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中国科学院海洋研究所机构知识库
Knowledge Management System Of Institute of Oceanology, Chinese Academy of Sciences
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On the Second-Year Warming in Late 2019 over the Tropical Pacific and Its Attribution to an Indian Ocean Dipole Event
期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2021, 卷号: 38, 期号: 12, 页码: 2153-2166
Authors:
Feng, Licheng
;
Liu, Fei
;
Zhang, Rong-Hua
;
Han, Xue
;
Yu, Bo
;
Gao, Chuan
Adobe PDF(3442Kb)
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Submit date:2022/01/05
second-year warming
IOD
wind stress anomalies
zonal advection feedback
thermocline feedback
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
Authors:
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)
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Submit date:2020/09/25
El Nino-Southern Oscillation (ENSO)
coupled ocean-atmosphere models
simulations and predictions
model biases and uncertainties
Separating freshwater flux effects on ENSO in a hybrid coupled model of the tropical Pacific
期刊论文
CLIMATE DYNAMICS, 2020, 页码: 22
Authors:
Gao, Chuan
;
Zhang, Rong-Hua
;
Karnauskas, Kristopher B.
;
Zhang, Lei
;
Tian, Feng
Adobe PDF(17407Kb)
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Submit date:2020/09/23
Freshwater flux effects
Sea surface salinity
Buoyancy flux
Feedbacks on ENSO
Layer and level ocean models
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
Authors:
Mu, Bin
;
Ren, Juhui
;
Yuan, Shijin
;
Zhang, Rong-Hua
;
Chen, Lei
;
Gao, Chuan
Adobe PDF(1429Kb)
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Submit date:2020/09/21
optimal precursor
ENSO
gradient-definition-based method
conditional nonlinear optimal perturbation
intermediate coupled model
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
Authors:
Hu, Junya
;
Zhang, Rong-Hua
;
Gao, Chuan
Adobe PDF(7642Kb)
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Submit date:2019/08/28
IOCAS ICM
hybrid coupled model
ENSO simulation
atmospheric response
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
Authors:
Tao, Ling-Jiang
;
Gao, Chuan
;
Zhang, Rong-Hua
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Submit date:2019/05/15
Intermediate coupled model
CNOP approach
Model parameters
El Nino predictability
Progress in ENSO prediction and predictability study
期刊论文
NATIONAL SCIENCE REVIEW, 2018, 卷号: 5, 期号: 6, 页码: 826-839
Authors:
Tang, Youmin
;
Zhang, Rong-Hua
;
Liu, Ting
;
Duan, Wansuo
;
Yang, Dejian
;
Zheng, Fei
;
Ren, Hongli
;
Lian, Tao
;
Gao, Chuan
;
Chen, Dake
;
Mu, Mu
Adobe PDF(1925Kb)
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Submit date:2019/08/27
ENSO prediction and predictability
coupled model
ensemble prediction
optimal error growth
probabilistic prediction
An improved simulation of the 2015 El Nio event by optimally correcting the initial conditions and model parameters in an intermediate coupled model
期刊论文
CLIMATE DYNAMICS, 2018, 卷号: 51, 期号: 1-2, 页码: 269-282
Authors:
Zhang, Rong-Hua
;
Tao, Ling-Jiang
;
Gao, Chuan
Adobe PDF(3230Kb)
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Submit date:2019/08/21
The 2015 El Nino event
ICM
The CNOP-based approach
Optimal bias corrections to ICs and MPs
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
Authors:
Tao, Ling-Jiang
;
Gao, Chuan
;
Zhang, Rong-Hua
Adobe PDF(1354Kb)
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Submit date: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
Authors:
Gao, Chuan
;
Zhang, Rong-Hua
;
Wu, Xinrong
;
Sun, Jichang
Adobe PDF(1370Kb)
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Submit date:2019/08/21
intermediate coupled model
ENSO modeling
4D-Var data assimilation system
optimization of model parameter and initial condition