About this Research Topic
Magnetotelluric (MT) sounding is a crucial geophysical method used for imaging the Earth's subsurface electrical structure. The establishment of several continent-scale MT arrays, such as EarthScope, SinoProbe, and AusLamp, has underscored the need for advancements in data processing and modeling techniques. Benefiting from rapid developments in three-dimensional inversion algorithms and the release of open-source softwares, a substantial volume of continent-scale imaging results has been published in the last few decades. These contributions have offered new, solid evidence that enhances our understanding of geodynamic processes. They also foster a range of novel insights into how the electrical structure can reveal aspects of tectonic evolution and the distribution of mineral resources. Given these developments, we advocate for a research topic dedicated to the latest advances in MT imaging, which will meet the burgeoning demand for publishing new methodologies and findings.
This Research Topic is dedicated to showcasing cutting-edge advancements in MT methodologies and their imaging results. We aim to feature innovative approaches to MT data processing, especially those adepts at handling scenarios with strong noise contamination. Manuscript that introduces novel techniques, such as machine learning-based rapid forward modeling algorithms, GPU-accelerated computations, and other pioneering technologies, are particularly welcome. We encourage submissions that explore MT inversion integrating supplementary constraints derived from disparate geophysical datasets, along with joint inversion studies that merge MT data with other geophysical data. This topic will also highlight MT imaging results across various scales, aiming to elucidate the electrical structures that underpin regional tectonic regimes. 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.
We welcome manuscripts on the following topics:
• MT imaging results and its geodynamic implications;
• Advances in MT data processing method;
• MT forward modeling algorithm;
• MT inversion method;
• MT response of anisotropic media;
• Joint inversion method and case of MT and other geophysical data;
• Mineral exploration case with MT data;
• Other state-of-art research regarding MT sounding.
This Research Topic is dedicated to showcasing cutting-edge advancements in MT methodologies and their imaging results. We aim to feature innovative approaches to MT data processing, especially those adepts at handling scenarios with strong noise contamination. Manuscript that introduces novel techniques, such as machine learning-based rapid forward modeling algorithms, GPU-accelerated computations, and other pioneering technologies, are particularly welcome. We encourage submissions that explore MT inversion integrating supplementary constraints derived from disparate geophysical datasets, along with joint inversion studies that merge MT data with other geophysical data. This topic will also highlight MT imaging results across various scales, aiming to elucidate the electrical structures that underpin regional tectonic regimes. 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.
We welcome manuscripts on the following topics:
• MT imaging results and its geodynamic implications;
• Advances in MT data processing method;
• MT forward modeling algorithm;
• MT inversion method;
• MT response of anisotropic media;
• Joint inversion method and case of MT and other geophysical data;
• Mineral exploration case with MT data;
• Other state-of-art research regarding MT sounding.
Keywords: Geo-electromagnetism, Magnetotelluric, Electrical structure, Geodynamics, Electrical conductivity, EarthScope, SinoProbe, AusLamp
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
