检索结果-内蒙古大学图书馆

Contributions to the Interannual Summer Rainfall Variability in the Mountainous Area of Central China and Their Decadal Changes

引用

Advances in Atmospheric sciences 2020年第3期37卷 259-268页

作者： Kaiming HU Yingxue LIU Gang HUANG Zhuoqi HE Shang-Min LONG Center for Monsoon System Research Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China State key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Joint Center for Global Change Studies(JCGCS) Beijing 100875China University of Chinese Academy of Sciences Beijing 100049China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China College of Oceanography Hohai UniversityNanjing 210098China

Using a high-resolution precipitation dataset,the present study detected that the mountainous area of central China(MACA)is a hotspot of ENSO’s impact on the summer rainfall *** analysis suggests that both ENSO and atmospheric forcing make contributions to the summer rainfall variability in *** dominant rainfall-related SST mode features as a seasonal transition from an El Niño-like warming in the preceding winter to a La Nina-like cooling in the following autumn,and it explains about 29%of the total variance of the rainfall during 1951–*** indicates that ENSO with a rapid phase transition is responsible for inducing summer rainfall anomalies in ***,an upperlevel circumglobal wave mode in the Northern Hemisphere during summer also explains about 29%of the summer rainfall *** of both the SST and the atmospheric modes have experienced interdecadal *** influence of the SST mode gradually increases and plays a dominant role in the recent decades,suggesting that ENSO with a rapid phase transition becomes more important for rainfall prediction in MACA.

关键词： summer rainfall ENSO atmospheric internal variability interdecadal change

来源：评论

学校读者我要写书评

暂无评论

Calculation on External Heat Flux of a Space Camera

Calculation on External Heat Flux of a Space Camera

引用

第七届计算与信息科学国际学术会议

作者： Lian Xue Jiaqi Liu Lu Gao Zhiqi Liu Luping Zhang China National Key Laboratory of Science and Technology on Test Physics ＆Numerical Mathematics

In order to obtain accurate external heat flux data,the space system thermal simulation module in NX is used to solve the thermal analysis design problem on a camera in space flight *** effects of different time,different seasons and different orbital altitude on the external heat flux of spacecraft surface are *** calculation results show that for different seasons and different orbital altitudes,the variation laws of external heat flux on the same surface are basically the same,and there are only differences in *** differences are small,within 10 %;For the camera launched at different times of the day,the law of external heat flux changes is completely different,and difference in value is also very *** heat flux in the area exposed to the sun is 6.38 times that of the heat flux in the shadow *** results can be used to guide thermal design and calculate the temperature distribution of the *** the other hand,they provide reference for the design of other types of spacecraft with similar orbits.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Information Oriented Architecture of M&S Ecosystem

Information Oriented Architecture of M&S Ecosystem

引用

第三十八届中国控制会议

作者： Zheng ZHAO Chao ZHANG Jiaqi LIU LIUXin National Key Laboratory of Science&Technology on Test physics and Numerical mathematics

The paper conceives a new perspective of Architecture to build a ULS-liked M&S system. Under this perspective, Architecture of M&S ecosystems is developed under the "bottom-up" design pattern. To build the M&S ecosystem, we suggest a new concept of simulation resource name space such that all the simulation resource can be managed for the aim of sharing the resource by all simulation customer in the ecosystem. Also, the workflow of process of M&S ecosystems creating is provided.

关键词： Data Driven M&S simulation ecosystem

来源：评论

学校读者我要写书评

暂无评论

Localized Heating and Dynamics of the Solar Corona due to a Symbiosis of Waves and Reconnection

arXiv

引用

arXiv 2025年

作者： Srivastava, A.K. Mondal, Sripan Priest, Eric R. Mishra, Sudheer K. Pontin, David I. Kwon, R.Y. Yuan, Ding Murawski, K. Asai, Ayumi Varanasi221005 India Mathematics Institute St Andrews University St AndrewsKY16 9SS United Kingdom Astronomical Observatory Kyoto University Sakyo Kyoto606-8502 Japan School of Information and Physical Sciences University of Newcastle Australia Korea Astronomy and Space Science Institute Daejeon34055 Korea Republic of Shenzhen Key Laboratory of Numerical Prediction for Space Storm Institute of Space Science and Applied Technology Harbin Institute of Technology Guangdong Shenzhen China Institute of Physics University of Maria Curie-Sklodowska Pl. M. Curie-Sklodowskiej 5 Lublin20-031 Poland

The Sun’s outer atmosphere, the corona, is maintained at mega-Kelvin temperatures and fills the heliosphere with a supersonic outflowing wind. The dissipation of magnetic waves and direct electric currents are likely to be the most significant processes for heating the corona, but a lively debate exists on their relative roles. Here, we suggest that the two are often intrinsically linked, since magnetic waves may trigger current dissipation, and impulsive reconnection can launch magnetic waves. We present a study of the first of these processes by using a 2D physics-based numerical simulation using the Adaptive Mesh Refined (AMR) Versatile Advection Code (VAC). Magnetic waves such as fast magnetoacoustic waves are often observed to propagate in the large-scale corona and interact with local magnetic structures. The present numerical simulations show how the propagation of magnetic disturbances towards a null point or separator can lead to the accumulation of the electric currents. Lorentz forces can laterally push and vertically stretch the magnetic fields, forming a current sheet with a strong magnetic-field gradient. The magnetic field lines then break and reconnect, and so contribute towards coronal heating. numerical results are presented that support these ideas and support the concept of a symbiosis between waves and reconnection in heating the solar corona. Copyright © 2025, The Authors. All rights reserved.

关键词： Lorentz force

来源：评论

学校读者我要写书评

暂无评论

Record High Temperatures in the Ocean in 2024

引用

Advances in Atmospheric sciences 2025年第6期 1092-1109页

作者： Lijing CHENG John ABRAHAM Kevin E.TRENBERTH James REAGAN Huai-Min ZHANG Andrea STORTO Karina VON SCHUCKMANN Yuying PAN Yujing ZHU Michael E.MANN Jiang ZHU Fan WANG Fujiang YU Ricardo LOCARNINI John FASULLO Boyin HUANG Garrett GRAHAM Xungang YIN Viktor GOURETSKI Fei ZHENG Yuanlong LI Bin ZHANG Liying WAN Xingrong CHEN Dakui WANG Licheng FENG Xiangzhou SONG Yulong LIU Franco RESEGHETTI Simona SIMONCELLI Gengxin CHEN Rongwang ZHANG Alexey MISHONOV Zhetao TAN Wangxu WEI Huifeng YUAN Guancheng LI Qiuping REN Lijuan CAO Yayang LU Juan DU Kewei LYU Albertus SULAIMAN Michael MAYER Huizan WANG Zhanhong MA Senliang BAO Henqian YAN Zenghong LIU Chunxue YANG Xu LIU Zeke HAUSFATHER Tanguy SZEKELY Flora GUES National Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric PhysicsChinese Academy of Sciences University of St. Thomas School of Engineering NSF National Center for Atmospheric Research University of Auckland National Oceanic and Atmospheric Administration National Centers for Environmental Information National Research Council (CNR) Institute of Marine Sciences (ISMAR) Mercator Ocean International Department of Earth and Environmental Science University of Pennsylvania Institute of Oceanology Chinese Academy of Sciences National Marine Environmental Forecasting Center Ministry of Natural Resources of China North Carolina Institute for Climate Studies (NCICS) North Carolina State University Oceanographic Data Center Chinese Academy of Sciences College of Oceanography Hohai University National Marine Data and Information Service Istituto Nazionale di Geofisica eVulcanologia Sede di Bologna South China Sea Institute of Oceanology Chinese Academy of Sciences ESSIC/CISESS-MD University of Maryland Computer Network Information Center Chinese Academy of Sciences Eco-Environmental Monitoring and Research Center Pearl River Valley and South China Sea Ecology and Environment Administration Ministry of Ecology and Environment National Meteorological Information Center China Meteorological Administration International Research Center of Big Data for Sustainable Development Goals Xiamen University Research Center for Climate and Atmosphere National Research and Innovation Agency (BRIN) Research Department European Centre for Medium-Range Weather Forecasts Department of Meteorology and Geophysics University of Vienna College of Meteorology and Oceanography National University of Defense Technology State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural Resources Stripe Inc. South San Francisco Ocean Scope CELAD

Heating in the ocean has continued in 2024 in response to increased greenhouse gas concentrations in the atmosphere,despite the transition from an El Ni?o to neutral conditions. In 2024, both global sea surface temperature(SST) and upper2000 m ocean heat content(OHC) reached unprecedented highs in the historical record. The 0–2000 m OHC in 2024exceeded that of 2023 by 16 ± 8 ZJ(1 Zetta Joules = 1021 Joules, with a 95% confidence interval)(IAP/CAS data), which is confirmed by two other data products: 18 ± 7 ZJ(CIGAR-RT reanalysis data) and 40 ± 31 ZJ(Copernicus Marine data,updated to November 2024). The Indian Ocean, tropical Atlantic, Mediterranean Sea, North Atlantic, North Pacific, and Southern Ocean also experienced record-high OHC values in 2024. The global SST continued its record-high values from2023 into the first half of 2024, and declined slightly in the second half of 2024, resulting in an annual mean of 0.61°C ±0.02°C(IAP/CAS data) above the 1981–2010 baseline, slightly higher than the 2023 annual-mean value(by 0.07°C ±0.02°C for IAP/CAS, 0.05°C ± 0.02°C for NOAA/NCEI, and 0.06°C ± 0.11°C for Copernicus Marine). The record-high values of 2024 SST and OHC continue to indicate unabated trends of global heating.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A New End-to-end Modulation Recognition Algorithm Based on Deep Learning

A New End-to-end Modulation Recognition Algorithm Based on D...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Jingpeng Gao Fu Wang Lu Gao Xu Wang School of information and Communication Engineering Harbin Engineering University Harbin China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Institute of Space Long March Vehicle Beijing China

ISBN: (数字)9781728144801

ISBN: (纸本)9781728144818

To solve the problem of difficult modulation recognition of emitter signals at low signal-to-noise and low recognition rate caused by improper feature extraction, a new end-to-end modulation recognition algorithm based on deep learning is proposed. The algorithm can effectively recognize LFM, Costas, Frank code, and P1-P4 code. Firstly, an end-to-end modulation recognition network based on bi-directional long-short term memory is proposed to extract the time features of emitter signals for recognition. Then, to extract the space features of emitter signals, it explores a one-dimensional convolutional neural network structure. Finally, one-dimensional convolutional neural network and bi-directional long-short term memory are combined with pre-training and fine-tuning to accelerate the convergence speed and improve the recognition rate. The simulation results show that the recognition rate of the algorithm can reach 75.23% at the -6dB signal-to-noise ratio. It can also be used for modulation recognition in the mechanical field.

关键词： Feature extraction Modulation Training Signal to noise ratio Convolution Speech recognition Frequency modulation

来源：评论

学校读者我要写书评

暂无评论

A method for feature extraction based on SVD and machine learning 2

A method for feature extraction based on SVD and machine lea...

引用

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation, AMIMA 2019

作者： Mao, Wei Huang, Shuxian Liu, Xin Liu, Hongyan Liu, Jiaqi Shu, Yi National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics 100076 China Beijing Institute of Precision Mechatronics and Controls 100076 China Beijing Institute of Long March Vehicle 100076 China

By studying the shortcomings of feature, which extracted from Radar-Cross Section(RCS),using mathematical and statistical method, using the idea of extracting abstract features in image recognition and speech recognition by artificial intelligence for reference[2][3]. This paper explores the possibility of extracting abstract features of target's RCS sequence, and proposes an abstract feature extraction method of RCS sequence based on singular value decomposition(SVD) feature decomposition. Because of the poor interpretability of abstract features, four different machine learning algorithms are used to classify the extracted Abstract features. The experimental results show that the machine learning algorithm can classify different types of spatial objects with high accuracy, which shows that the RCS features of different spatial objects can be characterized by abstract features. © Published under licence by IOP Publishing Ltd.

关键词： Radar cross section

来源：评论

学校读者我要写书评

暂无评论

Experimental test of High-Dimensional Quantum Contextuality Based on Contextuality Concentration

引用

Physical Review Letters 2023年第24期130卷 240202-240202页

作者： Zheng-Hao Liu Hui-Xian Meng Zhen-Peng Xu Jie Zhou Jing-Ling Chen Jin-Shi Xu Chuan-Feng Li Guang-Can Guo Adán Cabello CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei 230026 People’s Republic of China CAS Centre For Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei 230026 People’s Republic of China School of Mathematics and Physics North China Electric Power University Beijing 102206 People’s Republic of China Theoretical Physics Division Chern Institute of Mathematics Nankai University Tianjin 300071 People’s Republic of China School of Physics and Optoelectronics Engineering Anhui University 230601 Hefei People’s Republic of China Naturwissenschaftlich-Technische Fakultät Universität Siegen Walter-Flex-Straße 3 57068 Siegen Germany Centre for Quantum Technologies National University of Singapore 117543 Singapore Hefei National Laboratory University of Science and Technology of China Hefei 230088 People’s Republic of China Departamento de Física Aplicada II Universidad de Sevilla E-41012 Sevilla Spain Instituto Carlos I de Física Teórica y Computacional Universidad de Sevilla E-41012 Sevilla Spain

Contextuality is a distinctive feature of quantum theory and a fundamental resource for quantum computation. However, existing examples of contextuality in high-dimensional systems lack the necessary robustness required in experiments. Here, we address this problem by identifying a family of noncontextuality inequalities whose maximum quantum violation grows with the dimension of the system. At first glance, this contextuality is the single-system version of multipartite Bell nonlocality taken to an extreme form. What is interesting is that the single-system version achieves the same degree of contextuality but uses a Hilbert space of lower dimension. That is, contextuality “concentrates” as the degree of contextuality per dimension increases. We show the practicality of this result by presenting an experimental test of contextuality in a seven-dimensional system. By simulating sequences of quantum ideal measurements with destructive measurements and repreparation in an all-optical setup, we report a violation of 68.7 standard deviations of the simplest case of the noncontextuality inequalities identified. Our results advance the investigation of high-dimensional contextuality, its connection to the Clifford algebra, and its role in quantum computation.

关键词： Nonlocality Optical tests of quantum theory Quantum computation Quantum correlations in quantum information Quantum foundations Quantum measurements Group theory

来源：评论

学校读者我要写书评

暂无评论

Study on Polarization em Wave's Transmission Characteristics in Chaff Cloud Based on Oguchi Method 5

Study on Polarization em Wave's Transmission Characteristics...

引用

5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019

作者： Yang, Kunlong Li, Jianbing Liu, Xin College of Electronic Science National University of Defense Technology Changsha China National Key Laboratory of Science and Technology on Test Physics Numerical Mathematical Beijing Institute of Space Long March Vehicle Beijing China

ISBN: (纸本)9781538671115

The Oguchi method is an important tool for characterizing the transmission characteristics of polarized electromagnetic waves in precipitation. In this paper, the forward scattering matrix of chaff is calculated for the special random medium of chaff cloud. Then the transmission characteristics of polarized electromagnetic wave, including attenuation, (specific) differential phase, are studied by using Oguchi method. The obtained characteristics are consistent with the physical laws, and the feasibility of the Oguchi method in chaff characteristic analysis is preliminarily verified. © 2019 IEEE.

关键词： Forward scattering

来源：评论

学校读者我要写书评

暂无评论

Critical climate issues toward carbon neutrality targets

引用

Fundamental Research 2022年第3期2卷 396-400页

作者： Gang Huang Zhenhao Xu Xia Qu Junji Cao Shangmin Long Kai Yang Hongyu Hou Ya Wang Xiaofan Ma State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Laboratory for Regional Oceanography and NumericalModeling Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China International Polar Environment Research Laboratory College of OceanographyHohai UniversityNanjing 210098China

In 2020,China announced the"emission peak,carbon neutrality"policy,that is,China aims to have CO2 emissions peak before 2030 and achieve carbon neutrality before *** scenario of carbon neutrality will be significantly distinguished from the scenario we experienced since the industrial ***,instrumental data are unavailable in the future carbon-neutral *** system models and climate dynamics theory are needed to comprehend and project the climate *** this paper,we illustrate our perspective of the issues related to"emission peak,carbon neutrality",including climate dynamics,climate-carbon feedback,interaction between China and global climate and carbon emissions and solutions,*** highlight that climate change has profoundly affected human production and *** frequent occurrence of extreme weather disasters in recent years,together with the impact of epidemics,make the future"carbon peak&carbon-neutral"scenario more *** is whopping uncertainty but also a massive challenge to the scientific ***,carbon neutrality is closely related to domestic production and lives,and there is little time left for *** believe that we will make a breakthrough in climate dynamics in the context of carbon neutrality with our joint efforts,which will serve our country’s carbon emission policy at different stages.

关键词： Carbon neutrality Climate dynamics Climate-carbon feedback Diplomacy Possible solutions Future prospect

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：