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：155/0  |  提交时间：2022/07/18
salinity  climatology  seasonal cycle  CMIP5  CMIP6  upper ocean  
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：218/0  |  提交时间：2021/04/21
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：176/0  |  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：323/0  |  提交时间：2019/08/28
mixed-layer salinity  salt budget  interannual variability  tropical Pacific  model simulation  
2018 Continues Record Global Ocean Warming 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 卷号: 36, 期号: 3, 页码: 249-252
作者:  Cheng, Lijing;  Zhu, Jiang;  Abraham, John;  Trenberth, Kevin E.;  Fasullo, John T.;  Zhang, Bin;  Yu, Fujiang;  Wan, Liying;  Chen, Xingrong;  Song, Xiangzhou
Adobe PDF(1850Kb)  |  收藏  |  浏览/下载：252/0  |  提交时间：2019/08/27
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：339/0  |  提交时间：2019/08/21
El Nino prediction  initial condition errors  target observations  
Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 4, 页码: 410-422
作者:  Gao, Chuan;  Zhang, Rong-Hua;  Wu, Xinrong;  Sun, Jichang
Adobe PDF(1370Kb)  |  收藏  |  浏览/下载：266/0  |  提交时间：2019/08/21
intermediate coupled model  ENSO modeling  4D-Var data assimilation system  optimization of model parameter and initial condition  
Initial error-induced optimal perturbations in ENSO predictions, as derived from an intermediate coupled model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2017, 卷号: 34, 期号: 6, 页码: 791-803
作者:  Tao, Ling-Jiang;  Zhang, Rong-Hua;  Gao, Chuan
Adobe PDF(1934Kb)  |  收藏  |  浏览/下载：261/0  |  提交时间：2017/09/29
El Nino Predictability  Initial Errors  Intermediate Coupled Model  Spring Predictability Barrier  
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：253/0  |  提交时间：2017/09/29
Kuroshio Extension  States Transition  Cnop Approach  Optimal Precursor  Ocean Modeling  
Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2016, 卷号: 33, 期号: 7, 页码: 875-888
作者:  Gao, Chuan;  Wu, Xinrong;  Zhang, Rong-Hua
Adobe PDF(1168Kb)  |  收藏  |  浏览/下载：317/0  |  提交时间：2016/09/21
Four-dimensional Variational Data Assimilation  Intermediate Coupled Model  Twin Experiment  Enso Prediction