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海洋研究所 [32]
中国科学院大学 [4]
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期刊论文 [34]
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Optimally growing initial error for predicting the sudden shift in the Antarctic Circumpolar Current transport and its application to targeted observation
期刊论文
OCEAN DYNAMICS, 2022, 页码: 16
作者:
Zhou, Li
;
Zhang, Kun
;
Wang, Qiang
;
Mu, Mu
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浏览/下载:17/0
  |  
提交时间:2023/01/04
The Antarctic Circumpolar Current
Initial errors
CNOP
Targeted observation
Ocean prediction
Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences
期刊论文
CHINESE ANNALS OF MATHEMATICS SERIES B, 2022, 卷号: 43, 期号: 6, 页码: 1033-1048
作者:
Mu, Mu
;
Zhang, Kun
;
Wang, Qiang
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浏览/下载:0/0
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提交时间:2023/11/16
Conditional nonlinear optimal perturbation
Atmosphere
Ocean
Targeted observation
Predictability
Optimal Precursor Triggering Kuroshio Large Meander Decay Obtained in a Regional Ocean Model
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2022, 卷号: 127, 期号: 6, 页码: 18
作者:
Liu, Xia
;
Wang, Qiang
;
Zhang, Hui
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  |  
浏览/下载:19/0
  |  
提交时间:2022/07/18
predictability
large meander decay
optimal precursor
conditional nonlinear optimal perturbation
Optimal Precursors Triggering Sudden Shifts in the Antarctic Circumpolar Current Transport Through Drake Passage
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2021, 卷号: 126, 期号: 12, 页码: 19
作者:
Zhou, Li
;
Wang, Qiang
;
Mu, Mu
;
Zhang, Kun
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  |  
浏览/下载:34/0
  |  
提交时间:2022/02/18
Antarctic Circumpolar Current
optimal precursors
short-range prediction
baroclinic instability
CNOP
Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach
期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 页码: 12
作者:
Gao Yongli
;
Mu Mu
;
Zhang Kun
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  |  
浏览/下载:6/0
  |  
提交时间:2020/09/25
deep chlorophyll maximum (DCM) simulation
parameter uncertainty
conditional nonlinear optimal perturbation related to parameters (CNOP-P)
sensitivity
The Optimal Precursor of El Nino in the GFDL CM2p1 Model
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 卷号: 125, 期号: 3, 页码: 14
作者:
Yang, Zeyun
;
Fang, Xianghui
;
Mu, Mu
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  |  
浏览/下载:6/0
  |  
提交时间:2020/09/24
optimal precursor
ENSO
CNOP
GFDL CM2p1
PPSO
A useful approach to sensitivity and predictability studies in geophysical fluid dynamics: conditional non-linear optimal perturbation
期刊论文
NATIONAL SCIENCE REVIEW, 2020, 卷号: 7, 期号: 1, 页码: 214-223
作者:
Wang, Qiang
;
Mu, Mu
;
Sun, Guodong
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  |  
浏览/下载:14/0
  |  
提交时间:2020/09/22
CNOP
non-linear optimization
atmosphere
ocean
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
作者:
Tao, Ling-Jiang
;
Gao, Chuan
;
Zhang, Rong-Hua
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  |  
浏览/下载:52/0
  |  
提交时间:2019/05/15
Intermediate coupled model
CNOP approach
Model parameters
El Nino predictability
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
作者:
Zhang, Rong-Hua
;
Tao, Ling-Jiang
;
Gao, Chuan
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  |  
浏览/下载:26/0
  |  
提交时间:2019/08/21
The 2015 El Nino event
ICM
The CNOP-based approach
Optimal bias corrections to ICs and MPs
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
作者:
Zhang, Xing
;
Mu, Mu
;
Wang, Qiang
;
Pierini, Stefano
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  |  
浏览/下载:22/0
  |  
提交时间:2017/09/29
Kuroshio Extension
States Transition
Cnop Approach
Optimal Precursor
Ocean Modeling
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