George J. McCormack, (1887-1974) had a life-long interest in astrology and the weather. Inspired by the astrometeorological work of A.J. Pearce (1840-1923), McCormack meticulously tracked and recorded the weather, from before World War I, until his death more than half a century later. In 1947, after 23 years of research, he published his "key" to long-range weather forecasting, being this book. Confident of his ability, in the spring of 1947 McCormack predicted one of the most severe winters in decades, specifically forecasting the infamous snows of December 26, 1947. He was nationally famous overnight. The techniques he used are in this amazing book. With study, they will become yours. The weather bureau predicts the weather, day by day, by careful observation of current conditions. You can learn to predict based on underlying celestial factors, which can be known months, even years, in advance. In 1963, before the US Weather Bureau, and again in 1964, before the American Meteorological Society, McCormack presented his life's work. Both groups ignored him, to our great loss. Use this book, make a better choice.
This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics.
From the acclaimed author of Tubes, a lively and surprising tour through the global network that predicts our weather, the people behind it, and what it reveals about our climate and our planet The weather is the foundation of our daily lives. It’s a staple of small talk, the app on our smartphones, and often the first thing we check each morning. Yet, behind all these humble interactions is the largest and most elaborate piece of infrastructure human beings have ever constructed—a triumph of both science and global cooperation. But what is the weather machine, and who created it? In The Weather Machine, Andrew Blum takes readers on a fascinating journey through the people, places, and tools of forecasting, exploring how the weather went from something we simply observed to something we could actually predict. As he travels across the planet, he visits some of the oldest and most important weather stations and watches the newest satellites blast off. He explores the dogged efforts of forecasters to create a supercomputer model of the atmosphere, while trying to grasp the ongoing relevance of TV weather forecasters. In the increasingly unpredictable world of climate change, correctly understanding the weather is vital. Written with the sharp wit and infectious curiosity Andrew Blum is known for, The Weather Machine pulls back the curtain on a universal part of our everyday lives, illuminating our changing relationships with technology, the planet, and our global community.
How do meteorologists design forecasts for the next day's, the next week's, or the next month's weather? Are some forecasts more likely to be accurate than others, and why? Making Sense of Weather and Climate takes readers through key topics in atmospheric physics and presents a cogent view of how weather relates to climate, particularly climate-change science. It is the perfect book for amateur meteorologists and weather enthusiasts, and for anyone whose livelihood depends on navigating the weather's twists and turns. Making Sense of Weather and Climate begins by explaining the essential mechanics and characteristics of this fascinating science. The noted physics author Mark Denny also defines the crucial differences between weather and climate, and then develops from this basic knowledge a sophisticated yet clear portrait of their relation. Throughout, Denny elaborates on the role of weather forecasting in guiding politics and other aspects of human civilization. He also follows forecasting's effect on the economy. Denny's exploration of the science and history of a phenomenon we have long tried to master makes this book a unique companion for anyone who wants a complete picture of the environment's individual, societal, and planetary impact.
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
In this clear and straight new guide from the author of Grammar 101 and Weather 101, get a crash course in understanding the science behind weather and weather prediction. Weather is everywhere, and while it’s typically not thought about most of the time, it can get everyone’s attention in an instant—whether it’s the swirling destruction of a tornado, the wreckage from a hurricane, or the havoc of climate change on the environment. Weather 101 gives you the basics on weather, from blue skies to hail to dust storms, with information on the science of how weather works, how to predict the weather in your area, how to be ready for natural disasters, and how climate change is affecting weather patterns across the world. With this guide, you’ll be a weather expert in no time!
The Power of Weather Forecasting Is Yours through Astrology Discover how to predict large-scale weather events, from hurricanes and tornadoes to droughts and floods, with astrology as your guide. Using past examples of what was in the stars when major events occurred and providing sample calculations for future dates, Llewellyn's bestselling astrology author explains how you can chart weather events. Predicting Weather Events with Astrology features an extensive collection of techniques for forecasting weather that will occur weeks, months, or even years in advance. By studying the planets and their aspects, solar ingresses and lunar phases, and latitude and longitude, you can generate predictions for weather events happening at any time, any place. Ideal for intermediate astrologers and weather enthusiasts, this comprehensive book is an indispensible guide to astrometeorology. Includes seventy charts!
