IOCAS-IR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共41条,第1-10条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
Zonal Structure of Tropical Pacific Surface Salinity Anomalies Affects ENSO Intensity and Asymmetry 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2022, 卷号: 49, 期号: 1, 页码: 10
作者:  Guan, Cong;  Tian, Feng;  McPhaden, Michael J.;  Wang, Fan;  Hu, Shijian;  Zhang, Rong-Hua
Adobe PDF(5259Kb)  |  收藏  |  浏览/下载:207/0  |  提交时间:2022/04/12
ENSO  ENSO asymmetry  ENSO intensity  freshwater flux  salinity  vertical entrainment  
An ocean modeling study to quantify wind forcing and oceanic mixing effects on the tropical North Pacific subsurface warm bias in CMIP and OMIP simulations 期刊论文
CLIMATE DYNAMICS, 2021, 页码: 16
作者:  Zhu, Yuchao;  Zhang, Rong-Hua;  Li, Delei
Adobe PDF(7031Kb)  |  收藏  |  浏览/下载:204/0  |  提交时间:2021/11/30
Model errors  Subsurface temperature bias  CMIP  OMIP simulations  Vertical mixing scheme  Wind forcing errors  
Coupling ocean-atmosphere intensity determines ocean chlorophyll-induced SST change in the tropical Pacific 期刊论文
CLIMATE DYNAMICS, 2021, 页码: 21
作者:  Tian, Feng;  Zhang, Rong-Hua;  Wang, Xiujun
Adobe PDF(3219Kb)  |  收藏  |  浏览/下载:273/0  |  提交时间:2021/04/14
Mesoscale wind stress-SST coupling induced feedback to the ocean in the western coast of South America 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 页码: 15
作者:  Cui, Chaoran;  Zhang, Rong-Hua;  Wei, Yanzhou;  Wang, Hongna
Adobe PDF(11609Kb)  |  收藏  |  浏览/下载:226/0  |  提交时间:2021/04/21
mesoscale air-sea coupling  western coast of South America  ocean model simulations  cooling effect  warm bias  
A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 卷号: 38, 期号: 4, 页码: 930-961
作者:  Zhang Rong-Hua;  Yu Yongqiang;  Song Zhenya;  Ren Hong-Li;  Tang Youmin;  Qiao Fangli;  Wu Tongwen;  Gao Chuan;  Hu Junye;  Tian Feng;  Zhu Yuchao;  Chen Lin;  Liu Hailong;  Lin Pengfei;  Wu Fanghua;  Wang Lin
Adobe PDF(3839Kb)  |  收藏  |  浏览/下载:203/0  |  提交时间:2020/09/25
El Nino-Southern Oscillation (ENSO)  coupled ocean-atmosphere models  simulations and predictions  model biases and uncertainties  
Representing surface wind stress response to mesoscale SST perturbations in western coast of South America using Tikhonov regularization method 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 卷号: 38, 期号: 3, 页码: 679-694
作者:  Cui Chaoran;  Zhang Rong-Hua;  Wang Hongna;  Wei Yanzhou
Adobe PDF(5389Kb)  |  收藏  |  浏览/下载:285/0  |  提交时间:2020/09/24
mesoscale air-sea coupling  Tikhonov's regularization method  western coast of South America  
The Optimal Precursors for ENSO Events Depicted Using the Gradient-definition-based Method in an Intermediate Coupled Model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 卷号: 36, 期号: 12, 页码: 1381-1392
作者:  Mu, Bin;  Ren, Juhui;  Yuan, Shijin;  Zhang, Rong-Hua;  Chen, Lei;  Gao, Chuan
Adobe PDF(1429Kb)  |  收藏  |  浏览/下载:195/0  |  提交时间:2020/09/21
optimal precursor  ENSO  gradient-definition-based method  conditional nonlinear optimal perturbation  intermediate coupled model  
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:383/0  |  提交时间:2020/01/03
warm "Blob"  mixed layer depth  surface and subsurface salinity anomalies  
A Hybrid Coupled Ocean-Atmosphere Model and Its Simulation of ENSO and Atmospheric Responses 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 卷号: 36, 期号: 6, 页码: 643-657
作者:  Hu, Junya;  Zhang, Rong-Hua;  Gao, Chuan
Adobe PDF(7642Kb)  |  收藏  |  浏览/下载:330/0  |  提交时间:2019/08/28
IOCAS ICM  hybrid coupled model  ENSO simulation  atmospheric response  
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:367/0  |  提交时间:2019/08/28
mixed-layer salinity  salt budget  interannual variability  tropical Pacific  model simulation