Magnetotelluric (MT) sounding is a pivotal geophysical technique employed to image the Earth's subsurface electrical structure. The establishment of extensive MT arrays, such as EarthScope, SinoProbe, and AusLamp, has highlighted the necessity for advancements in data processing and modeling techniques. Recent developments in three-dimensional inversion algorithms and the availability of open-source software have significantly contributed to the field, resulting in a wealth of continent-scale imaging results published over the past few decades. These studies have provided robust evidence that enhances our understanding of geodynamic processes and offers novel insights into tectonic evolution and mineral resource distribution. Despite these advancements, there remains a need for further research to address existing gaps, particularly in handling noise contamination and integrating supplementary geophysical constraints.
This research topic aims to showcase the latest advancements in MT methodologies and their imaging results. We seek to feature innovative approaches to MT data processing, especially those adept at managing scenarios with strong noise contamination. Manuscripts introducing novel techniques, such as machine learning-based rapid forward modeling algorithms, GPU-accelerated computations, and other pioneering technologies, are particularly welcome. Additionally, we encourage submissions that explore MT inversion integrating supplementary constraints from disparate geophysical datasets, along with joint inversion studies that merge MT data with other geophysical data. Through this compilation, our goal is to foster a comprehensive understanding of Earth processes and resources, equipping the geophysical community with the latest tools and insights for future explorations and studies.
To gather further insights into the advancements in MT imaging, we welcome articles addressing, but not limited to, the following themes:
• MT imaging results and their geodynamic implications;
• Advances in MT data processing methods;
• MT forward modeling algorithms;
• MT inversion methods;
• MT response of anisotropic media;
• Joint inversion methods and case studies involving MT and other geophysical data;
• Mineral exploration case studies using MT data;
• Other state-of-the-art research regarding MT sounding.
Magnetotelluric (MT) sounding is a pivotal geophysical technique employed to image the Earth's subsurface electrical structure. The establishment of extensive MT arrays, such as EarthScope, SinoProbe, and AusLamp, has highlighted the necessity for advancements in data processing and modeling techniques. Recent developments in three-dimensional inversion algorithms and the availability of open-source software have significantly contributed to the field, resulting in a wealth of continent-scale imaging results published over the past few decades. These studies have provided robust evidence that enhances our understanding of geodynamic processes and offers novel insights into tectonic evolution and mineral resource distribution. Despite these advancements, there remains a need for further research to address existing gaps, particularly in handling noise contamination and integrating supplementary geophysical constraints.
This research topic aims to showcase the latest advancements in MT methodologies and their imaging results. We seek to feature innovative approaches to MT data processing, especially those adept at managing scenarios with strong noise contamination. Manuscripts introducing novel techniques, such as machine learning-based rapid forward modeling algorithms, GPU-accelerated computations, and other pioneering technologies, are particularly welcome. Additionally, we encourage submissions that explore MT inversion integrating supplementary constraints from disparate geophysical datasets, along with joint inversion studies that merge MT data with other geophysical data. Through this compilation, our goal is to foster a comprehensive understanding of Earth processes and resources, equipping the geophysical community with the latest tools and insights for future explorations and studies.
To gather further insights into the advancements in MT imaging, we welcome articles addressing, but not limited to, the following themes:
• MT imaging results and their geodynamic implications;
• Advances in MT data processing methods;
• MT forward modeling algorithms;
• MT inversion methods;
• MT response of anisotropic media;
• Joint inversion methods and case studies involving MT and other geophysical data;
• Mineral exploration case studies using MT data;
• Other state-of-the-art research regarding MT sounding.