IOCAS-IR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                            
已选(0)清除 条数/页:   排序方式:
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:233/0  |  提交时间:2021/04/21
mesoscale air-sea coupling  western coast of South America  ocean model simulations  cooling effect  warm bias  
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:247/0  |  提交时间:2021/04/14
Freshwater Flux and Ocean Chlorophyll Produce Nonlinear Feedbacks in the Tropical Pacific 期刊论文
JOURNAL OF CLIMATE, 2019, 卷号: 32, 期号: 7, 页码: 2037-2055
作者:  Zhang, Rong-Hua;  Tian, Feng;  Busalacchi, Antonio J.;  Wang, Xiujun
Adobe PDF(2641Kb)  |  收藏  |  浏览/下载:222/0  |  提交时间:2019/05/15
Pacific Ocean  Atmosphere-ocean interaction  ENSO  Freshwater  Coupled models  Ecological models  
Mesoscale SST perturbation-induced impacts on climatological precipitation in the Kuroshio-Oyashio extension region, as revealed by the WRF simulations 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2019, 卷号: 37, 期号: 2, 页码: 385-397
作者:  Gao Jiaxiang;  Zhang Rong-Hua;  Wang Hongna
Adobe PDF(3093Kb)  |  收藏  |  浏览/下载:367/0  |  提交时间:2019/08/28
mesoscale SST perturbations and effects  WRF model  Kuroshio-Oyashio Extension  climatological precipitation  
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:213/0  |  提交时间:2019/05/15
Intermediate coupled model  CNOP approach  Model parameters  El Nino predictability  
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:386/0  |  提交时间:2019/08/21
El Nino prediction  initial condition errors  target observations