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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：149/0  |  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：135/0  |  提交时间：2022/04/12
isopycnal analysis  spiciness anomalies  subduction pathway  advection role  decadal variability  North Pacific  
Upper Ocean Temperatures Hit Record High in 2020 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2021, 页码: 8
作者:  Cheng, Lijing;  Abraham, John;  Trenberth, Kevin E.;  Fasullo, John;  Boyer, Tim;  Locarnini, Ricardo;  Zhang, Bin;  Yu, Fujiang;  Wan, Liying;  Chen, Xingrong;  Song, Xiangzhou;  Liu, Yulong;  Mann, Michael E.;  Reseghetti, Franco;  Simoncelli, Simona;  Gouretski, Viktor;  Chen, Gengxin;  Mishonov, Alexey;  Reagan, Jim;  Zhu, Jiang
Adobe PDF(2104Kb)  |  收藏  |  浏览/下载：214/0  |  提交时间：2021/04/21
Persistence of Summer Sea Surface Temperature Anomalies in the Midlatitude North Pacific and Its Interdecadal Variability 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 7, 页码: 868-880
作者:  Zhao, Xia;  Yang, Guang;  Wang, Jing
Adobe PDF(16671Kb)  |  收藏  |  浏览/下载：227/0  |  提交时间：2019/08/21
SSTAs persistence  summertime  Kuroshio Extension  cloud feedback  interdecadal variability  
ENSO Predictions in an Intermediate Coupled Model Influenced by Removing Initial Condition Errors in Sensitive Areas: A Target Observation Perspective 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 7, 页码: 853-867
作者:  Tao, Ling-Jiang;  Gao, Chuan;  Zhang, Rong-Hua
Adobe PDF(1354Kb)  |  收藏  |  浏览/下载：330/0  |  提交时间：2019/08/21
El Nino prediction  initial condition errors  target observations  
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：274/0  |  提交时间：2017/03/21
Indian Ocean Sstas  Dipole Mode  Basin Mode  Enso Transition  Oceanic Channel  
Influence of positive and negative Indian Ocean Dipoles on ENSO via the Indonesian Throughflow: Results from sensitivity experiments 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2015, 卷号: 32, 期号: 6, 页码: 783-793
作者:  Zhou Qian;  Duan Wansuo;  Mu Mu;  Feng Rong
Adobe PDF(2994Kb)  |  收藏  |  浏览/下载：212/0  |  提交时间：2015/06/15
Iod  Pacific Ocean  Enso  Indonesian Throughflow  
Remote effects of tropical cyclone wind forcing over the western Pacific on the eastern equatorial ocean 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 卷号: 30, 期号: 6, 页码: 1507-1525
作者:  Zhang Ronghua;  Pei Yuhua;  Chen Dake
Adobe PDF(2757Kb)  |  收藏  |  浏览/下载：328/0  |  提交时间：2014/08/28
Tropical Cyclone Wind Forcing  Ocean Modeling  Remote Effects  Ocean Pathway  Satellite Data  Nino-southern Oscillation  Mixed-layer Model  Fresh-water Flux  El-nino  North Pacific  Hurricane  Enso  Variability  Simulation  Intensity  
Model evidence for interdecadal pathway changes in the subtropics and tropics of the South Pacific Ocean 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 卷号: 30, 期号: 1, 页码: 1-9
作者:  Zhang Ronghua;  Wang Zhanggui
Adobe PDF(856Kb)  |  收藏  |  浏览/下载：247/0  |  提交时间：2014/08/28
Water Pathway  Interdecadal Changes  Ocean Modeling  South Pacific Ocean  El-nino  Decadal Variability  Anomalies  Shift  Enso  Circulation  Origin  Gcm  
Summer persistence barrier of sea surface temperature anomalies in the central western north pacific 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2012, 卷号: 29, 期号: 6, 页码: 1159-1173
作者:  Zhao Xia;  Li Jianping;  Zhang Wenjun;  Li, JP (reprint author), Chinese Acad Sci, Inst Atmospher Phys, Natl Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing 100029, Peoples R China.
Adobe PDF(1003Kb)  |  收藏  |  浏览/下载：181/0  |  提交时间：2013/09/24
Sst Anomalies  Persistence Barrier  Oceanic Mixed Layer  Atmospheric Forcing  Positive Cloud Feedback On Sstas