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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.
The COSPAR Colloquium on Solar-Terrestrial Magnetic Activity and Space Environment (STMASE) was held in the National Astronomy Observatories of Chinese Academy of Sciences (NAOC) in Beijing, China in September 10-12, 2001. The meeting was focused on five areas of the solar-terrestrial magnetic activity and space environment studies, including study on solar surface magnetism; solar magnetic activity, dynamical response of the heliosphere; space weather prediction; and space environment exploration and monitoring. A hot topic of space research, CMEs, which are widely believed to be the most important phenomenon of the space environment, is discussed in many papers. Other papers show results of observational and theoretical studies toward better understanding of the complicated image of the magnetic coupling between the Sun and the Earth, although little is still known little its physical background. Space weather prediction, which is very important for a modern society expanding into out-space, is another hot topic of space research. However, a long way is still to go to predict exactly when and where a disaster will happen in the space. In that sense, there is much to do for space environment exploration and monitoring. The manuscripts submitted to this Monograph are divided into the following parts: (1) solar surface magnetism, (2) solar magnetic activity, (3) dynamical response of the heliosphere, (4) space environment exploration and monitoring; and (5) space weather prediction. Papers presented in this meeting but not submitted to this Monograph are listed by title as unpublished papers at the end of this book.
In the past decade, there has been a substantial increase of grid-feeding photovoltaic applications, thus raising the importance of solar electricity in the energy mix. This trend is expected to continue and may even increase. Apart from the high initial investment cost, the fluctuating nature of the solar resource raises particular insertion problems in electrical networks. Proper grid managing demands short- and long-time forecasting of solar power plant output. Weather modeling and forecasting of PV systems operation is focused on this issue. Models for predicting the state of the sky, nowcasting solar irradiance and forecasting solar irradiation are studied and exemplified. Statistical as well as artificial intelligence methods are described. The efficiency of photovoltaic converters is assessed for any weather conditions. Weather modeling and forecasting of PV systems operation is written for researchers, engineers, physicists and students interested in PV systems design and utilization. “p>