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EVERYONE'S GUIDE - FORECAST & SOLUTION introduces new, easy-to-use statistical methods so that the reader can answer the questions: How long will nuclear peace tend to continue? And, what can be done to extend it further? Dietrich Fischer, a past MacArthur Fellow at Princeton, was emphatic: "This is an original & highly readable contribution to the most important issue facing humanity today - surviving the nuclear threat. Jeanes combines lucid common sense with mathematical rigor in this landmark work. Anyone with an interest in having a future should read this work." Similarly, another distinguished scholar & author in the field declared, "It was more than interesting: it was completely fascinating." The general literate reader can assess when a nuclear use (small or otherwise) would tend to occur at probabilities from 1% to 99.9%, & what precisely can be done to forestall such use. Jeanes debunks deterrence theory, illustrates consequences of proliferation, & provides a unified explanation for warfare, conventional & nuclear. A comprehensive work - ethical, political, historical, analytical. 100+ Graphs & Tables, 1,500+ footnotes. TOLL-FREE, 24 hours-a-day, credit card line (800) 448-3330; Publisher: (800) 446-0467.
Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Extreme Weather Forecasting reviews current knowledge about extreme weather events, including key elements and less well-known variables to accurately forecast them. The book covers multiple temporal scales as well as components of current weather forecasting systems. Sections cover case studies on successful forecasting as well as the impacts of extreme weather predictability, presenting a comprehensive and model agnostic review of best practices for atmospheric scientists and others who utilize extreme weather forecasts. - Reviews recent developments in numerical prediction for better forecasting of extreme weather events - Covers causes and mechanisms of high impact extreme events and how to account for these variables when forecasting - Includes numerous case studies on successful forecasting, outlining why they worked
A quantitative introduction to atmospheric science for students and professionals who want to understand and apply basic meteorological concepts but who are not ready for calculus.
Decades of evolving U.S. policy have led to three sectors providing weather servicesâ€"NOAA (primarily the National Weather Service [NWS]), academic institutions, and private companies. This three-sector system has produced a scope and diversity of weather services in the United States second to none. However, rapid scientific and technological change is changing the capabilities of the sectors and creating occasional friction. Fair Weather: Effective Partnerships in Weather and Climate Services examines the roles of the three sectors in providing weather and climate services, the barriers to interaction among the sectors, and the impact of scientific and technological advances on the weather enterprise. Readers from all three sectors will be interested in the analysis and recommendations provided in Fair Weather.
This book, first published in 2006, is a history of weather forecasting for researchers, graduate students and professionals in numerical weather forecasting.
This handy reference introduces the subject of forecastverification and provides a review of the basic concepts,discussing different types of data that may be forecast. Each chapter covers a different type of predicted quantity(predictand), then looks at some of the relationships betweeneconomic value and skill scores, before moving on to review the keyconcepts and summarise aspects of forecast verification thatreceive the most attention in other disciplines. The book concludes with a discussion on the most importanttopics in the field that are the subject of current research orthat would benefit from future research. An easy to read guide of current techniques with real life casestudies An up-to-date and practical introduction to the differenttechniques and an examination of their strengths andweaknesses Practical advice given by some of the world?s leadingforecasting experts Case studies and illustrations of actual verification and itsinterpretation Comprehensive glossary and consistent statistical andmathematical definition of commonly used terms
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.