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| Author | : Nandita Srivastava |
| Publisher | : Frontiers Media SA |
| Total Pages | : 107 |
| Release | : 2022-02-04 |
| Genre | : Science |
| ISBN | : 2889742806 |
| Author | : Enrico Camporeale |
| Publisher | : Elsevier |
| Total Pages | : 454 |
| Release | : 2018-05-31 |
| Genre | : Science |
| ISBN | : 0128117893 |
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
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 33 |
| Release | : 2009-05-08 |
| Genre | : Science |
| ISBN | : 0309177626 |
The adverse effects of extreme space weather on modern technology-power grid outages, high-frequency communication blackouts, spacecraft anomalies-are well known and well documented, and the physical processes underlying space weather are also generally well understood. Less well documented and understood, however, are the potential economic and societal impacts of the disruption of critical technological systems by severe space weather. This volume, an extended four-color summary of the book, Severe Space Weather Events-Understanding Societal and Economic Impacts, addresses the questions of space weather risk assessment and management. The workshop on which the books are based brought together representatives of industry, the government, and academia to consider both direct and collateral effects of severe space weather events, the current state of the space weather services infrastructure in the United States, the needs of users of space weather data and services, and the ramifications of future technological developments for contemporary society's vulnerability to space weather. The workshop concluded with a discussion of un- or underexplored topics that would yield the greatest benefits in space weather risk management.
| Author | : Barbara B. Poppe |
| Publisher | : Big Earth Publishing |
| Total Pages | : 214 |
| Release | : 2006 |
| Genre | : Science |
| ISBN | : 9781555663797 |
"Sentinels of the Sun: Forecasting Space Weather". This book takes an in-depth look at how space weather affects us. Authors Barbara Poppe with Kristen Jorden.
| Author | : L.-H. Lyu |
| Publisher | : Elsevier |
| Total Pages | : 374 |
| Release | : 2002-05-08 |
| Genre | : Science |
| ISBN | : 9780080541518 |
Magnetic storms may cause damage to satellites, radiation hazard to astronauts, disruption of radio communications, and interruption of ground electric power lines. Space weather prediction becomes an important issue to be addressed in the twenty-first century. International Solar Terrestrial Program (ISTP) employs five satellites to probe the solar wind and magnetosphere, providing valuable information for space weather prediction. The Asia-Pacific region is becoming one of the economic centers in the world. The continuous drive for scientific and technological progress in parallel is evidenced by the establishment of many space research organizations in many countries of this area. In Taiwan, the National Space Program Office (NSPO) established her third satellite program -- COSMIC (Constellation Obsering Systems for Meteorology, Ionosphere and Climate), which is a science experiment to demonstrate the utility of atmospheric radio limb soundings from a constellation of six low-earth orbiting satellites in operational weather prediction, space weather monitoring, and climate monitoring and research. In order to provide a forum to discuss the many new results in this rapid-moving field and to forge international collaborations, a three-day COSPAR Colloquium on "Space Weather Study Using Multipoint Techniques" was held. This colloquium have provided a forum for experts from the international community to present new results on the timely topic "space weather".
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 88 |
| Release | : 1999-03-04 |
| Genre | : Science |
| ISBN | : 0309173213 |
In this study, the committee explores ways the National Weather Service (NWS) can take advantage of continuing advances in science and technology to meet the challenges of the future. The predictions are focused on the target year 2025. Because specific predictions about the state of science and technology or the NWS more than 25 years in the future will not be entirely accurate, the goal of this report is to identify and highlight trends that are most likely to influence change. The Panel on the Road Map for the Future National Weather Service developed an optimistic vision for 2025 based on advances in science and technology.
| Author | : Haraldur Olafsson |
| Publisher | : Elsevier |
| Total Pages | : 366 |
| Release | : 2020-11-25 |
| Genre | : Computers |
| ISBN | : 0128157100 |
Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to use reference. The book illustrates particular uncertainties in observations and data assimilation, as well as the errors associated with numerical integration methods. Stochastic methods in parameterization of subgrid processes are also assessed, as are uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts. This is an essential work for anyone who wants to improve the accuracy of weather and climate forecasting and interested parties developing tools to enhance the quality of such forecasts. Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometers Focuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecasts Includes references to climate prediction models to allow applications of these techniques for climate simulations
| Author | : Natalia Buzulukova |
| Publisher | : Elsevier |
| Total Pages | : 798 |
| Release | : 2017-12-01 |
| Genre | : Science |
| ISBN | : 0128127015 |
Extreme Events in Geospace: Origins, Predictability, and Consequences helps deepen the understanding, description, and forecasting of the complex and inter-related phenomena of extreme space weather events. Composed of chapters written by representatives from many different institutions and fields of space research, the book offers discussions ranging from definitions and historical knowledge to operational issues and methods of analysis. Given that extremes in ionizing radiation, ionospheric irregularities, and geomagnetically induced currents may have the potential to disrupt our technologies or pose danger to human health, it is increasingly important to synthesize the information available on not only those consequences but also the origins and predictability of such events. Extreme Events in Geospace: Origins, Predictability, and Consequences is a valuable source for providing the latest research for geophysicists and space weather scientists, as well as industries impacted by space weather events, including GNSS satellites and radio communication, power grids, aviation, and human spaceflight. The list of first/second authors includes M. Hapgood, N. Gopalswamy, K.D. Leka, G. Barnes, Yu. Yermolaev, P. Riley, S. Sharma, G. Lakhina, B. Tsurutani, C. Ngwira, A. Pulkkinen, J. Love, P. Bedrosian, N. Buzulukova, M. Sitnov, W. Denig, M. Panasyuk, R. Hajra, D. Ferguson, S. Lai, L. Narici, K. Tobiska, G. Gapirov, A. Mannucci, T. Fuller-Rowell, X. Yue, G. Crowley, R. Redmon, V. Airapetian, D. Boteler, M. MacAlester, S. Worman, D. Neudegg, and M. Ishii. Helps to define extremes in space weather and describes existing methods of analysis Discusses current scientific understanding of these events and outlines future challenges Considers the ways in which space weather may affect daily life Demonstrates deep connections between astrophysics, heliophysics, and space weather applications, including a discussion of extreme space weather events from the past Examines national and space policy issues concerning space weather in Australia, Canada, Japan, the United Kingdom, and the United States
| Author | : Stéphane Vannitsem |
| Publisher | : Elsevier |
| Total Pages | : 362 |
| Release | : 2018-05-17 |
| Genre | : Science |
| ISBN | : 012812248X |
Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place Provides real-world examples of methods used to formulate forecasts Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 196 |
| Release | : 2003-07-01 |
| Genre | : Science |
| ISBN | : 0309169194 |
The sun is the source of energy for life on earth and is the strongest modulator of the human physical environment. In fact, the Sun's influence extends throughout the solar system, both through photons, which provide heat, light, and ionization, and through the continuous outflow of a magnetized, supersonic ionized gas known as the solar wind. While the accomplishments of the past decade have answered important questions about the physics of the Sun, the interplanetary medium, and the space environments of Earth and other solar system bodies, they have also highlighted other questions, some of which are long-standing and fundamental. The Sun to the Earthâ€"and Beyond organizes these questions in terms of five challenges that are expected to be the focus of scientific investigations in solar and space physics during the coming decade and beyond.
