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基于Gauss-Markov卡尔曼滤波的电离层数值同化现报预报系统的构建--以中国及周边地区为例的观测系统模拟试验 被引量:16
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作者 乐新安 万卫星 +4 位作者 刘立波 宁百齐 赵必强 李国主 熊波 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2010年第4期787-795,共9页
本文给出了一个基于Gauss-Markov卡尔曼滤波的电离层数据同化系统的初步构建和试验结果.我们选择中国及周边地区部分涉及电离层观测的台站(包括子午工程台站、中国地壳形变网和部分IGS台站)作为观测系统进行模拟试验,背景场利用IRI模式... 本文给出了一个基于Gauss-Markov卡尔曼滤波的电离层数据同化系统的初步构建和试验结果.我们选择中国及周边地区部分涉及电离层观测的台站(包括子午工程台站、中国地壳形变网和部分IGS台站)作为观测系统进行模拟试验,背景场利用IRI模式,观测值则由NeQuick模式计算得到.我们的同化结果表明,采用Kalman滤波算法,把部分斜TEC同化到背景模式当中,能够获得较好的同化结果,说明我们设计的算法可行、所选择的各种参数比较合理,采用Gauss-Markov假设进行短期预报也取得了较合理的结果.本项研究经过进一步的改进和完善,可以用来对中国地区的电离层进行现报和短期预报,一方面满足相关空间工程应用,另一方面可以提升现有观测系统的科学意义. 展开更多
关键词 电离层 数据同化 卡尔曼滤波 误差协方差
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Geomagnetic jerk extraction based on the covariance matrix 被引量:3
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作者 Feng Yan Jiang Yun-Shan +3 位作者 Gu Jia-Lin Xu Fan Jiang Yi Liu Shuang 《Applied Geophysics》 SCIE CSCD 2019年第2期153-159,252,共8页
We normalize data from 43 Chinese observatories and select data from ten Chinese observatories with most continuous records to assess the secular variations(SVs)and geomagnetic jerks by calculating the deviations betw... We normalize data from 43 Chinese observatories and select data from ten Chinese observatories with most continuous records to assess the secular variations(SVs)and geomagnetic jerks by calculating the deviations between annual observed and CHAOS-6 model monthly means.The variations in the north,east,and vertical eigendirections are studied by using the covariance matrix of the residuals,and we find that the vertical direction is strongly affected by magnetospheric ring currents.To obtain noise-free data,we rely on the covariance matrix of the residuals to remove the noise contributions from the largest eigenvalue or vectors owing to ring currents.Finally,we compare the data from the ten Chinese observatories to seven European observatories.Clearly,the covariance matrix method can simulate the SVs of Dst,the jerk of the northward component in 2014 and that of the eastward component in 2003.5 in China are highly agree with that of Vertically downward component in Europe,compare to CHAOS-6,covariance matrix method can show more details of SVs. 展开更多
关键词 Geomagnetic field secular variation covariance matrix JERK CHAOS-6
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Regional spatiotemporal variations of a nondipole magnetic field over the Chinese mainland and neighboring regions in millennial scale 被引量:1
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作者 Feng Yan Jiang Yong 《Applied Geophysics》 SCIE CSCD 2017年第2期314-321,324,共9页
Spatiotemporal variations of the nondipole (ND) magnetic field over the Chinese mainland and neighboring regions from 10000 BC to 1990 AD were analyzed using the latest global geomagnetic models CALS10K.1b, CALS3K.4... Spatiotemporal variations of the nondipole (ND) magnetic field over the Chinese mainland and neighboring regions from 10000 BC to 1990 AD were analyzed using the latest global geomagnetic models CALS10K.1b, CALS3K.4, and IGRF 11. Moreover, for field sources, we investigated 2 n (n = 2 -10) pole ND fields and their energies. The results suggest that the study period can be divided into three. The intensity of the ND field has been mainly positive since 10000 BC and lasted almost 7500 years, then gradually decreased to negative in 2500 BC to 1500 AD, and finally sharply increased to positive. The anomaly areas of the ND field in East Asia took shape for n - 3, when the anomaly areas in East Asia were shaped into closed circles in the mainland. This suggests that the first three harmonic degrees account for most of the ND field. The energy of the ND field rapidly attenuates at the core mantle boundary and is stable at the surface. 展开更多
关键词 geomagnetic field nondipole CALS 10K. 1 b IGRF 11
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Fitting of magnetic measurements of Swarm satellites based on 3D surface spline model
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作者 Liu Shuang Feng Yan +2 位作者 Jiang Yi Li Yi-Jun Zhang Jin-Yuan 《Applied Geophysics》 SCIE CSCD 2021年第4期473-482,592,593,共12页
This study utilizes the 62208000 Swarm satellite data to establish a high-precision main magnetic field at the height of the satellites in China and its adjacent regions.The CHAOS-6 model is used to remove the crustal... This study utilizes the 62208000 Swarm satellite data to establish a high-precision main magnetic field at the height of the satellites in China and its adjacent regions.The CHAOS-6 model is used to remove the crustal and external fields and obtain 2788 main field grid data.We use the main field grid data to build a three-dimensional(3D)surface spline(3DSS)model of the satellite altitude in China.Other regional models(namely the 3D,two-dimensional(2D)Taylor,and 2D surface spline models)and the CHAOS-6 model are employed to model and analyze the same region.The results show that the 3DSS model can represent a good fi tting for the northward(X)and eastward(Y)components and the total intensity(F).This model demonstrates the most stable results for the 20 points that did not take part in the modeling.Compared with the other three regional models,the root–mean–square error values and the average residuals of the new model are approximately 65%and 69%lower for each component,respectively.This study does not rely on ground station data to derive a more accurate regional main fi eld model.The results further show that less data height difference and high-density data distributions greatly improve the regional model accuracy.The new model has a certain application value to related space geophysics,such as in spatial positioning and navigation,and to the study of regional magnetic anomalies. 展开更多
关键词 Geomagnetic fi eld 3DSS CHAOS-6 Swarm satellite.
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