10 research outputs found

    Automated Eddy Detection Using Geometric Approach,Eddy Datasets and Their Application

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    近10a来,海洋涡旋的自动探测和分析研究成为物理海洋学研究的前沿热点之一。本研究介绍了作者及其合作者最近几年发展的一系列基于海表面高度异常(Sea Surface Height Anomaly,SSHA)、海表温度(Sea Surface Temperature,SST)的欧拉型以及基于全球漂流浮标数据的拉格朗日型的涡旋自动探测几何方法、从欧拉型涡旋探测方法中发展出来的三维涡旋的自动探测方法和利用上述方法探测得到的结果建立的涡旋数据库。此外,本研究还介绍了涡旋数据库的应用,主要包括:分析黑潮延续体以及南加州湾的涡旋统计特征;以黑潮延伸区冷、暖两个中尺度涡旋为例,采用动态合成、带通滤波等方法,研究中纬度地区中尺度海洋涡旋对大气的强迫特征;在黑潮延续体采用合成分析方法得到了合成气旋和反气旋的三维结构并对涡旋调制下混合层深度进行探究;对涡旋诱导的输运、涡旋诱导的叶绿素变化进行的研究以及对阿拉伯海大涡进行的研究等。Last decade has witnessed quick development in the oceanic eddy detection and analysis,which has become one of the hot topics in the oceanography community.This paper presents a series of Eular automated eddy detection methods based on SSHA(sea surface height anomaly)and SST(sea surface temperature),and a series of Lagrangian automated eddy detection methods based on global drifter data.The three-dimensional automated eddy detection method is based on the Eular methods.The methods are developed by the authors and their collaborators during the recent years and they build an eddy datasets based on the results from the automated eddy detection methods mentioned above.The application of the datasets are also discussed:the study of eddy statistical analysis in the Kuroshio extension area and South California Bay;the study of atmospheric responses to oceanic eddies in mid-latitude by dynamic synthesis and band-pass filtering in the case of two warm and cold mesoscale eddies in the Kuroshio extension area;the study of eddy-modulated surface mixed layer by analyzing the three-dimensional structure of synthetic cyclonic eddy and anticyclonic eddy in the Kuroshio extension area which are given by synthetic analysis method;the studies of eddy-induced transports,effects of eddies on chlorophyll concentrations and the large eddy in the Arabian Sea.国家自然科学基金项目——海洋中尺度涡旋的拉格朗日输运(41476022)和中纬度大气不同尺度变异过程对副热带环流的影响(41490643); 全球变化与海气相互作用专项——海洋动力系统和多运动形态相互作用(GASI-03-IPOVAI-05); 南京信息工程大学人才启动项目——发展长时间序列的中国海全动力中尺度数值产品(2013r121)和发展“NUIST区域海洋多模式集成耦合系统”及其应用“江苏沿海海洋多参数观测预报系统”(2014r072); 江苏省双创团队——江苏沿岸海洋环境对人为与自然变化的多尺度响应; 国家重点研发计划“全球变化及应对”重点专项——全球变暖“停滞”现象辨识与机理研究(2016YFA0601803

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in pνˉK+p\to \bar\nu K^+ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+p\to \bar\nu K^+ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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    JUNO sensitivity on proton decay p → ν K + searches*

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the pνˉK+ p\to \bar{\nu} K^+ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 9.6 \times 10^{33} years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies
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