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   系統號碼935454
   書刊名Solar-terrestrial environmental prediction [electronic resource] /
   主要著者edited by Kanya Kusano.
   其他著者Kusano, Kanya.
   出版項Singapore : Imprint: Springer, 2023.
   索書號QB526.F6S65 2023
   ISBN9789811977657
   標題Space environment-Forecasting.
Solar flares.
Astronomy, Cosmology and Space Sciences.
Solar Physics.
Space Physics.
Plasma Physics.
Atmospheric Science.
   電子資源https://doi.org/10.1007/978-981-19-7765-7
   
    
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內容簡介Powerful solar explosions, such as flares and coronal mass ejections, greatly disturb the electromagnetic environment around the Earth and the atmosphere. They may even impact various social systems-communications, positioning, electric power supply, aviation and activities in space. Such variations in the space environment, which can influence human activities, are called "space weather." The space weather disaster caused by a solar explosion is a potential risk in modern society. To reduce and mitigate space weather impacts, it is essential to understand the structure and dynamics of the solar-terrestrial environment and to predict the variations. This book comprehensively describes space weather, from the basics of related sciences to the possible social impacts. It was compiled based on a national research project on solar-terrestrial environment prediction conducted in Japan recently. It consists of four parts: the linkage between space weather and society; the magnetosphere of the Earth and space weather prediction; solar storms and space weather prediction; and long-term prediction of solar cycle activity and climate impacts. Each chapter covers the basics and applications of each area, which helps readers gain a broad understanding of the subject matter throughout the book. In addition, readers are able to select and read the topics they are most interested in. It is especially valuable for undergraduate and graduate students and young researchers studying space weather and related topics, and is further helpful for experts in various industries related to space weather disasters. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com) The present version has been revised technically and linguistically by the authors in collaboration with a professional translator.

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