A world-wide model of ionospheric irregularities giving rise to scintillations was developed by Fremouw and Rino of Stanford Research Institute. This model takes into consideration diurnal, seasonal, and solar variations. Also considered is the dependence on geomagnetic latitude, frequency, and the geometry between the transmitter and the receiver. This model was used to make computations appropriate for the GOES system, assuming the satellite to be parked on 100°W longitude. Calculations were made at 400 MHz for sunspot numbers 30, 100, and 200, coo responding to low, medium, and high solar activity; for solstice and equinoctial periods; and for several times of the day. The results are presented as contour maps of the earth as viewed from GOES. The results show that for low solar activity periods serious scintillations will occur only within about ± 10 degrees of the geomagnetic equator. During moderately active periods stations located in the vicinity of the auroral zones will also be affected. The worst case condition occurs for sunspot number 200, during the equinox, and at midnight , on the longitude of the geostationary satellite. In general, the mid-latitude regions are relatively free from scintillations. These results should be useful in determining the positioning and programming of the data readout of the numerous surface-based stations to be used in connection with the data collection and relay subsystem.

This book describes how to predict and forecast the state of planet Earth’s ionosphere under quiet and disturbed conditions in terms of dynamical processes in the weakly ionized plasma media of the upper atmosphere and their relation to available modern measurements and modelling techniques. It explains the close relationship between the state of the media and the radio wave propagation conditions via this media. The prediction and forecasting algorithms, methods and models are oriented towards providing a practical approach to ionospherically dependent systems design and engineering. Proper understanding of the ionosphere is of fundamental practical importance because it is an essential part of telecommunication and navigation systems that use the ionosphere to function or would function much better in its nonappearance on the Earth and on any planet with an atmosphere.

In order to truly understand data signals transmitted by satellite, one must understand scintillation theory in addition to well established theories of EM wave propagation and scattering. Scintillation is a nuisance in satellite EM communications, but it has stimulated numerous theoretical developments with science applications. This book not only presents a thorough theoretical explanation of scintillation, but it also offers a complete library of MATLAB codes that will reproduce the book examples. The library includes GPS coordinate manipulations, satellite orbit prediction, and earth mean magnetic field computations. The subect matter is for EM researchers; however, also theory is relevant to geophysics, acoustics, optics and astoronomy.

Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning community, offering a bridge between the fields. As this volume demonstrates, real advances in space weather can be gained using nontraditional approaches that take into account nonlinear and complex dynamics, including information theory, nonlinear auto-regression models, neural networks and clustering algorithms. Offering practical techniques for translating the huge amount of information hidden in data into useful knowledge that allows for better prediction, this book is a unique and important resource for space physicists, space weather professionals and computer scientists in related fields. Collects many representative non-traditional approaches to space weather into a single volume Covers, in an accessible way, the mathematical background that is not often explained in detail for space scientists Includes free software in the form of simple MATLAB® scripts that allow for replication of results in the book, also familiarizing readers with algorithms

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.