Ionospheric Prediction And Forecasting
Download Ionospheric Prediction And Forecasting PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ionospheric Prediction And Forecasting book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Ionospheric Prediction and Forecasting
Author: Bruno Zolesi
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-09-25
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.
Ionospheric Delay Investigation and Forecasting
This book highlights ionospheric delay investigation and forecasting using GPS-TEC measurements in the equatorial region. The ionospheric delay error is the main source of error and a major concern for GPS applications as it corrupts the positioning and time transfer results. In the equatorial region, the variations of the total electron content (TEC) and the ionospheric delay are recognized to be high when compared with other regions such as mid-latitude and high latitude. The investigation and forecasting of trans-ionospheric propagation errors are essential for precise measurement and further contribute valuable information to satellite and space probe navigation, space geodesy, radio astronomy and other applications.
Machine Learning Techniques for Space Weather
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