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Optimal Initial Error Growth in the Prediction of the Kuroshio Large Meander Based on a High-resolution Regional Ocean Model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 卷号: 35, 期号: 11, 页码: 1362-1372
Authors:  Li, Xia;  Wang, Qiang;  Mu, Mu
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Kuroshio large meander  predictability  ROMS  optimal initial error growth  
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
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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
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intermediate coupled model  ENSO modeling  4D-Var data assimilation system  optimization of model parameter and initial condition  
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
Authors:  Tao, Ling-Jiang;  Zhang, Rong-Hua;  Gao, Chuan
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El Nino Predictability  Initial Errors  Intermediate Coupled Model  Spring Predictability Barrier  
Optimal precursors triggering the Kuroshio Extension state transition obtained by the Conditional Nonlinear Optimal Perturbation approach 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2017, 卷号: 34, 期号: 6, 页码: 685-699
Authors:  Zhang, Xing;  Mu, Mu;  Wang, Qiang;  Pierini, Stefano
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Kuroshio Extension  States Transition  Cnop Approach  Optimal Precursor  Ocean Modeling  
Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2016, 卷号: 33, 期号: 7, 页码: 875-888
Authors:  Gao, Chuan;  Wu, Xinrong;  Zhang, Rong-Hua
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Four-dimensional Variational Data Assimilation  Intermediate Coupled Model  Twin Experiment  Enso Prediction  
Variation of the North Equatorial Current, Mindanao Current, and Kuroshio Current in a high-resolution data assimilation during 2008-2012 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2014, 卷号: 31, 期号: 6, 页码: 1445-1459
Authors:  Zhai Fangguo;  Wang Qingye;  Wang Fujun;  Hu Dunxin;  Zhai, FG (reprint author), State Ocean Adm, Inst Oceanog 3, Xiamen 361005, Peoples R China.
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Hycom Assimilation  North Equatorial Current  Mindanao Current  Kuroshio Current  Mindanao Dome  
Role of parameter errors in the spring predictability barrier for ENSO events in the Zebiak-Cane model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2014, 卷号: 31, 期号: 3, 页码: 647-656
Authors:  Yu Liang;  Mu Mu;  Yu, Yanshan;  Mu, M (reprint author), Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China.
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Enso Predictability  Spring Predictability Barrier  Initial Errors  Parameter Errors  Error Growth  
Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts? 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2014, 卷号: 31, 期号: 2, 页码: 252-262
Authors:  Qin Xiaohao;  Mu Mu;  Qin, XH (reprint author), Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China.
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Adaptive Observation  Tropical Cyclone  Intensity Forecast  Conditional Nonlinear Optimal Perturbation  
Remote effects of tropical cyclone wind forcing over the western Pacific on the eastern equatorial ocean 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 卷号: 30, 期号: 6, 页码: 1507-1525
Authors:  Zhang Ronghua;  Pei Yuhua;  Chen Dake
Adobe PDF(2757Kb)  |  Favorite  |  View/Download:72/0  |  Submit date:2014/08/28
Tropical Cyclone Wind Forcing  Ocean Modeling  Remote Effects  Ocean Pathway  Satellite Data  Nino-southern Oscillation  Mixed-layer Model  Fresh-water Flux  El-nino  North Pacific  Hurricane  Enso  Variability  Simulation  Intensity