[1] |
Xia LIU, Qiang WANG, Mu MU,
2018: Optimal Initial Error Growth in the Prediction of the Kuroshio Large Meander Based on a High-resolution Regional Ocean Model, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1362-1371.
doi: 10.1007/s00376-018-8003-z
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[2] |
DUAN Wansuo, ZHANG Rui,
2010: Is Model Parameter Error Related to a Significant Spring Predictability Barrier for El Nino events? Results from a Theoretical Model, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1003-1013.
doi: 10.1007/s00376-009-9166-4
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[3] |
ZHENG Qin*, SHA Jianxin, SHU Hang, and LU Xiaoqing,
2014: A Variant Constrained Genetic Algorithm for Solving Conditional Nonlinear Optimal Perturbations, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 219-229.
doi: 10.1007/s00376-013-2253-6
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[4] |
MU Mu, DUAN Wansuo, XU Hui, WANG Bo,
2006: Applications of Conditional Nonlinear Optimal Perturbation in Predictability Study and Sensitivity Analysis of Weather and Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 992-1002.
doi: 10.1007/s00376-006-0992-3
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[5] |
Bin MU, Juhui REN, Shijin YUAN, Rong-Hua ZHANG, Lei CHEN, Chuan GAO,
2019: The Optimal Precursors for ENSO Events Depicted Using the Gradient-definition-based Method in an Intermediate Coupled Model, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1381-1392.
doi: 10.1007/s00376-019-9040-y
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[6] |
Se-Hwan YANG, LI Chaofan, and LU Riyu,
2014: Predictability of Winter Rainfall in South China as Demonstrated by the Coupled Models of ENSEMBLES, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 779-786.
doi: 10.1007/s00376-013-3172-2
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[7] |
JIANG Zhina,
2006: Applications of Conditional Nonlinear Optimal Perturbation to the Study of the Stability and Sensitivity of the Jovian Atmosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 775-783.
doi: 10.1007/s00376-006-0775-x
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[8] |
BEI Naifang, Fuqing ZHANG,
2014: Mesoscale Predictability of Moist Baroclinic Waves: Variable and Scale-dependent Error Growth, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 995-1008.
doi: 10.1007/s00376-014-3191-7
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[9] |
SUN Guodong, MU Mu, ZHANG Yale,
2010: Algorithm Studies on How to Obtain a Conditional Nonlinear Optimal Perturbation (CNOP), ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1311-1321.
doi: 10.1007/s00376-010-9088-1
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[10] |
ZHU Benlu, LIN Wantao, ZHANG Yun,
2010: Analysis Study on Perturbation Energy and Predictability of Heavy Precipitation in South China, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 382-392.
doi: 10.1007/s00376-009-8164-x
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[11] |
QIN Xiaohao, MU Mu,
2014: Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts?, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 252-262.
doi: 10.1007/s00376-013-3008-0
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[12] |
ZHOU Feifan, DING Ruiqiang, FENG Guolin, FU Zuntao, DUAN Wansuo,
2012: Progress in the Study of Nonlinear Atmospheric Dynamics and Predictability of Weather and Climate in China (2007--2011), ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1048-1062.
doi: 10.1007/s00376-012-1204-y
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[13] |
LANG Xianmei, WANG Huijun,
2005: Seasonal Differences of Model Predictability and the Impact of SST in the Pacific, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 103-113.
doi: 10.1007/BF02930873
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[14] |
WangHuijun, Xue Feng, Bi Xunqiang,
1997: The Interannual Variability and Predictability in a Global Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 554-562.
doi: 10.1007/s00376-997-0073-2
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[15] |
Zhenhua HUO, Wansuo DUAN, Feifan ZHOU,
2019: Ensemble Forecasts of Tropical Cyclone Track with Orthogonal Conditional Nonlinear Optimal Perturbations, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 231-247.
doi: 10.1007/s00376-018-8001-1
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[16] |
DUAN Wansuo, LUO Haiying,
2010: A New Strategy for Solving a Class of Constrained Nonlinear Optimization Problems Related to Weather and Climate Predictability, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 741-749.
doi: 10.1007/s00376-009-9141-0
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[17] |
Ruiqiang DING, Baojia LIU, Bin GU, Jianping LI, Xuan LI,
2019: Predictability of Ensemble Forecasting Estimated Using the Kullback-Leibler Divergence in the Lorenz Model, ADVANCES IN ATMOSPHERIC SCIENCES, , 837-846.
doi: 10.1007/s00376-019-9034-9
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[18] |
SUN Guodong, MU Mu,
2011: Response of a Grassland Ecosystem to Climate Change in a Theoretical Model, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1266-1278.
doi: 10.1007/s00376-011-0169-6
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[19] |
SUN Guodong, MU Mu,
2013: Using the Lund-Potsdam-Jena Model to Understand the Different Responses of Three Woody Plants to Land Use in China, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 515-524.
doi: 10.1007/s00376-012-2011-1
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[20] |
WANG Huijun, FAN Ke, SUN Jianqi, LI Shuanglin, LIN Zhaohui, ZHOU Guangqing, CHEN Lijuan, LANG Xianmei, LI Fang, ZHU Yali, CHEN Hong, ZHENG Fei,
2015: A Review of Seasonal Climate Prediction Research in China, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 149-168.
doi: 10.1007/s00376-014-0016-7
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