云南高校图书馆联盟文献共享服务平台- SWARM

SWARM: 作品数：615被引量：1599H指数：18; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：王正涛叶民强任韬张兵兵聂琳娟更多>>; 相关机构：武汉大学首都经济贸易大学中国科学院河北工业大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划国家社会科学基金更多>>

Ionospheric F-region currents estimated from Macao Science Satellite-1 and Swarm satellite magnetic data: 《Earth and Planetary Physics》2025年第3期731-739,共9页JuYuan Xu HongBo Yao Keke Zhang; supported by the National Natural Science Foundation of China (42250101);the Macao Foundation. The computation made use of the high-performance computing resources at the center of the MSS data processing and analysis。; Accurate modeling of Earth's ionospheric F-region currents is essential for refining geomagnetic field models and understanding magnetosphere-ionosphere coupling.In this study,we develop averaged models to characteriz...; 关键词：Macao Science Satellite-1 SWARM field-aligned currents GEOMAGNETISM ionosphere

Influence of different data selection criteria on internal geomagnetic field modeling: 《Earth and Planetary Physics》2025年第3期541-549,共9页HongBo Yao JuYuan Xu Yi Jiang Qing Yan Liang Yin and PengFei Liu; supported by the National Natural Science Foundation of China(42250101);the Macao Foundation。; Earth’s internal core and crustal magnetic fields,as measured by geomagnetic satellites like MSS-1(Macao Science Satellite-1)and Swarm,are vital for understanding core dynamics and tectonic evolution.To model these i...; 关键词：Macao Science Satellite-1 SWARM geomagnetic field modeling data selection core field crustal field

DeepSwarm:towards swarm deep learning with bi-directional optimization of data acquisition and processing: 《Frontiers of Computer Science》2025年第3期125-127,共3页Sicong LIU Bin GUO Ziqi WANG Lehao WANG Zimu ZHOU Xiaochen LI Zhiwen YU; supported by the National Science Fund for Distinguished Young Scholars(62025205);the National Natural Science Foundation of China(Grant Nos.62032020,62102317);CityU APRC Grant(9610633).; 1 Introduction On-device deep learning(DL)on mobile and embedded IoT devices drives various applications[1]like robotics image recognition[2]and drone swarm classification[3].Efficient local data processing preserves ...; 关键词：drone swarm classification efficient local data processing data processing deep learning dl device deep learning bi directional optimization iot devices swarm deep learning

MSCM:A geomagnetic model derived from Swarm,CSES,and MSS-1 satellite data and the evolution of the South Atlantic Anomaly: 《Earth and Planetary Physics》2025年第3期564-576,共13页Yu Gao ZhengTao Wang Philip W.Livermore Hannah F.Rogers Cong Liu; supported by the National Natural Science Foundation of China(Grant No.42274003);PWL was supported by Swarm DISC(Swarm Data,Innovation,and Science Cluster);funded by the European Space Agency(ESA;Contract No.4000109587);HFR acknowledges funding from the UK Natural Environment Research Council(Grant No.NE/V010867/1)。; Measurements from geomagnetic satellites continue to underpin advances in geomagnetic field models that describe Earth's internally generated magnetic field.Here,we present a new field model,MSCM,that integrates vecto...; 关键词：GEOMAGNETISM SWARM CSES MSS-1 geomagnetic field model

The magnetic stripe signatures of the North Atlantic Ocean crust derived from Swarm and Macao Science Satellite-1 observations: 《Earth and Planetary Physics》2025年第3期635-641,共7页PengFei Liu Liang Yin ShiDa Sun HongBo Yao; supported by the National Natural Science Foundation of China(42250101,42250102,42250103);the Macao Foundation,and the Science and Technology Development Fund,Macao SAR(File No.0002/2019/APD)。; The Earth's crust,the outer shell of the Earth,consists of continental crust and oceanic crust.Oceanic crust is created at the mid-oceanic ridge,where it is magnetized in the ambient field of the Earth.As new material...; 关键词：ocean magnetic stripes lithospheric magnetic structure Macao Science Satellite-1

Combining polar-orbiting and low-inclination satellites-Joint analysis of data from MSS-1 and Swarm: 《Earth and Planetary Physics》2025年第3期500-510,共11页Nils Olsen; been carried out as part of ESA’s Swarm DISC activities,funded by ESA contract no.4000109587.; This article investigates the combination of magnetic data from the MSS-1 and Swarm satellites for improved investigations of Earth’s magnetic field and Geospace.The study highlights the complementary nature of polar...; 关键词：MSS-1 satellite geomagnetic field modelling Swarm satellite constellation magnetic storms

南大西洋异常区的超低频波:基于FY-3E卫星的观测: 《中国科学:地球科学》2025年第3期970-980,共11页李莉宗秋刚周煦之刘鹰 Robert RANKIN 汪珊王永福于向前任杰解子康邹鸿叶雨光乐超; 国家自然科学基金项目(42204167、42174184、41974191);国家重点研发计划项目(2021YFA0718600);中国科学院网信专项项目(CASWX2022SF-0103)资助。; 2021年7月5日,中国成功发射了风云系列FY-3E卫星,该卫星配备了测量磁场和带电粒子的仪器.本研究报告了由FY-3E卫星在LEO轨道观测到的两个超低频(ULF)波事件,这些事件与磁层亚暴密切相关. FY-3E与Swarm卫星记录的ULF波显示出高度相似性,...; 关键词：超低频波南大西洋异常区 FY-3E卫星 Swarm卫星南北不对称性

Ultralow frequency waves in the South Atlantic anomaly:Application of FY-3E observations: 《Science China Earth Sciences》2025年第3期943-952,共10页Li LI Qiugang ZONG Xuzhi ZHOU Ying LIU Robert RANKIN Shan WANG Yongfu WANG Xiangqian YU Jie REN Zikang XIE Hong ZOU Yuguang YE Chao YUE; supported by the National Natural Science Foundation of China (Grant Nos. 42204167, 42174184 and 41974191);the National Key Research and Development Program of China (2021YFA0718600);the Informatization Plan of Chinese Academy of Sciences (Grant No. CAS-WX2022SF-0103);financial support from the Canadian Space Agency。; On 5 July 2021, the China FY-3E satellite was successfully launched, equipped with instruments to measure ultralow frequency waves(ULF) and charged particle populations deep within the magnetosphere. In this study, we...; 关键词：ULF waves SAA FY-3E SWARM north-south asymmetry

基于Swarm卫星数据与三维勒让德多项式的中国区域地磁场模型: 《测绘学报》2025年第3期461-472,共12页朱博李厚朴朱立波边少锋陈成; 国家自然科学基金(42122025,42430101,42104004)。; 区域地磁场模型可以描述地磁场的细节信息,在精准导航、目标探测等领域具有重要的应用价值。为了建立高精度中国区域地磁场模型,本文结合Swarm卫星数据,对三维勒让德多项式模型进行了研究,提出了基于奇异值分解的改进求解方法,提高了模...; 关键词：区域地磁场模型勒让德多项式奇异值分解 K折交叉验证 Swarm卫星 WMM2020

Swarm异构轨道卫星运动学绝对和相对定轨: 《北京航空航天大学学报》2025年第2期409-418,共10页金彪李申阳刘宁宁赵立谦; 国家自然科学基金(42304045)。; 精密位置信息是低轨卫星在轨任务成功实施的关键。载波相位模糊度的固定对GPS精密定位、定轨至关重要。利用观测值偏差产品对卫星端硬件偏差进行改正,采用星间单差消除接收机端偏差,实现单接收机模糊度固定。利用Swarm星载实测数据开展...; 关键词：Swarm星座模糊度固定运动学方法绝对定轨相对定轨

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