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Titlebook: Observations, Modeling and Systems Analysis in Geomagnetic Data Interpretation; Alexei Gvishiani,Anatoly Soloviev Book 2020 The Editor(s)

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发表于 2025-3-21 16:08:12 | 显示全部楼层 |阅读模式
书目名称Observations, Modeling and Systems Analysis in Geomagnetic Data Interpretation
编辑Alexei Gvishiani,Anatoly Soloviev
视频video
概述Provides an innovative approach to the interpretation and processing of large geoscience datasets.Introduces original geoscience applications for monitoring natural extreme events.Offers a novel appro
图书封面Titlebook: Observations, Modeling and Systems Analysis in Geomagnetic Data Interpretation;  Alexei Gvishiani,Anatoly Soloviev Book 2020 The Editor(s)
描述.Geomagnetic field penetrates through all shells of the solid Earth, hydrosphere and atmosphere, spreading into space. The Earth Magnetic Field plays a key-role in major natural processes. Geomagnetic field variations in time and space provide important information about the state of the solid Earth, as well as the solar-terrestrial relationships and space weather conditions. The monograph presents a set of fundamental and, at the same time, urgent scientific problems of modern geomagnetic studies, as well as describes the results of the authors’ developments. The new technique introduced in the book can be applied far beyond the limits of Earth sciences. Requirements to corresponding data models are formulated. The conducted experimental investigations are combined with development and implementation of new methods of mathematical modeling, artificial intelligence, systems analysis and data science to solve the fundamental problems of geomagnetism. At that, formalism of Big Dataand its application to Earth Sciences is presented as essential part of systems analysis. The book is intended for research scientists, tutors, students, postgraduate students and engineers working in geoma
出版日期Book 2020
关键词anomaly; clustering; fuzzy; magnetic; recognition
版次1
doihttps://doi.org/10.1007/978-3-030-58969-1
isbn_ebook978-3-030-58969-1
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
发表于 2025-3-22 06:03:00 | 显示全部楼层
Alexei Gvishiani,Anatoly SolovievProvides an innovative approach to the interpretation and processing of large geoscience datasets.Introduces original geoscience applications for monitoring natural extreme events.Offers a novel appro
发表于 2025-3-22 10:35:17 | 显示全部楼层
,Structure of the Earth’s Magnetic Field,t the field is created due to the sources of different nature located inside the Earth, as well as in the near-Earth space—in the magnetosphere and ionosphere. The main sources of the geomagnetic field are in the liquid core, mantle and crust of the Earth. These sources create the internal EMF, whic
发表于 2025-3-22 14:16:24 | 显示全部楼层
EMF Observations and Data Processing, and recording these variations.  The regular and continuous geomagnetic observations are carried out in order to solve a wide range of problems of the physics of the Earth and solar-terrestrial relations, radiophysics and ecology, geology, geodesy, mineral exploration, etc. The basis of the Earth’s
发表于 2025-3-22 19:38:32 | 显示全部楼层
Mathematical Models of the EMF,asurements. The main EMF is determined by the temporal (over a year) and spatial (over the area of at least 10. km.) averaging of the field vector by each component. Carrying out measurements at each point of the Earth’s surface is almost impossible, and, actually, it is not a necessary problem. To
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Extreme Events and Reconstruction of the Solar Activity Parameters Based on Geomagnetic Measuremently 10. K, the solar corona represents the plasma, with magnetic field prevailing in its’ dynamics. The strongest magnetic fields are concentrated in the sunspots. Although the energy inflow from radiation exceeds significantly the energy input from the solar wind, complex interaction of the solar wi
发表于 2025-3-23 09:04:17 | 显示全部楼层
Geomagnetic Information and Big Data,rts, popular journals and newspapers, on radio and TV continues to grow. It can be also noted that sometimes this term is used too frequently. The researchers working in various fields of science mention that their results are obtained based on the Big Data, illustrate or are illustrated by the Big
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