 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2015, 卷号: 32, 期号: 11, 页码: 1551-1564
作者:  Zhi Hai;  Zhang Rong-Hua;  Lin Pengfei;  Wang Lanning
Adobe PDF(10521Kb)  |  收藏  |  浏览/下载：379/0  |  提交时间：2015/12/07
Freshwater Flux  Salinity  Feedback  Tropical Pacific  Bnu-esm  
Quantitative Analysis of the Feedback Induced by the Freshwater Flux in the Tropical Pacific Using CMIP5 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2015, 卷号: 32, 期号: 10, 页码: 1341-1353
作者:  Zhi Hai;  Zhang Rong-Hua;  Lin Pengfei;  Wang Lanning
Adobe PDF(6851Kb)  |  收藏  |  浏览/下载：268/2  |  提交时间：2015/12/07
Feedback  Freshwater Flux  Cmip5  Correlation