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Meridional deflection of global eddy propagation derived from tandem altimetry: Mechanism and implication

Science China Earth Sciences 2024年第3期67卷 811-825页

作者： ge chen Xiaoyan chen Frontiers Science Center for Deep Ocean Multispheres and Earth System School of Marine TechnologyOcean University of ChinaQindao 266100China Laboratory for Regional Oceanography and Numerical Modeling Laoshan LaboratoryQindao 266237China

A common view on meridional deflection of eddy propagation is poleward for cyclones and equatorward for anticyclones. This widely accepted polarity-sensitive pattern has been increasingly undermined given that it is systematically violated on both zonal and regional scales as recently reported. Here, we approach the problem by exploring these violations in terms of eddy effects of spatiotemporal geostrophy, thermal fading, and flow dragging, yielding the following main conclusions.(1) The polarity-dependent deflection discrepancy is a pseudo feature resulting from a biased fit to the normalized eddy tracks which are spatially asymmetric(though azimuthally symmetric) between the two signs;Instead, the primary pattern of eddy deflection appears to be geographically correlated and polarity independent.(2) geostrophic adjustment plays a critical role in defining the meridional movement of an eddy. Specifically, a consistent poleward(equatorward) trajectory bending of spatially(temporally) ageostrophic eddies is observed irrespective of their polarity.(3) The mechanism of eddy deflection is also determined by its zonal propagation direction. Westward propagating eddies are substantially affected by thermal fading, while opposite ones by flow dragging. A realistic and comprehensive understanding of eddy deflection mechanisms serves as a significant contribution to the prediction of eddy trajectory, and the protection of ocean environment.

关键词： Mesoscale eddies Eddy propagation Eddy meridional deflection Satellite observation geostrophic adjustment

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Consensus of Flocks under M-Nearest-Neighbor Rules

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Journal of Systems Science & Complexity 2015年第1期28卷 1-15页

作者： chen chen chen ge GUO Lei Academy of Mathematics and Systems Science Chinese Academy of Sciences

This paper investigates a class of flocks with an M-nearest-neighbor rule,where each agent's neighbors are determined according to M nearest agents with M being a given integer,rather than all the agents within a fixed metric distance as in the well-known Vicsek's *** a neighbor rule has been validated by biologists through experiments and the authors will prove that,similar to the Vicsek's model,such a new neighbor rule can also achieve consensus under some conditions imposed only on the system's speed and the number M,n,without resorting to any priori connectivity assumptions on the trajectory of the *** particular,the authors will prove that if the number M is proportional to the population size n,then for any speed v,the system will achieve consensus with large probability if the population size is large enough.

关键词： Consensus multi-agent systems M-nearest neighbor random geometric graph topological distance.

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From solar terms to medical terms(Part Ⅰ): A first step with big data

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Science China Earth Sciences 2017年第9期60卷 1707-1718页

作者： chen ge SHI Jie College of Information Science and Engineering Ocean University of China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and Technology Department of Pharmacy Municipal Hospital of Qingdao

The story of the Twenty-four Solar Terms(24-ST_s) is one of the most popular elements in Chinese culture, which has a profound influence on agriculture production, health care, and even daily life in both ancient and modern China. This traditional calendric system was invented by the Chinese ancestors through combining fundamental astronomical knowledge with climatic and phenological conditions in the Yellow River Basin some 2000 years ago. Although the basic philosophy of the 24-ST_s remains valid for the country as a whole to date, their regional robustness has been increasingly challenged by accumulating observational data in terms of temporal shift and spatial inhomogeneity. To tackle these issues, we propose to recalibrate the medically related critical timings of Great Heat and Great Cold in the classic ST system by using big meteorological data, and adjust them by introducing geographically correlated analytical models. As a result, a novel calendric system, called the Twenty-four Medical Terms(24-MT_s), has been developed as an upgraded version of the traditional 24-ST_s. The proposed 24-MT_s are characterized by two striking features with respect to the 24-ST_s: A varying duration of each MT instead of a fixed one for the ST, and a geographically dependent timing for each MT instead of a unified one for the entire nation. As such, the updated 24-MT_s are expected to provide a more realistic estimate of these critical timings around the year, and hence, a more precise guidance to agronomic planning and health care activity in China.

关键词： Solar Terms Medical Terms Big Data

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Convergence Rate of the Asymmetric Deffuant-Weisbuch Dynamics

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Journal of Systems Science & Complexity 2015年第4期28卷 773-787页

作者： ZHANG Jiangbo chen ge The Faculty of Science Southwest Petroleum University Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences

This paper considers the convergence rate of an asymmetric Deffuant-Weisbuch *** model is composed by finite n interacting *** this model,agent i’s opinion is updated at each time,by first selecting one randomly from n agents,and then combining the selected agent j’s opinion if the distance between j’s opinion and i’s opinion is not larger than the confidence radiusε*** yields the endogenously changing inter-agent *** on the previous result that all agents opinions will converge almost surely for any initial states,the authors prove that the expected potential function of the convergence rate is upper bounded by a negative exponential function of time t when opinions reach consensus finally and is upper bounded by a negative power function of time t when opinions converge to several different limits.

关键词： Convergence rute Deffuant-Weisbuch model multi-agent systems opinion dynamics.

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Flocking with general Local Interaction and Large Population

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Journal of Systems Science & Complexity 2019年第6期32卷 1498-1525页

作者： chen ge LIU Zhixin Key Laboratory of Systems and Control & National Center for Mathematics and Interdisciplinary Sciences Academy of Mathematics and Systems Science Chinese Academy of Sciences

This paper studies a flocking model in which the interaction between agents is described by a general local nonlinear function depending on the distance between agents. The existing analysis provided sufficient conditions for flocking under an assumption imposed on the system’s closed-loop states; however this assumption is hard to verify. To avoid this kind of assumption the authors introduce some new methods including large deviations theory and estimation of spectral radius of random geometric graphs. For uniformly and independently distributed initial states, the authors establish sufficient conditions and necessary conditions for flocking with large population. The results reveal that under some conditions, the critical interaction radius for flocking is almost the same as the critical radius for connectivity of the initial neighbor graph.

关键词： Consensus Cucker-Smale model flocking model multi-agent systems random geometric graph

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From solar terms to medical terms(PartⅡ):Some implications for traditional Chinese Medicine

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Science China Earth Sciences 2017年第11期60卷 2051-2058页

作者： SHI Jie chen ge Department of Pharmacy Municipal Hospital of QingdaoQingdao 266000China College of Information Science and Engineering Ocean University of ChinaQingdao 266100China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdao 266200China

In the traditional Chinese Medicine(TCM), the timing of performing the treatment during the year is always an important factor for maximizing its effectiveness. Based on over half a century of observational and reanalysis data, a modified calendric system, named the Twenty-four Medical Terms(24-MTs), has been established for China's Mainland following a systematic calibration and geographical adjustment of the classic Twenty-four Solar Terms(24-STs). In view of "adapting the human body to the changing universe", a core philosophy of the TCM, this improved medical calendar is expected to make a significant contribution to the development of precise Chinese Medicine in the big data era. Specifically, two maps of localized timings for the so-called Triple-Fu(TF) and Triple-Jiu(TF) defined using a joint heat index of air temperature and relative humidity are created as an alternative to the two nationwide unified timings representing the warmest and coldest periods of the year. These location-specific medical calendars, with a maximum regional time shift of one week for TJ and a systematic advancing of 3.6–28.2 days for TF in China's Mainland, are thought to be clinically useful for carrying out precise TCM such as"treating winter deceases in summer". In addition, similar maps of localized timings for peak spring and peak autumn defined as the days of fastest warming and cooling around the years are generated for China's Mainland, so as to provide a helpful guidance for practicing season(ST/MT) related and geographically dependent precise health care in the context of "born in spring, grow in summer, harvest in autumn, and preserve in winter", which is a key ideology in the TCM.

关键词： Solar terms Medical terms Traditional Chinese Medicine

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On the minimum number of neighbors needed for consensus of flocks

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Control Theory and Technology 2017年第4期15卷 327-339页

作者： chen chen ge chen Lei Guo 1. Noah’s Ark Laboratory 2012 Lab Huawei Technologies Co. Ltd Beijing 100085 China 2. LSC & NCMIS Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China

This paper investigates consensus of flocks consisting of n autonomous agents in the plane, where each agent has the same constant moving speed v and updates its heading by the average value of the kn nearest agents from it, with vn and kn being two prescribed parameters depending on n. Such a topological interaction rule is referred to as k,-nearest-neighbors rule, which has been validated for a class of birds by biologists and verified to be robust with respect to disturbances. A theoretical analysis will be presented for this flocking model under a random framework with large population, but without imposing any a priori connectivity assumptions. We will show that the minimum number of k~ needed for consensus is of the order O（log n） in a certain sense. To be precise, there exist two constants C1 〉 C2 〉 0 such that, if k 〉 C1 logn, then the flocking mode] will achieve consensus for any initial headings with high probability, provided that the speed vn is suitably small. On the other hand, if k 〈 Ca ]ogn, then for large n, with probability 1, there exist some initial headings such that consensus cannot be achieved, regardless of the value of Vn.

关键词： k-nearest-neighbor consensus topological interaction random geometric graph

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A global analysis of multi-mode sea surface temperature pattern

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Acta Oceanologica Sinica 2007年第1期26卷 12-22页

作者： ZHANG Caiyun chen ge Key Laboratory of Ocean Remote Sensing of Ministry of Education Ocean Remote Sensing Institute Ocean University of China Qingdao 266003 China

The variability of the air-sea system in the low-frequency time domain can be decomposed into several systematic climate modes, namely, the decadal variability （DV） mode, the El Nino Southem Oscillation （ENSO） mode, the annual cycle （AC） mode, the semiannual cycle （ SC ） mode and the intraseasonal variability （ ISV ） mode. The combination of these primary modes in the air - sea system orchestrates a complex climate system. The multi-mode low-frequency variability in SST is investigated based on 22 a SST records from 1982 through 2003. The variation of SST in the past two decades undergoes a different combination of these dominant climate modes over different regions, which leads to an interesting new classification of the global ocean based on the relative importance of these modes. The new classification can provide ideal locations for better monitoring of these low-frequency modes in the scientific proof sense. Moreover, two no-annual variation and 14 no-semiannual variation oceanic points, termed annual and semiannual amphidromes, have been well defined in the AC and SC phase maps. The formation of these nodal points is attributed to the couplings of climate modes in EOF analysis results.

关键词： multi-mode variability of SST new classification annual and semiannual amphidromes

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Big data compression processing and verification based on Hive for smart substation

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Journal of Modern Power Systems and Clean Energy 2015年第3期3卷 440-446页

作者： Zhijian QU ge chen School of Electrical&Electronic Engineering East China Jiaotong UniversityNanchang 330013China

The capacity and the scale of smart substation are expanding constantly,with the characteristics of information digitization and automation,leading to a quantitative trend of *** at the existing processing shortages in the big data processing,the query and analysis of smart substation,a data compression processing method is proposed for analyzing smart substation and *** results show that the compression ratio and query time of RCFile storage format are better than those of TextFile and *** query efficiency is improved for data compressed by Deflate,Gzip and Lzo compression *** results verify the correctness of adjacent speedup defined as the index of cluster *** also prove that the method has a significant theoretical and practical value for big data processing of smart substation.

关键词： Hive Smart substation Lossless compression

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Constraint Learning-based Optimal Power Dispatch for Active Distribution Networks with Extremely Imbalanced Data

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 51-65页

作者： Yonghua Song ge chen Hongcai Zhang State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering University of MacaoMacao 999078China School of Electrical and Computer Engineering Purdue UniversityWest LafayetteIN 47907 USA

Transition towards carbon-neutral power systems has necessitated optimization of power dispatch in active distribution networks(ADNs)to facilitate integration of distributed renewable *** to unavailability of network topology and line impedance in many distribution networks,physical model-based methods may not be applicable to their *** tackle this challenge,some studies have proposed constraint learning,which replicates physical models by training a neural network to evaluate feasibility of a decision(i.e.,whether a decision satisfies all critical constraints or not).To ensure accuracy of this trained neural network,training set should contain sufficient feasible and infeasible ***,since ADNs are mostly operated in a normal status,only very few historical samples are ***,the historical dataset is highly imbalanced,which poses a significant obstacle to neural network *** address this issue,we propose an enhanced constraint learning ***,it leverages constraint learning to train a neural network as surrogate of ADN's ***,it introduces Synthetic Minority Oversampling Technique to generate infeasible samples to mitigate imbalance of historical *** incorporating historical and synthetic samples into the training set,we can significantly improve accuracy of neural ***,we establish a trust region to constrain and thereafter enhance reliability of the *** confirm the benefits of the proposed method in achieving desirable optimality and feasibility while maintaining low computational complexity.

关键词： Deep learning demand response distribution networks imbalanced data optimal power flow

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