气候变化领域集成服务门户(CCPortal): Array processing techniques for analyzing global geophysical observation networks: Comprehensive analysis and typical applications

CCPortal

DOI	10.1016/j.earscirev.2021.103807
	Array processing techniques for analyzing global geophysical observation networks: Comprehensive analysis and typical applications
	Ding H.; Xu X.; Pan Y.; Li M.
发表日期	2021
ISSN	0012-8261
卷号	221
英文摘要	Global geophysical networks provide powerful databases to infer globally coherent signals, and array processing techniques are useful for inferring them. In this study, we comprehensively analyze seven spherical harmonic-based array processing techniques: spherical harmonic stacking (SHS) as well as its gridded form (SHS_GT) and grid-interval weighted forms (SHS_GK1, SHS_GK2); matrix SHS (MSHS); multi-station experiment (MSE); and optimal sequence estimation (OSE). We first use more specific synthetic tests to evaluate the pros and cons of these techniques, and estimate bias in solutions caused by the station distributions. These methods are applied to four global observation networks, the Global Geodynamics Project (GGP) Network, the Global Seismographic Network (GSN), the Global Geomagnetic (GGM) Network and the Global GNSS Network. For the first time, we restored a much cleaner sequence for one singlet of the 0S2 mode based on the GGP network, and restored similar result for one singlet of the 3S1 mode based on the GSN network. We further isolate different Ylm-related tidal signals from the GGM network for the first time. Moreover, based on global GNSS observations, we estimate the Love number h21 = 0.6243(±7e−4) − 0.01(±6e−3)i at the Chandler Wobble (CW) frequency with OSE/MSHS (The accuracy of the estimate is an order of magnitude higher than the previous results), and further obtain the corresponding lower-mantle anelasticity (fr(ω) = −29.5 ± 0.9, fi(ω) = 12.0 ± 7.2). Our findings confirm that OSE and MSHS methods can more accurately obtain the complex amplitude of any Ylm-related signal, which is not possible with other methods (and we do obtain more precise results than previous studies upon using them); besides, we also confirm that OSE and MSHS methods can greatly reduce the interference of other signals to the target signals. Hence, we believe the results obtained from the OSE/MSHS will helpful for obtaining reasonable geophysical explanations. © 2021
英文关键词	Array processing techniques; Common signals; Geophysical observations; Network effect
语种	英语
来源期刊	EARTH-SCIENCE REVIEWS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/209190
作者单位	Department of Geophysics, School of Geodesy and Geomatics, Wuhan University, Wuhan, 430079, China; Key Laboratory of Geospace Environment and Geodesy of the Ministry of Education, Wuhan University, Wuhan, 430079, China
推荐引用方式 GB/T 7714	Ding H.,Xu X.,Pan Y.,et al. Array processing techniques for analyzing global geophysical observation networks: Comprehensive analysis and typical applications[J],2021,221.
APA	Ding H.,Xu X.,Pan Y.,&Li M..(2021).Array processing techniques for analyzing global geophysical observation networks: Comprehensive analysis and typical applications.EARTH-SCIENCE REVIEWS,221.
MLA	Ding H.,et al."Array processing techniques for analyzing global geophysical observation networks: Comprehensive analysis and typical applications".EARTH-SCIENCE REVIEWS 221(2021).