IOCAS-IR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共28条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Upper-Ocean Lateral Heat Transports in the Nino3.4 Region and Their Connection with ENSO 期刊论文
JOURNAL OF METEOROLOGICAL RESEARCH, 2022, 卷号: 36, 期号: 2, 页码: 360-373
作者:  Zhao, He;  Wu, Tongwen;  Li, Laurent Z. X.;  Wu, Fanghua;  Jie, Weihua;  Liu, Xiangwen;  Zhang, Ronghua;  Xie, Chengjun
Adobe PDF(894Kb)  |  收藏  |  浏览/下载:199/0  |  提交时间:2022/07/18
heat budget  lateral heat transport  surface heat flux  Nino3.4 region  El Nino-Southern Oscillation (EN-SO)  
A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2022, 页码: 14
作者:  Zhou, Lu;  Zhang, Rong-Hua
Adobe PDF(2978Kb)  |  收藏  |  浏览/下载:128/0  |  提交时间:2022/04/12
ENSO prediction  the principal oscillation pattern (POP) analyses  neural network  a hybrid approach  
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:140/0  |  提交时间:2022/04/12
isopycnal analysis  spiciness anomalies  subduction pathway  advection role  decadal variability  North Pacific  
Mesoscale Surface Wind-SST Coupling in a High-Resolution CESM Over the KE and ARC Regions 期刊论文
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2021, 卷号: 13, 期号: 12, 页码: 16
作者:  Tang, Zhijia;  Zhang, Rong-Hua;  Wang, Hongna;  Zhang, Shaoqing;  Wang, Hong
Adobe PDF(5518Kb)  |  收藏  |  浏览/下载:150/0  |  提交时间:2022/02/18
mesoscale coupling  atmospheric response mechanisms  high-resolution climate model  the Kuroshio Extensions (KE)  the Agulhas Return Current (ARC)  
Interannual Salinity Variability Associated With the Central Pacific and Eastern Pacific El Ninos in the Tropical Pacific 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 卷号: 125, 期号: 10, 页码: 19
作者:  Zhi, Hai;  Zhang, Rong-Hua;  Lin, Pengfei;  Yu, Peng;  Zhou, Guanghui;  Shi, Shiwei
Adobe PDF(13185Kb)  |  收藏  |  浏览/下载:278/0  |  提交时间:2021/04/21
the eastern and central Pacific El Ninos  mixed layer salinity variability  salinity budget  the relationship between SST and MLS  
Purely satellite data-driven deep learning forecast of complicated tropical instability waves 期刊论文
SCIENCE ADVANCES, 2020, 卷号: 6, 期号: 29, 页码: 9
作者:  Zheng, Gang;  Li, Xiaofeng;  Zhang, Rong-Hua;  Liu, Bin
Adobe PDF(7758Kb)  |  收藏  |  浏览/下载:88/0  |  提交时间:2020/09/25
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:181/0  |  提交时间:2020/09/25
El Nino-Southern Oscillation (ENSO)  coupled ocean-atmosphere models  simulations and predictions  model biases and uncertainties  
Impacts of Physical and Biological Processes on Spatial and Temporal Variability of Particulate Organic Carbon in the North Pacific Ocean during 2003-2017 期刊论文
SCIENTIFIC REPORTS, 2019, 卷号: 9, 页码: 15
作者:  Yu, Jun;  Wang, Xiujun;  Fan, Hang;  Zhang, Rong-Hua
Adobe PDF(7385Kb)  |  收藏  |  浏览/下载:175/0  |  提交时间:2020/09/21
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:327/0  |  提交时间:2019/08/28
mixed-layer salinity  salt budget  interannual variability  tropical Pacific  model simulation  
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:263/0  |  提交时间:2017/09/29
El Nino Predictability  Initial Errors  Intermediate Coupled Model  Spring Predictability Barrier