地球与行星物理论评（中英文）2024，Vol.55Issue(6)：719-732,14.DOI:10.19975/j.dqyxx.2024-004
正则化对地球主磁场建模的影响
The influence of regularization on the geomagnetic core field modeling
摘要
Abstract
Earth's magnetic field is generated through the dynamo action in the liquid outer core.Using obser-vational data from geomagnetic satellites and observatories,we can construct geomagnetic models that describe spatial and temporal variations of the core field.Due to the limited temporal and spatial resolution of observations and incomplete parameterization of the model,the inversion problem of geomagnetic field modeling is non-unique.Therefore,we need to incorporate regularization constraints based on prior information to alleviate the non-unique-ness of the inversion problem for geomagnetic modeling.For the core field,the non-uniqueness of modeling inver-sion manifests in the temporal variations of the field.Studies on the influence of regularization can help us build more reliable core field models,especially on how to suppress artificial secular variations through regularizations.In this study,we construct a series of models based on different regularization parameters within the framework of CHAOS modeling to explore the impact of regularization on the core field modeling.Our results indicate that it is necessary to use regularization constraints for the core field modeling based solely on satellite data.By comparing models with different regularization intensities of the third time derivative of the core field,we show that regulariz-ation of the third time derivative with appropriate intensity can effectively suppress artificial signals caused by overfitting of the model to observational data.However,too strong regularizations will reduce the temporal resolu-tion of small-scale secular variations.关键词
地磁场建模/长期变化/正则化Key words
geomagnetic field modelling/secular variation/regularization分类
地球科学引用本文复制引用
许钜源,林玉峰,张可可..正则化对地球主磁场建模的影响[J].地球与行星物理论评（中英文）,2024,55(6):719-732,14.基金项目
国家自然科学基金资助项目(12250012,42250101) （12250012,42250101）
广东省"珠江人才计划"(2019QN01X189)Supported by the National Natural Science Foundation of China(Grant Nos.12250012,42250101),and the Pearl River Talent Recruitment Program(Grant No.2019QN01X189) （2019QN01X189）
