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A Transformer-Based Deep Learning Model for Successful Predictions of the 2021 Second-Year La Nina Condition 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2023, 卷号: 50, 期号: 12, 页码: 10
作者:  Gao, Chuan;  Zhou, Lu;  Zhang, Rong-Hua
收藏  |  浏览/下载：120/0  |  提交时间：2023/11/30
the 2021 second-year cooling condition  a transformer-based deep learning model  3D multivariate prediction  subsurface thermal effect  comparison with dynamical models  
Effects of Temperature and Salinity on Surface Currents in the Equatorial Pacific 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2022, 卷号: 127, 期号: 4, 页码: 22
作者:  Chen, Lu;  Zhang, Rong-Hua;  Gao, Chuan
Adobe PDF(3933Kb)  |  收藏  |  浏览/下载：181/0  |  提交时间：2022/07/18
the equatorial Pacific  surface currents  OSCAR product  temperature and salinity effects  
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：374/0  |  提交时间：2019/08/21
El Nino prediction  initial condition errors  target observations  
Role of subsurface entrainment temperature (Te) in the onset of El Nio events, as represented in an intermediate coupled model 期刊论文
CLIMATE DYNAMICS, 2016, 卷号: 46, 期号: 5-6, 页码: 1417-1435
作者:  Zhang, Rong-Hua;  Gao, Chuan
Adobe PDF(3836Kb)  |  收藏  |  浏览/下载：309/0  |  提交时间：2016/05/03