Abstract
Abstract
We propose a new parametric approach to electromagnetic transfer function (EMTF) estimation which has attributes not found in the nonparametric approach most extensively used by the magentotelluric (MT) community. Firstly, parametric EMTFs are smooth by construction, which is consistent with the underlying physics. Secondly, fewer parameters are generally required to represent an EMTF by parametric means. Thirdly, our parametric approach can simplify data quality control and editing of time series because of the direct operation in the time domain. Our approach is based on the mature discipline of system identification which is concerned with parametric transfer function determination given system input and output. In this study, MT data from one USArray site are analyzed, showing a statistical advantage in reproducing measured geoelectric field time series using a parametric model EMTF versus the standard EMTF approach.
Reference23 articles.
1. Magnetotelluric response function estimation based on Hilbert-Huang transform;Cai;Pure and Applied Geophysics,2013
2. Robust magnetotelluric inversion;Matsuno;Geophysical Journal International,2014
3. Synthesis of natural electric and magnetic time series using inter-station transfer functions and time-series from neighboring site (STIN): Applications for processing MT data;Wang;Journal of Geophysical Research: Space Physics,2017
4. Estimation of the magnetotelluric response function: The path from robust estimation to a stable maximum likelihood estimator;Chave;Surveys in Geophysics,2017
5. Robust estimation of geomagnetric transfer functions Geophysical;Egbert;Journal of the Royal Astronomical Society,1986
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献