CNOP

作品数：49被引量：110H指数：8
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相关作者：穆穆王强周菲凡孙国栋郭维栋更多>>
相关机构：中国科学院大气物理研究所中国科学院中国科学院大学南京大学更多>>
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The Influence of Arctic Sea Ice Concentration Perturbations on Subseasonal Predictions of North Atlantic Oscillation Events
《Advances in Atmospheric Sciences》2023年第12期2242-2261,I0009-I0015,共27页Guokun DAI Mu MU Zhe HAN Chunxiang LI Zhina JIANG Mengbin ZHU Xueying MA 
the National Natural Science Foundation of China(Grant Nos.42288101,41790475,42005046,and 41775001).
The influence of Arctic sea ice concentration (SIC) on the subseasonal prediction of the North Atlantic Oscillation (NAO) event is investigated by utilizing the Community Atmospheric Model version 4. The optimal Arcti...
关键词：optimal Arctic SIC perturbation NAO event subseasonal prediction CNOP approach 
Effects of Dropsonde Data in Field Campaigns on Forecasts of Tropical Cyclones over the Western North Pacific in 2020 and the Role of CNOP Sensitivity被引量：3
《Advances in Atmospheric Sciences》2023年第5期791-803,共13页Xiaohao QIN Wansuo DUAN Pak-Wai CHAN Boyu CHEN Kang-Ning HUANG 
jointly sponsored by the National Nature Scientific Foundation of China(Grant.Nos.41930971 and 41775061);the National Key Research and Development Program of China(Grant No.2018YFC1506402)。
Valuable dropsonde data were obtained from multiple field campaigns targeting tropical cyclones,namely Higos,Nangka,Saudel,and Atsani,over the western North Pacific by the Hong Kong Observatory and Taiwan Central Weat...
关键词：tropical cyclones targeting observation field campaign CNOP sensitivity dropsonde intensity forecasts 
The Impact of Moist Physics on the Sensitive Area Identification for Heavy Rainfall Associated Weather Systems被引量：3
《Advances in Atmospheric Sciences》2022年第5期684-696,共13页Huizhen YU Zhiyong MENG 
supported by the National Nat-ural Science Foundation of China(Grant Nos.42030604,41875051,and 41425018).
The impact of moist physics on the sensitive areas identified by conditional nonlinear optimal perturbation(CNOP)is examined based on four typical heavy rainfall cases in northern China through performing numerical ex...
关键词：moist physics heavy rainfall sensitive area CNOP 
Identification of the sensitive area for targeted observation to improve vertical thermal structure prediction in summer in the Yellow Sea被引量：1
《Acta Oceanologica Sinica》2021年第7期77-87,共11页Huiqin Hu Jingyi Liu Lianglong Da Wuhong Guo Kun Liu Baolong Cui 
The National Natural Science Foundation of China under contract Nos 41705081 and 41906005;the Innovation Special Zone Project under contract No.18-H863-05-ZT-001-012-06;the Open Project Fund of the Laboratory for Regional Oceanography and Numerical Modeling,Pilot National Laboratory for Marine Science and Technology(Qingdao)under contract No.2019A05.
The sensitive area of targeted observations for short-term(7 d)prediction of vertical thermal structure(VTS)in summer in the Yellow Sea was investigated.We applied the Conditional Nonlinear Optimal Perturbation(CNOP)m...
关键词：targeted observation sensitive area vertical thermal structure(VTS) conditional nonlinear optimal perturbation(CNOP) 
Increasingly important role of numerical modeling in oceanic observation design strategy: A review被引量：4
《Science China Earth Sciences》2020年第11期1678-1690,共13页Kun ZHANG Mu MU Qiang WANG 
supported by the National Natural Science Foundation of China(Grant Nos.41806013,41790475);the China Postdoctoral Science Foundation(Grant No.2017M622290);the NSFC Innovative Group Grant(Grant No.41421005);the NSFCShandong Joint Fund for Marine Science Research Centers(Grant No.U1406401)。
Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades.This study addresses the critical role of numerical modeling in oceanic observation design.Fo...
关键词：Observation design Numerical modeling Targeted observation CNOP 
A useful approach to sensitivity and predictability studies in geophysical fluid dynamics: conditional non-linear optimal perturbation被引量：5
《National Science Review》2020年第1期214-223,共10页Qiang Wang Mu Mu Guodong Sun 
supported by the National Natural Science Foundation of China(41576015);the Qingdao National Laboratory for Marine Science and Technology(QNLM2016ORP0107);the Strategic Priority Research Program of Chinese Academy of Sciences(XDA20060502);the NSFC Innovative Group(41421005);the National Programme on Global Change and AirSea Interaction(GASI-IPOVAI-06);the NSFC-Shandong Joint Fund for Marine Science Research Centers(U1606402);the Youth Innovation Promotion Association,Chinese Academy of Sciences(2015060)
In atmospheric and oceanic studies,it is important to investigate the uncertainty of model solutions.The conditional non-linear optimal perturbation(CNOP)method is useful for addressing the uncertainty.This paper revi...
关键词：CNOP NON-LINEAR optimization ATMOSPHERE OCEAN 
Targeted Observations for Improving Prediction of the NAO Onset被引量：2
《Journal of Meteorological Research》2019年第6期1044-1059,共16页Guokun DAI Mu MU Zhina JIANG 
Supported by the National Natural Science Foundation of China(41775001);Technology Development Foundation of Chinese Academy of Meteorological Sciences(2018KJ036).
Based on the viewpoint that the North Atlantic Oscillation(NAO)has an intrinsic timescale of approximate two weeks and can be treated as an initial value problem,targeted observations for improving the prediction of t...
关键词：North ATLANTIC Oscillation(NAO) targeted observations EDDY VORTICITY forcing(EVF) conditional nonlinear optimal perturbation(CNOP) 
Optimal precursors of double-gyre regime transitions with an adjoint-free method被引量：1
《Journal of Oceanology and Limnology》2019年第4期1137-1153,共17页YUAN Shijin LI Mi WANG Qiang ZHANG Kun ZHANG Huazhen MU Bin 
Supported by the National Natural Science Foundation of China(No.41405097);the Fundamental Research Funds for the Central Universities of China in 2017
In this paper, we find the optimal precursors which can cause double-gyre regime transitions based on conditional nonlinear optimal perturbation (CNOP) method with Regional Ocean Modeling System (ROMS). Firstly, we si...
关键词：OPTIMAL precursors double-gyre regime transitions conditional nonlinear OPTIMAL perturbation (CNOP) Principal Component Analysis-based Simulated Annealing (PCASA) multipleequilibria regimes 
An Adjoint-Free CNOP–4DVar Hybrid Method for Identifying Sensitive Areas in Targeted Observations: Method Formulation and Preliminary Evaluation被引量：4
《Advances in Atmospheric Sciences》2019年第7期721-732,共12页Xiangjun TIAN Xiaobing FENG 
partially supported by the National Key R&D Program of China (Grant No. 2016YFA0600203);the National Natural Science Foundation of China (Grant No. 41575100)
This paper proposes a hybrid method, called CNOP–4 DVar, for the identification of sensitive areas in targeted observations, which takes the advantages of both the conditional nonlinear optimal perturbation(CNOP) and...
关键词：CNOP 4DVAR NLS-4DVar TARGETED observations SENSITIVE area identification 
CNOP-P-based parameter sensitivity for double-gyre variation in ROMS with simulated annealing algorithm被引量：3
《Journal of Oceanology and Limnology》2019年第3期957-967,共11页YUAN Shijin ZHANG Huazhen LI Mi MU Bin 
Supported by the National Natural Science Foundation of China(No.41405097);the Fundamental Research Funds for the Central Universities of China in 2017
Reducing the error of sensitive parameters by studying the parameters sensitivity can reduce the uncertainty of the model,while simulating double-gyre variation in Regional Ocean Modeling System(ROMS).Conditional Nonl...
关键词：parameter sensitivity DOUBLE GYRE Regional Ocean Modeling System(ROMS) CONDITIONAL Nonlinear Optimal Perturbation(CNOP-P) simulated annealing(SA)algorithm 
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