[1] |
Huizhen YU, Zhiyong MENG,
2022: The Impact of Moist Physics on the Sensitive Area Identification for Heavy Rainfall Associated Weather Systems, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 684-696.
doi: 10.1007/s00376-021-0278-9
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[2] |
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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[3] |
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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[4] |
ZHOU Feifan, MU Mu,
2012: The Time and Regime Dependencies of Sensitive Areas for Tropical Cyclone Prediction Using the CNOP Method, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 705-716.
doi: 10.1007/s00376-012-1174-0
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[5] |
ZHOU Feifan, MU Mu,
2012: The Impact of Horizontal Resolution on the CNOP and on Its Identified Sensitive Areas for Tropical Cyclone Predictions, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 36-46.
doi: 10.1007/s00376-011-1003-x
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[6] |
ZHOU Feifan, MU Mu,
2011: The Impact of Verification Area Design on Tropical Cyclone Targeted Observations Based on the CNOP Method, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 997-1010.
doi: 10.1007/s00376-011-0120-x
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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] |
WANG Qiang, MU Mu, Henk A. DIJKSTRA,
2012: Application of the Conditional Nonlinear Optimal Perturbation Method to the Predictability Study of the Kuroshio Large Meander, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 118-134.
doi: 10.1007/s00376-011-0199-0
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[9] |
SUN Guodong, MU Mu,
2012: Inducing Unstable Grassland Equilibrium States Due to Nonlinear Optimal Patterns of Initial and Parameter Perturbations: Theoretical Models, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 79-90.
doi: 10.1007/s00376-011-0226-1
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[10] |
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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[11] |
Xiangjun TIAN, Xiaobing FENG,
2019: An Adjoint-Free CNOP-4DVar Hybrid Method for Identifying Sensitive Areas in Targeted Observations: Method Formulation and Preliminary Evaluation, ADVANCES IN ATMOSPHERIC SCIENCES, , 721-732.
doi: 10.1007/s00376-019-9001-5
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[12] |
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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[13] |
Qian ZHOU, Wansuo DUAN, Xu WANG, Xiang LI, Ziqing ZU,
2021: The Initial Errors in the Tropical Indian Ocean that Can Induce a Significant “Spring Predictability Barrier” for La Niña Events and Their Implication for Targeted Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1566-1579.
doi: 10.1007/s00376-021-0427-1
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[14] |
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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[15] |
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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[16] |
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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[17] |
Xing ZHANG, Mu MU, Qiang WANG, Stefano PIERINI,
2017: Optimal Precursors Triggering the Kuroshio Extension State Transition Obtained by the Conditional Nonlinear Optimal Perturbation Approach, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 685-699.
doi: 10.1007/s00376-017-6263-7
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[18] |
WANG Bo, and HUO Zhenhua,
2013: Extended application of the conditional nonlinear optimal parameter perturbation method in the Common Land Model, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1213-1223.
doi: 10.1007/s00376-012-2025-8
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[19] |
JIANG Zhina, WANG Xin, WANG Donghai,
2015: Exploring the Phase-Strength Asymmetry of the North Atlantic Oscillation Using Conditional Nonlinear Optimal Perturbation, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 671-679.
doi: 10.1007/s00376-014-4094-3
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[20] |
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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